# About Name: WrittenlyHub Description: You can add a great description here to make the blog readers visit your landing page. URL: https://www.writtenlyhub.com/news # Navigation Menu - Latest: https://www.writtenlyhub.com/news - Search: https://writtenlyhub.superblog.click/search - Get in touch: https://www.writtenlyhub.com/contact/ # Blog Posts ## What You Need To Know About Perplexity Computer Agent Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-04-24 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: e: Perplexity Computer Agent: What You Need To Know Meta Description: Perplexity Computer runs AI agents in the cloud and executes tasks while you're away. Learn how it works, what it does, and its limitations. Tags: Perplexity, AI Agents, Perplexity Computer Tag URLs: Perplexity (https://www.writtenlyhub.com/news/tag/perplexity), AI Agents (https://www.writtenlyhub.com/news/tag/ai-agents), Perplexity Computer (https://www.writtenlyhub.com/news/tag/perplexity-computer) URL: https://www.writtenlyhub.com/news/what-you-need-to-know-about-perplexity-computer-agent **Key Takeaways:** 1. The Perplexity Computer agent is a cloud-based AI that executes web tasks without running on a local machine. 2. Uses a vision-language model to perceive web pages as a human would. 3. Handlesconsistent monitoring, form submissions, and structured web research. 4. Strong standalone agent, but the future points toward multi-agent systems. The Perplexity Computer agent focuses on taking action. It can browse websites, fill out forms, gather data, and complete multi-step tasks, all without you lifting a finger. It manages repetitive, web-based work directly by running tasks on remote servers. This article covers how the Perplexity Computer agent works, what it can do, where it falls short, and whether it belongs in your workflow. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1777041982723-compressed.png) ## Understanding the Perplexity Computer agent The Perplexity Computeragent is a cloud-based AI agent product from Perplexity AI. It is designed to take action on the web on your behalf. You describe what you need, and it navigates the web, handles multi-step flows, and returns a result. None of this runs on your machine. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1777041984026-compressed.png) The agent also supports over [400 managed OAuth connectors](https://www.builder.io/blog/perplexity-computer) for services like Slack, Gmail, GitHub, and Notion. ### Who is Perplexity Computer agent for? **User Type** **Best Use Case** Individual Professionals Research, monitoring, form submissions Small Teams Scheduled data collection, booking flows Enterprise AI Teams Pilot workflows before custom builds Analysts & Researchers Competitor analysis, data gathering ## How does Perplexity Computer agent work? The Perplexity Computer agent follows a perceive-reason-act loop. A vision-language model reads a rendered web page and decides the next action. Then it executes the action, evaluates the result, and continues until the task is complete. Here is a closer look at the three mechanisms that power this. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1777041985505-compressed.png) ### Generalist flexibility Research, scheduling, content creation, data analysis, and form submissions can all be handled within a single conversation with shared context. Perplexity Computer works out of the box. ### Cloud environment consistency Every session starts from the same managed cloud environment. There are no dependencies to install, no Python versions to manage, and no environment quirks to debug. ### Multi-agent orchestration The orchestration layer is where Perplexity Computer most clearly separates itself from competitors. It manages subagents for you, Claude Opus 4.6, Grok, and GPT. ## Top 3 things Perplexity Computer agent can do The agent performs best on tasks that are repetitive, web-navigation-heavy, and have clear inputs and outputs. These are the categories where it consistently delivers strong results. ### Consistent monitoring Tasks like "notify me when this item is back in stock" or "check if this page has changed" run in the cloud, with no local resource usage. The agent performs the monitoring at defined intervals, and you only hear from it when something changes. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1777041986783-compressed.png) ### Booking and scheduling High-friction scheduling tasks are well within the agent's capability. It navigates multi-step booking flows using the same logic a human would apply, handling edge cases such as unavailable time slots by trying alternative options. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1777041987970-compressed.png) ### Submissions and form filling Government portals, vendor registration forms, permit applications, and compliance submissions often require navigating complex, multi-page flows without an automation-friendly API. The Perplexity Computer agent sees and interacts with these interfaces just as a person would. ## Limitations faced by the Perplexity Computer agent No tool is without its constraints. The Perplexity Computeragent has significant limitations worth understanding before you commit to a workflow built around it. ### No access to local files Since the agent runs entirely on Perplexity's cloud infrastructure, it has zero access to your desktop, local documents, or locally installed applications. If your task requires pulling data from a file stored on your machine, this agent cannot help. ### Buggy connectors The agent advertises over 400 integrations, but real-world testing reveals inconsistency. OAuth tokens for certain services expire between sessions, requiring re-authentication each time. ### Black box issue Everything the agent does happens inside a cloud sandbox with no window in. There is no live preview, step-by-step visibility, or real-time view of the agent's actions. ## Is Perplexity Computer agent the future? The Perplexity Computer agent is the most polished, managed AI agent available for general-purpose web task delegation. It handles what it was built for remarkably well. But the future of AI agents is multi-agent systems, where specialized tools collaborate in coordinated workflows. No single agent can substitute for that kind of precision. ## Conclusion The Perplexity Computer agent removes genuine friction and redirects time toward work that actually requires a human. Organizations that start building fluency with tools like Perplexity Computer now will be better positioned to slot them into larger multi-agent architectures. **Disclaimer:** _This article is AI-assisted content and may contain errors. AI referral traffic volumes and percentages change frequently. Verify with your own analytics data._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Perplexity Computer Review: A Closer Look at the AI Agent Platform Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-04-23 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Perplexity Computer Review: What It Gets Right and Wrong Meta Description: Built for end-to-end execution, Perplexity Computer delivers speed and range, but inconsistent outputs and steep pricing narrow its real-world use. Tags: Perplexity, AI Agents, Perplexity Computer, Agentic AI Tag URLs: Perplexity (https://www.writtenlyhub.com/news/tag/perplexity), AI Agents (https://www.writtenlyhub.com/news/tag/ai-agents), Perplexity Computer (https://www.writtenlyhub.com/news/tag/perplexity-computer), Agentic AI (https://www.writtenlyhub.com/news/tag/agentic-ai) URL: https://www.writtenlyhub.com/news/perplexity-computer-review **Key Takeaways:** - Perplexity Computer is not a physical device. It is a cloud-hosted autonomous agent platform that puts 19 frontier AI models to work from a single instruction. - Its standout feature is intelligent task routing. The platform automatically assigns each subtask to the most capable model, eliminating manual tool switching entirely. - The 400+ app integrations look impressive, but real-world connector reliability drops significantly outside core productivity tools like Gmail, Slack, and Notion. - At $200 a month, the value only adds up for users running high-volume, multi-step workflows. Casual users will not recover the cost. - It is the most capable autonomous-agent platform publicly available today, but human oversight remains non-negotiable for any output that carries real consequences. Perplexity Computer [launched in February 2026](https://www.perplexity.ai/hub/blog/introducing-perplexity-computer), and the AI community has not stopped talking about it since. The premise is intriguing. An autonomous agent platform that takes a single instruction and runs it across 19 frontier AI models, hundreds of connected tools, and entire multi-step workflows without constant supervision. We put it through its paces. Here is what actually holds up and what still needs work. ## What Perplexity Computer actually is [Perplexity Computer](https://www.writtenlyhub.com/news/what-is-perplexity-computer) is a cloud-based autonomous agent platform, and understanding that distinction matters before you evaluate anything else about it. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776946655448-compressed.png) ### Not a device The platform runs inside Perplexity's cloud infrastructure, inside an isolated Linux environment with real compute, a real filesystem, and real browser access. It doesn’t need any local setup or installations. Users can [access Perplexity Computer](https://www.writtenlyhub.com/news/how-to-access-perplexity-computer) via a browser, describe an outcome, and the platform gets to work. Perplexity's own framing puts it plainly: “Chat interfaces answer questions, agents get things done.” It can: - Connect to [hundreds of connectors](https://www.perplexity.ai/help-center/en/articles/13837784-what-is-computer) through managed OAuth, including Slack, Gmail, GitHub, and Notion - Run multiple agent instances in parallel, independently, around the clock - Keep individual tasks active for days or weeks - Surface only when a human decision is genuinely needed It is not a chatbot with extra features. It is closer to a digital worker that you brief once and check in on occasionally. ## 3 core systems behind Perplexity Computer This is not one model doing one thing. Perplexity Computer is an orchestration layer that intelligently coordinates multiple specialized models at every step of a task. Here’s all you need to know about its inner workings: ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776947085025-compressed.png) ### 1\. Multi-model orchestration No single model runs everything here. The platform routes each subtask to whichever model handles it best. Here is how the division of labor breaks down: - Claude Opus 4.6 anchors the core reasoning layer - Gemini takes on research-heavy, data-intensive work - Grok handles fast, lightweight tasks needing quick turnaround - GPT-5.2 manages anything requiring long-context recall - Nano Banana handles image generation - Veo 3.1 takes care of video output Users can override model assignments per subtask. Hard limits on token spend are also available. The routing logic is automatic, but the final call stays with you. ### 2\. Persistent memory and personalization Perplexity Computer does not start cold every session. It carries forward prior projects, brand assets, and preferences automatically. Over 50 specialist skill playbooks load on demand depending on task type. Live service connections mean it builds on existing context, not from scratch. ### 3\. End-to-end project execution The input is a goal, not a step-by-step instruction set. The platform handles decomposition from there, spinning up sub-agents when parallel work is needed. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776947131668-compressed.png) Finished outputs are the expectation. It only checks back in when a human decision is genuinely required. ## What it does really well Perplexity Computer has some genuinely impressive capabilities that show up consistently in real-world use. The generalist's flexibility is the first thing you notice. It handles research, code generation, design output, data processing, and deployment all inside one interface. The manual handoffs that eat up your time are largely gone. People have reported going from a brand brief to two [fully deployed applications in under 30 minutes](https://karozieminski.substack.com/p/perplexity-computer-review-examples-guide), GitHub commits and all. That kind of speed is hard to argue with. The same speed shows up in how it researches.  Web, academic, social media, image, video, shopping, and people searches all run at the same time. It reads full source pages too, not just snippets. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776947196319-compressed.png) You can ask it to flag where sources disagree with each other. That is more useful than a plain summary, especially for research-heavy work. Cloud consistency is an underrated win. Every session starts from the same base environment. For teams sharing workflows across different setups, that reliability matters more than it sounds. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776947198914-compressed.png) App building rounds it out. Functional applications with live previews, brand-matched styling, and export options are genuinely within reach. Finished code goes straight to GitHub without ever leaving the platform. Early users have shipped [presentations, full datasets, and complete websites](https://computertech.co/perplexity-computer-review/) from a single brief. ## Where it falls short No platform at this stage is without gaps. Perplexity Computer is no exception, especially as workflows move beyond simple use cases. Most limitations don’t appear immediately. They show up as tasks repeat, scale, and start carrying real outcomes. The ones that follow are worth knowing before you commit: - Connector reliability is inconsistent. The “400 integrations” number is real, but performance varies across tools. - Core tools like Gmail and Notion are stable. Enterprise systems and niche apps are less reliable. - The same workflow can deliver strong results once and weak results the next, without clear reasons. - The AI makes confident mistakes. Outputs can sound complete while being factually wrong or structurally incomplete. - In one case, an agent [submitted a research index as a final output](https://riotimesonline.com/perplexity-computer-field-test-ten-days-destruction) without doing the actual work. - Human review is required for any high-stakes output. - Visibility is limited. Sub-agent activity is not fully transparent during execution. - This creates challenges for teams with compliance or audit requirements. - Local workflows are not supported. Local files, credentials, installed software, and on-premise systems are out of scope. - If system-level access is required, local agent frameworks are a better fit. - Production pipelines need built-in human checkpoints to handle output variability. ## Perplexity Computer vs the competition **Area of comparison** **Perplexity Computer** **Claude Cowork** **OpenClaw** Runs on Cloud Local machine Local machine Models used 19 frontier models Anthropic only Varies Best for Multi-tool execution Deep document work Developer system access Security Sandboxed cloud On-device Exposed, local risk Setup required None Yes Yes Works offline No Yes Yes Price $200/month Included with Claude Free, open source ## Is $200 a month worth it? At $200 a month with 10,000 credits included, this is far from an impulse purchase. The value depends entirely on how you work. **Worth it if you are:** - Running complex, multi-step research or automation workflows regularly - Currently paying for several tools that the computer could consolidate into one - A founder, analyst, or operator where time saved directly translates to output - An enterprise team of over 100 organizations requested access within the first weekend **Worth skipping for now if you are:** - An occasional AI user who opens a tool a few times a week - On a tight budget. Because there is no trial period, $200 is committed upfront - A team with strict data residency or compliance requirements - Anyone whose workflows depend on local file access or system-level integration ## The bottom line Perplexity Computer is one of the most capable autonomous agent platforms available today. It is not perfect, and the $200 price will not suit casual users. For teams running multi-step workflows, it is worth serious consideration. Connector reliability and visibility will improve over time. What matters is where it already stands and where it is heading. If your workflow fits what it does well today, there is little reason to wait. **Disclaimer:** _This blog is AI-assisted and draws on publicly available hands-on accounts, early user reports, and official Perplexity documentation as of April 2026. Perplexity Computer is an evolving platform, and capabilities, pricing, and reliability may have changed since publication. Test it against your own workflows before making a purchasing decision._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## What Is Perplexity Computer (and Why It Matters) Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-04-22 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: What Is Perplexity Computer? Quick Look At the Update Meta Description: Perplexity Computer runs 19 AI models in the cloud to execute browser tasks without local setup. Learn what is Perplexity Computer and what it can do. Tags: Perplexity, AI Agents, Perplexity Computer, Agentic AI Tag URLs: Perplexity (https://www.writtenlyhub.com/news/tag/perplexity), AI Agents (https://www.writtenlyhub.com/news/tag/ai-agents), Perplexity Computer (https://www.writtenlyhub.com/news/tag/perplexity-computer), Agentic AI (https://www.writtenlyhub.com/news/tag/agentic-ai) URL: https://www.writtenlyhub.com/news/what-is-perplexity-computer **Key Takeaways:** - Perplexity Computer is a cloud-hosted AI agent. You assign a task in plain language, and it executes inside a virtual browser on Perplexity's servers. - It orchestrates 19 AI models from OpenAI, Anthropic, and Google, routing each step to the best-suited model. This is architecturally different from single-model agents. - Access requires the Max plan at $200/month, which also includes Comet browser priority, unlimited deep research, and access to frontier models. - Its sweet spot is repetitive, browser-based work such as research, form filling, scheduling, and monitoring. It cannot access local files or internal business systems. - Perplexity has a growing user base, owing to its faster browser agent. ![Perplexity Computer screen](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/chatgpt-image-apr-22-2026-042438-pm-1776855348389-compressed.png) Perplexity Computer is a cloud-based AI agent that takes over a virtual browser, executes tasks on your behalf, and returns results. You delegate, and it acts. When Perplexity launched Computer in February 2026, its [ARR jumped 50% in one month](https://www.pymnts.com/artificial-intelligence-2/2026/perplexitys-shift-to-ai-agents-boosts-revenue-50/), hitting $450M. This article covers what it does, who needs it, its real limits, and whether the cost holds up. ## The change from agent to computer While "Agent" implies assistance, "Computer" implies execution. Perplexity is positioning the computer as an infrastructure you delegate to, rather than presenting a simple chatbot. This is what drove a [50% revenue surge](https://www.techinasia.com/news/ai-search-startup-perplexity-passes-450m-arr), where users pay more for AI that acts. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776852657090-compressed.png) ## Exploring the top 3 capabilities of Perplexity Computer What is Perplexity Computer used for in practice? It serves the purpose of structured, browser-based workflows that utilize time without needing judgment. ### Research and data gathering Point it at websites and ask it to pull pricing, collect contacts, or compare specs. It reads rendered pages the way a human does, handles dynamic apps, and returns structured output. ### Form filling and submissions It can work through government portals, vendor registrations, and permit applications in multi-step flows with no API shortcut. The agent navigates each step, handles errors, and completes submissions while you stay focused elsewhere. ### Monitoring and scheduling These tasks run entirely in the cloud with commands like "Alert me when this is back in stock" or "Book this when availability opens." Nothing stays on, and you get notified when something changes. ## Do you need Perplexity Computer? If your week includes recurring, browser-based tasks that cost you hours, you need Perplexity Computer. If you need AI integrated with your CRM, local files, or internal systems, this tool does not operate at that level. ## How exactly does Perplexity Computer work? Perplexity Computer is a cloud-based multi-agent orchestration system. It accepts a high-level goal, decomposes it into discrete subtasks, and routes each subtask to integrated AI models. The result lands back in a single interface, synthesized and ready to act on. Understanding what is actually happening under the hood explains both why it performs the way it does: ### Background task runs The foundation of Perplexity Computer's architecture is asynchronous execution. Tasks run in the background, with support for condition-based triggers, scheduled jobs, and proactive actions like morning briefings and deadline reminders. ### Parallel web search Seven parallel search types, web, academic, people, image, video, shopping, and social,  run simultaneously on computer. This is different from standard AI search, which typically processes one query at a time and summarizes from excerpts. ### Data Integration Perplexity Computer supports authenticated integrations with Gmail, Outlook, GitHub, Linear, Slack, Notion, Snowflake, Databricks, Salesforce, and more. A single prompt can trigger research, document creation, email delivery, and a scheduled follow-up without manual handoffs between steps. ## So, how justified is the cost? At [$200/month](https://techcrunch.com/2026/02/27/perplexitys-new-computer-is-another-bet-that-users-need-many-ai-models/), Perplexity Computer is a power-user product. If it replaces 10 hours of manual web work per week, the math is easy. For occasional use, the $20/month Pro plan is the right tier, but a computer is not included there. The purchase is justified for teams with recurring browser workflows. It is not made for casual users. ## Conclusion Perplexity Computer points at where the industry is going, from AI that explains to AI that executes. The next practical step is to audit your own workflow. Find the tasks that are repetitive, browser-based, and currently costing you time. As multi-model orchestration matures and competition drives down prices, becoming fluent with agentic tools now puts you ahead. **Disclaimer:** _This article is AI-assisted content and may contain errors. All projections are from April, 2026. Verify with the original research._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## How do I access my Perplexity Computer? Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-21 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: How to Access Perplexity Computer: The Step-by-Step Guide Meta Description: How to access Perplexity Computer: log in, upgrade to Max or Enterprise, open the Computer dashboard, set a project goal, and let the AI run the task. Tags: Perplexity, Perplexity Computer, Max and Enterprise users, digital workers Tag URLs: Perplexity (https://www.writtenlyhub.com/news/tag/perplexity), Perplexity Computer (https://www.writtenlyhub.com/news/tag/perplexity-computer), Max and Enterprise users (https://www.writtenlyhub.com/news/tag/max-and-enterprise-users), digital workers (https://www.writtenlyhub.com/news/tag/digital-workers) URL: https://www.writtenlyhub.com/news/how-to-access-perplexity-computer **Key Takeaways:** - Access depends on your plan. Only Max and Enterprise users can use Perplexity Computer right now - It runs entirely in the cloud, so you just log in and start using it - The system works best when you give it clear projects instead of simple questions - The AI handles execution while you review, guide, and refine results ![Person using a laptop with an AI task automation dashboard showing multiple workflows running in the cloud, illustrating how to access Perplexity Computer](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/untitled-design-27-1776775150566-compressed.png) We’ve gone from chatbots that answer questions to "digital workers" that actually finish your to-do list. And Perplexity Computer is currently leading this charge. It isn't a physical computer you buy at a store, but a powerful cloud-based agent designed to execute complex tasks. If you're wondering how to access Perplexity Computer, the process is simple, and we’re here to guide you through it. ## What is Perplexity Computer? Perplexity Computer is a cloud-based AI system that executes tasks instead of just answering questions. Unlike traditional AI tools, it can research, write, code, and complete workflows across tools in one continuous process. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776751717222-compressed.png) ### Who can access it? Right now, access is focused on power users and businesses. You can use Perplexity Computer if you are: - **A Perplexity Max Subscriber**: This is the premium tier costing roughly $200 per month. - **An Enterprise User:** Organizations have access through their professional plans. - **A Samsung Galaxy S26 Owner:** Thanks to a special 2026 partnership, these users get system-level access. Here are the [subscription plans](https://www.perplexity.ai/pro) for different tiers: Plan Tier Monthly Cost (USD) Computer Access Free $0 No Pro $17 billed annually Coming Soon Max $167 billed annually Yes Enterprise $40 - $325 Yes ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776751718765-compressed.png) ## Where to access the Perplexity Computer interface If you're looking for how to access Perplexity Computer, you don’t need to install any software or dedicate hardware. Just visit [perplexity.ai](http://perplexity.ai) and log in. There, you’ll see the “Computer” feature waiting for you to prompt in the dashboard. It runs entirely in a secure cloud sandbox. This means the AI does its heavy lifting on Perplexity’s servers, not touching your personal computer for computing power or resources. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776751720087-compressed.png) ## Step-by-Step: How to start using Perplexity Computer Follow these steps to access Perplexity Computer: ### 1\. Log in to your account Go to your Perplexity account and sign in through the web interface. This is where all your tasks, history, and workflows are managed in one place. ### 2\. Upgrade to Max or Enterprise Ensure you are on the Max or Enterprise plan. The Computer feature is only available to these tiers. Without access, the dashboard won’t appear in your interface. ### 3\. Find the dashboard Click the Computer icon or navigate to the dedicated dashboard. This opens a separate workspace designed specifically for task execution. Think of it as your control panel for managing AI-driven workflows. ### 4\. Set an elaborate project goal Don’t just ask a question, give it a project. Example: “Build a market research report on AI trends and email it to my team.” The clearer your outcome, the better the system can plan and execute. It works best when you describe the final result, not just the topic. ### 5\. Let Perplexity run The system will break your goal into small tasks and run them automatically. Tasks can run in the background for extended periods without supervision. ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776751720932-compressed.png) ## What makes it different? Standard AI is like a librarian; Perplexity Computer is like an employee. - **Multi-model power:** It uses a team of AI brains (like Claude 4.6 and Gemini) to solve problems. - **Asynchronous work**: It can run for hours in the background. You can close your laptop, and it will keep working. - **Tool usage:** It can actually use browsers, filesystems, and APIs to get things done. ## What content marketers should look forward to To get the most out of Perplexity Computer, content marketers need to shift from execution to direction: - **Think in outcomes, not prompts:** Define the final deliverable, not just the task. - **Run full workflows:** Use it for end-to-end projects, not one-off content pieces. - **Leverage built-in research:** Let it handle insights, trends, and competitor analysis. - **Work asynchronously:** Assign tasks and let them run in the background. - **Focus on strategy:** Spend more time on storytelling, positioning, and brand voice. ## Conclusion Accessing Perplexity Computer is simple. Log in, open the dashboard, and start a task. But using it well is a process. Define a clear outcome, let the system break it into tasks, and shift your role from doing the work to reviewing and refining results. From there, your role shifts from “doing the work” to guiding, reviewing, and refining outputs as the AI runs workflows in the background. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## How to Access and Set Up the Perplexity Computer? (Installation) Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-18 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: How to Access & Set Up Perplexity Computer (2026) Meta Description: Perplexity Computer access: Log in to perplexity.ai, click the Computer icon, hit Start a Task, connect your apps via Connectors, describe your task. Tags: Perplexity, Perplexity Computer, AI Mode sessions Tag URLs: Perplexity (https://www.writtenlyhub.com/news/tag/perplexity), Perplexity Computer (https://www.writtenlyhub.com/news/tag/perplexity-computer), AI Mode sessions (https://www.writtenlyhub.com/news/tag/ai-mode-sessions) URL: https://www.writtenlyhub.com/news/perplexity-computer-setup-guide **Key Takeaways:** - Perplexity Computer is available on Pro and Max plans - Access it via the Computer icon in the left sidebar on perplexity.ai - Click "Start a task" and describe what you want done - Connect your apps like Gmail, Slack, and Notion via Connectors for actionable tasks - It runs in the cloud, in the background, even after you close your browser ![An unattended desk at 4:00 a.m. with a glowing monitor actively running tasks on its own with Perplexity Computer.](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/how-to-access-and-set-up-perplexity-computer-installation-1776431854564-original.png) We all know how Perplexity already made searches feel so much better. Well, they didn't stop there. They've been cooking something way more interesting, and it's called the **Perplexity Computer**. It doesn't just find information for you anymore; it can actually _use_ your computer. Like, open apps, click around, get stuff done - on your actual screen. Wild, right? Here's how to get it set up. ## What is Perplexity Computer? Perplexity Computer is essentially an AI agent that can take control of your computer to complete tasks for you. You give it an instruction, something like "find this file and summarize it" or "book me a flight for next Friday", and it actually goes ahead and does it. It sees your screen, moves the cursor, clicks buttons, and fills out forms. The whole thing. ![An unattended desk at 4:00 a.m. with a glowing monitor actively running tasks on its own with Perplexity Computer.](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776431404336-compressed.png) Here's how to get it up and running on your computer in no time. ## What you'll need before you start Before jumping in, just make sure you have these ready: - **Perplexity Pro or Max subscription**: Perplexity Computer is available on both paid plans; the free plan won't get you in. - **Any device**: Works on web, iOS, and Android, so no device restrictions here. - **Stable internet connection**: Non-negotiable for anything AI these days. That's honestly it. Pretty low barrier to get started. ## How to use the Perplexity Computer? Getting to Perplexity Computer setup is easy. Here's how: - **Step 1: Sign up/log in** to your Perplexity account at _perplexity.ai_. ![Sign up/log in](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776431405819-compressed.png) - **Step 2:** On the Home page, look for the **Computer icon in the left sidebar** and click on it. ![Computer icon in the left sidebar](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776431407751-compressed.png) - **Step 3:** Once the Computer panel opens, click on the **"Start a task"** field and describe what you want done. ![Start a task](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776431409607-compressed.png) And that's it, you're in. The interface is clean and simple, so you won't feel lost once you land there. ## Setting up your first task Once you're in the Computer panel, here's how to access the Perplexity Computer: 1. **Connect your apps**: In the Computer panel, click on **Connectors** in the sidebar. ![click on Connectors](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776431412466-compressed.png) 2. **Browse the list of available apps**:  Like Gmail, Slack, Notion, GitHub, and more. Click **Enable** next to the ones you want to connect and complete the sign-in. ![Browse the list of available apps](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1776431415188-compressed.png) 3. **Start a task**: Click the **"Start a task"** field and describe what you want done in plain language. The clearer your prompt, the better the result. 4. **Let it run**: Perplexity Computer works asynchronously, meaning it runs in the background even if you close your browser. You can come back later to find finished results waiting for you. **Note:** Perplexity Computer requires no installation; it runs entirely in the cloud. That said, you can optionally install the Perplexity desktop app or PWA on your device for a more app-like experience. ## Tips for first-time users A few things worth knowing before you dive in: - **Start small**: Give it simple tasks first to get a feel for how it works. - **Be specific in your prompts**: The clearer your instructions, the better it performs. - **Watch what it's doing**: It's controlling your screen, so keep an eye on it, especially in the beginning. - **Be mindful of privacy**: Avoid giving it tasks that involve sensitive passwords or private information. ## Is Perplexity Computer worth it? Studies show that employees spend nearly [**60% of their workday on repetitive, routine tasks**](https://asana.com/resources/why-work-about-work-is-bad) like searching, copy-pasting, filling forms, and jumping between apps. Perplexity Computer is specifically built to take that off your plate. It handles the busywork so you can focus on the stuff that actually matters. And the setup takes under five minutes. For something that could meaningfully free up hours of your week, that's a pretty easy trade-off. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Meta Launches Official GTM Template for Simpler Pixel Setup Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-16 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Meta Just Made Pixel Setup Easier With a GTM Template Meta Description: Meta released an official Google Tag Manager template for Meta Pixel. Simplifies setup, reduces errors, and makes cross-platform tracking faster. Tags: GTM Template, Meta Launches GTM, Pixel installation, Google Tag Manager Tag URLs: GTM Template (https://www.writtenlyhub.com/news/tag/gtm-template), Meta Launches GTM (https://www.writtenlyhub.com/news/tag/meta-launches-gtm), Pixel installation (https://www.writtenlyhub.com/news/tag/pixel-installation), Google Tag Manager (https://www.writtenlyhub.com/news/tag/google-tag-manager) URL: https://www.writtenlyhub.com/news/meta-pixel-google-tag-manager-template **Key Takeaways:** - Meta launched an official Google Tag Manager template for Meta Pixel setup in early April 2026 - The template simplifies Pixel installation, event configuration, and cross-platform tracking - Previously, setting up Meta Pixel through GTM required manual tag creation and custom code - The update makes attribution more consistent for advertisers running campaigns across Meta and Google - Agencies managing multiple client accounts will see the biggest time savings from the standardized setup ![Google Tag Manager interface showing the official Meta Pixel template with standard event configuration fields for simplified ad tracking setup](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/meta-launches-google-tag-manager-template-for-pixel-1776330527419-original.png) If you have ever spent an hour debugging a Meta Pixel installation inside Google Tag Manager, this update is for you. Meta released an official [GTM template for Meta Pixel](https://almcorp.com/blog/meta-pixel-google-tag-manager-official-template/), reported on April 8. The template standardizes how Pixel fires events, tracks conversions, and passes data between Meta's ad platform and Google's tag management system. This sounds like a small thing. It is not. Pixel setup through GTM has been a consistent source of errors for advertisers and agencies for years. ## What the template actually changes Before this update, setting up Meta Pixel in Google Tag Manager meant creating custom HTML tags, manually configuring event parameters, and troubleshooting firing rules that often broke during site updates. The official template handles the heavy lifting. It provides a structured interface inside GTM for configuring Pixel events like PageView, Purchase, AddToCart, and Lead without writing custom code. Event parameters map to standard fields rather than requiring manual variable setup. For agencies running Meta ads for multiple clients, this eliminates one of the most common implementation headaches. Every GTM container used to require a slightly different custom setup. Now there is a standard path. ## Why this matters for attribution and ad performance Meta also recently updated its attribution model. Click-through attribution for website conversions now only counts real link clicks. Other interactions like saves, shares, and comments are tracked separately under a new "engage-through attribution" category. Those two changes together, cleaner Pixel implementation through GTM and sharper attribution definitions, mean advertisers should see more accurate conversion data going forward. Accurate data matters because [Meta's Advantage+ campaigns](https://www.digitalapplied.com/blog/meta-advantage-plus-ai-chat-signals-strategy-2026) and AI-driven ad optimization depend on the signals Pixel sends back. A poorly implemented Pixel that fires inconsistently or double-counts events gives the algorithm bad data. Bad data leads to worse targeting and wasted spend. ## This is part of a bigger Meta advertising push The GTM template arrives alongside several other Meta ad updates from late March and early April: - Meta changed in-stream ad labels from "Sponsored" to "Ad" - Meta expects [verified advertisers to drive 90% of ad revenue](https://almcorp.com/blog/digital-marketing-news-march-21-31-2026/) by end of 2026, up from 70% currently - Meta launched the Creator [Fast Track program paying up to $3,000/month](https://about.fb.com/news/2026/03/creator-fast-track-grow-your-audience-earn-money-on-facebook/) to attract creators to Facebook - Meta added Manus AI integrations for Ads Manager, Instagram, and WhatsApp Business Together, these moves point to Meta maturing its advertising infrastructure. Simpler Pixel setup, cleaner attribution, AI-powered campaign tools, and stronger advertiser verification. ## What to do with this If you manage Meta ads through Google Tag Manager, update your implementation. The official template is available in the GTM template gallery. For new setups, use the template from the start. For existing implementations, test the template in a staging container first. Compare event firing behavior against your current custom tags before switching over. If you run both Meta and Google campaigns, the standardized GTM approach makes cross-platform reporting cleaner. One tag management system handling both platforms with official templates reduces the chance of tracking discrepancies. This is not a flashy update. It is a practical one that saves time and reduces errors for every marketer running Meta ads. **Disclaimer:** _This article is AI-assisted content and may contain errors. The Meta GTM template release was reported by Optimixed and Social Media Today in early April 2026. Verify implementation details with Meta's official developer documentation._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google Is Testing a Direct Jump From AI Overviews Into AI Mode on Desktop Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-15 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google Moves Desktop Users to AI Mode From Overviews Meta Description: Google is testing a desktop feature that jumps users from AI Overviews into the full AI Mode experience. More zero-click sessions ahead. Tags: AI Overviews, Google expanded, AI Mode sessions, 92-94% end Tag URLs: AI Overviews (https://www.writtenlyhub.com/news/tag/ai-overviews), Google expanded (https://www.writtenlyhub.com/news/tag/google-expanded), AI Mode sessions (https://www.writtenlyhub.com/news/tag/ai-mode-sessions), 92-94% end (https://www.writtenlyhub.com/news/tag/92-94percent-end) URL: https://www.writtenlyhub.com/news/google-ai-mode-ai-overviews-desktop-test **Key Takeaways:** - Google is testing a feature on desktop that pushes users from AI Overviews directly into AI Mode - This transition previously existed only on mobile. The desktop test was spotted on April 8, 2026 - AI Mode sessions are 3x longer than traditional searches and 92-94% end without a click to an external site - The test suggests Google wants desktop users to adopt conversational search behavior - If this rolls out broadly, the window for publishers to capture organic traffic from AI-powered results shrinks further ![Desktop Google search result showing AI Overview with a button to jump directly into AI Mode for conversational search experience](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-testing-ai-mode-jump-from-ai-overviews-on-desktop-1776261310087-compressed.png) Google is building a bridge between AI Overviews and AI Mode. And it now works on desktop. Optimized reported on April 8 that Google is testing a feature allowing desktop users to [jump directly from an AI Overview into AI Mode](https://techcrunch.com/2026/01/27/google-now-lets-users-jump-from-ai-overviews-into-ai-mode-conversations/). Previously, this transition only existed on mobile search. The test means users who see an AI Overview at the top of search results can now tap into a full conversational AI experience without leaving the search page. On mobile, this pattern has been live for months. Bringing it to the desktop signals Google is serious about training all users to interact with search conversationally. ## Why this matters more than it looks The numbers behind AI Mode make this test significant. Google distributed a guide to marketers in March 2026, confirming that AI Mode queries are now 3x longer than traditional typed searches. Users ask follow-up questions within the same session. They combine text, voice, and camera inputs. Semrush data from late 2025 found that [92-94% of AI Mode sessions](https://www.semrush.com/blog/google-ai-mode-seo-impact/) end without a click to an external website. Users spend an average of 49 seconds per session, more than double the 21 seconds for AI Overviews. For brand comparisons, the median session time was 77 seconds. That behavior pattern means most users get their answers inside AI Mode and never visit a publisher's site. If Google funnels more desktop users into AI Mode through AI Overviews, the zero-click problem gets bigger. ## Desktop users search differently and this changes the equation Mobile users adopted AI Overviews and AI Mode faster. Desktop users tend to be [more research-oriented](https://www.searchenginejournal.com/ai-desktop-mobile-divide-ai-search-traffic-ignores-mobile-strategy/549122/). They open multiple tabs, compare sources, and click through to websites more often. Pushing desktop users from AI Overviews into AI Mode could change that behavior. Instead of scanning ten blue links and opening several, users would enter a conversational interface that synthesizes answers from multiple sources into a single response. For publishers, desktop search has been a relative safe zone compared to mobile. Desktop click-through rates from traditional search results are generally higher. If AI Mode adoption grows on desktop, that advantage narrows. ## What content teams should track This is still a test. Google has not confirmed plans for a broader rollout. But the pattern from previous tests is consistent. AI headline rewrites started as a "small test" in Discover and became a permanent feature within a month. The same language appeared for the Search headlines test. For SEO and content teams, the practical steps are: - Monitor desktop traffic trends in Google Search Console separately from mobile - Track how much of your traffic comes from traditional search results versus AI-generated features - Focus content on topics where users need depth that a single AI answer cannot provide - Ensure your content is structured to be cited by AI systems, not just ranked in traditional results [Google has 75 million daily active users](https://www.searchenginejournal.com/seo-pulse-ai-mode-hits-75m-users-gemini-3-flash-launches/563725/) in AI Mode globally, a number shared by VP Nick Fox in March 2026. If desktop adoption accelerates through features like this, that number will grow significantly. The direction is clear. Google is moving every user toward conversational AI search. The question for publishers is not whether this will happen. It is how fast. **Disclaimer:** _This article is AI-assisted content and may contain errors. The desktop AI Mode test was reported by Optimixed on April 8, 2026. Google has not confirmed broader rollout plans. AI Mode usage statistics are from Google and Semrush data referenced in March 2026 reporting. Features and availability change frequently._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Tufts University Study Shows Content Professionals Among Most at Risk from AI Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-14 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: 9.3 Million US Jobs at Risk From AI and Writers Top the List Meta Description: Tufts University ranked 784 US occupations by AI job loss risk. Writers face 57% displacement. Programmers 55%. The safest jobs are the lowest paid. Tags: AI, Tufts University, Writers, AI jobs Tag URLs: AI (https://www.writtenlyhub.com/news/tag/ai), Tufts University (https://www.writtenlyhub.com/news/tag/tufts-university), Writers (https://www.writtenlyhub.com/news/tag/writers), AI jobs (https://www.writtenlyhub.com/news/tag/ai-jobs) URL: https://www.writtenlyhub.com/news/ai-jobs-risk-tufts-index-writers-programmers **Key Takeaways:** - The American AI Jobs Risk Index from Tufts University projects 9.3 million US jobs at risk of AI displacement in 2-5 years - Writers and Authors face 57% displacement risk. Computer Programmers: 55%. Web and Digital Interface Designers: 55% - Historians top the entire list at 67% of tasks expected to be automatable - 33 "tipping point" occupations covering 4.9 million workers could swing from under 10% to over 40% displacement - The safest jobs are the lowest-paid ones: roofers, orderlies, and dishwashers face less than 1% displacement risk ![Bar chart showing AI job displacement risk by occupation with historians at 67 percent and writers at 57 percent from Tufts University 2026 study](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geminigeneratedimagefdwfk1fdwfk1fdwf-1776152596929-compressed.png) If you write content for a living, this study puts a number on the risk you probably already feel. Digital Planet at Tufts University's Fletcher School released the American AI Jobs Risk Index on March 24. It ranks 784 US occupations, 530 metro areas, 50 states, and 20 industry sectors by vulnerability to AI-driven job loss. The headline number: [9.3 million jobs are projected to be at risk](https://sites.tufts.edu/ibgc/fletchers-digital-planet-launches-american-ai-jobs-risk-index/) within the next 2-5 years. The range spans from 2.7 million to 19.5 million, depending on how fast AI adoption accelerates. ## The highest-risk jobs are knowledge work, not manual labor The occupations most vulnerable to AI displacement are not factory workers or truck drivers. They are the people who work with words, code, and analysis. The top occupations by displacement rate: - Historians: 67% - Writers and Authors: 57% - Computer Programmers: 55% - Web and Digital Interface Designers: 55% - Software Developers, Management Analysts, and Market Research Analysts: among the largest absolute projected losses The industries with the [highest average vulnerability](https://fletcher.tufts.edu/news-media-mentions/all-news/wired-belts-are-new-rust-belts) are Information (18%), Finance and Insurance (16%), and Professional, Scientific, and Technical Services (16%). That list includes the exact audience reading this article. Content marketers, SEO specialists, and digital strategists sit squarely in the zone of highest risk. ## The people building AI are also at risk from it One of the more striking findings: over one million workers whose jobs involve studying, building, or reporting on AI face [displacement rates between 26% and 55%](https://www.thebrighterside.news/post/first-ever-american-ai-jobs-risk-index-released-by-tufts-university/). The researchers noted this irony directly. The cities most invested in developing AI, Silicon Valley, Boston, Washington, and Seattle, also face the highest projected job losses from it. Tufts called these "Wired Belts," becoming the new "Rust Belts." Silicon Valley (San Jose metro) leads all regions with 9.9% of jobs at risk. New York City alone could lose more than 600,000 jobs and tens of billions in annual household income. ## The safe zone is the low-wage zone About 38% of American workers face less than 1% displacement risk. But these are the country's lowest-paid jobs. Roofers, orderlies, dishwashers, and workers in physical, spatially embedded, or unpredictable tasks are the most protected. Not because their work is hard. Because current AI systems handle variable physical conditions poorly. The researchers stated it plainly: "The occupations AI cannot touch are largely those the economy has always undervalued." ## What the study does not measure The index measures job displacement vulnerability, not actual layoffs. These are projections based on AI adoption scenarios, not employment data. The study also does not yet include job creation data. Future versions will attempt to estimate new roles created by AI alongside the roles displaced. That matters because previous waves of automation eliminated some jobs while creating others. For content professionals and marketers, the practical question is not whether AI will affect their work. It already has. The question is whether the value they add is something AI cannot replicate. Original reporting, firsthand expertise, editorial judgment, and client relationships are harder to automate than writing a 500-word blog post. The Tufts data suggests that professionals who build those skills will remain employable. Those who compete directly with AI on tasks AI does well will face the steepest displacement pressure. **Disclaimer:** _This article is AI-assisted content and may contain errors. All projections are from April, 2026. Verify with the original research._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Gemini Overtakes Perplexity in AI Referrals as Claude Surges Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-13 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Gemini Is Second in AI Referrals Meta Description: Statcounter March 2026 data shows Gemini at 8.65% of AI chatbot referrals, overtaking Perplexity at 7.07%. Claude doubled in one month. Tags: ChatGPT, Perplexity, Copilot, Gemini, Anthropic, Claude Tag URLs: ChatGPT (https://www.writtenlyhub.com/news/tag/chatgpt), Perplexity (https://www.writtenlyhub.com/news/tag/perplexity), Copilot (https://www.writtenlyhub.com/news/tag/copilot), Gemini (https://www.writtenlyhub.com/news/tag/gemini), Anthropic (https://www.writtenlyhub.com/news/tag/anthropic), Claude (https://www.writtenlyhub.com/news/tag/claude) URL: https://www.writtenlyhub.com/news/gemini-overtakes-perplexity-ai-referral-traffic **Key Takeaways:** - Statcounter March 2026 data shows Gemini at 8.65% of global AI chatbot referrals, up from 2.31% a year ago - Perplexity dropped to 7.07%, down more than 40% from its April 2025 peak of 12.07% - ChatGPT still dominates with 78.16% of all AI referral traffic - Anthropic's Claude jumped from 1.37% in February to 2.91% in March, nearly doubling in one month - SE Ranking separately found that Gemini referral traffic to websites grew 115% between November 2025 and January 2026 ![Bar chart showing AI chatbot referral share March 2026 with ChatGPT leading at 78 percent Gemini at 8.65 percent overtaking Perplexity at 7.07 percent](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/gemini-overtakes-perplexity-in-ai-referrals-1776093673579-compressed.png) A year ago, Perplexity was sending three times more referral traffic to websites than Gemini. That gap just flipped. Statcounter released March 2026 data in early April, showing Google's Gemini now accounts for [8.65% of global AI chatbot referrals](https://gs.statcounter.com/press/google-gemini-overtakes-perplexity-to-become-second-largest-source-of-ai-chatbot-referrals-to-websites). Perplexity fell to 7.07%. It is the first time Gemini has held the number two position. ChatGPT remains far ahead at 78.16%. But the movement behind it is where the story gets interesting for content marketers. ## Google's ecosystem advantage is showing up in the data Statcounter CEO Aodhan Cullen pointed to a straightforward reason for Gemini's rise. Google integrates Gemini across Search, Android, Workspace, and Chrome. That built-in distribution means users encounter Gemini without needing to visit a separate website or download a new app. SE Ranking's separate analysis of over 101,000 websites with Google Analytics confirmed the trend. Between November 2025 and January 2026, Gemini's [referral traffic to websites grew 115%.](https://www.searchenginejournal.com/google-gemini-sends-more-traffic-to-sites-than-perplexity-report/570714/) The acceleration started in December, right after Google rolled out Gemini 3 models across its products. Before December, Gemini's monthly growth was roughly 4%. After the Gemini 3 rollout, it jumped to 47% monthly growth. That is a 12x acceleration from the prior pace. In the US specifically, Gemini was sending 41% more referral traffic than Perplexity by January. ## Claude's growth is the most dramatic single-month move Anthropic's Claude jumped from 1.37% in February to 2.91% in March. That is more than double in a single month. Since April 2025, Claude's referral share has [grown nearly tenfold from just 0.30%](https://gs.statcounter.com/press/google-gemini-overtakes-perplexity-to-become-second-largest-source-of-ai-chatbot-referrals-to-websites). Weekly data from Statcounter shows Claude peaked at 3.6% in mid-March (week 12) before dropping to 2.49% in week 13. Cullen noted this spike may have been partly driven by the news cycle around users switching from ChatGPT during the Pentagon controversy and ad rollout backlash. Whether Claude sustains its gains depends on whether the switching behavior sticks or fades. ## Why this matters for content and SEO strategy The practical takeaway is that AI referral traffic is no longer a one-platform story. ChatGPT still sends roughly [80% of all AI-driven website visits](https://www.searchenginejournal.com/google-gemini-sends-more-traffic-to-sites-than-perplexity-report/570714/). But the gap is narrowing. A year ago, ChatGPT's lead over Gemini was 22x. By January, it was 8x. If Gemini continues integrating across Google products, that gap will keep closing. Other platforms in the March data included Microsoft Copilot at 3.19% and DeepSeek at 0.02%. All AI platforms combined still represent a small share of overall web traffic. SE Ranking puts the total at about 0.24% of global internet traffic, up from 0.15% in 2025. It is growing, but it is still tiny compared to traditional search. For content marketers, the action items are concrete: - Check your own Google Analytics referral data for Gemini, ChatGPT, Claude, and Perplexity traffic - Track which pages AI platforms are sending traffic to and what content earns citations - Stop optimizing for one AI platform only. The referral landscape is splitting across multiple players - Monitor conversion rates from AI referrals. Earlier data from Ahrefs found [ChatGPT referral visitors convert at 15.9%](https://almcorp.com/blog/chatgpt-vs-organic-search-conversion-rate/), well above traditional organic rates The AI referral market is moving fast. The brands and publishers paying attention to this data now will be better positioned as these numbers grow. **Disclaimer:** _This article is AI-assisted content and may contain errors. AI referral traffic volumes and percentages change frequently. Verify with your own analytics data._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google March 2026 Core Update Is Complete After 12 Days Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-04-10 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google March 2026 Core Update Is Done After 12 Days Meta Description: Google confirmed its March 2026 core update completed on April 8. 12-day rollout. First core update of 2026. What SEOs should check now. Tags: Google core updates, Google Discover update, Google Search Central, Google Search Tag URLs: Google core updates (https://www.writtenlyhub.com/news/tag/google-core-updates), Google Discover update (https://www.writtenlyhub.com/news/tag/google-discover-update), Google Search Central (https://www.writtenlyhub.com/news/tag/google-search-central), Google Search (https://www.writtenlyhub.com/news/tag/google-search) URL: https://www.writtenlyhub.com/news/google-march-2026-core-update-completed **Key Takeaways:** - Google confirmed the March 2026 core update finished rolling out on April 8 at 6:12 AM PDT - The rollout lasted 12 days, starting March 27. Faster than the December 2025 update, which took 18 days - Barry Schwartz called it "a weird one" that "didn't seem as powerful" as previous core updates - The March spam update completed just two days before the core update started, finishing in a record 19.5 hours - Google issued no new guidance. Standard advice remains: focus on helpful, people-first content ![Timeline showing three Google algorithm updates in early 2026 with the March core update completing April 8 after 12 days](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-march-2026-core-update-completed-1775833390902-compressed.png) Google's first core update of 2026 is officially done. The Search Status Dashboard confirmed the rollout ended on April 8 at 6:12 AM PDT. It started on March 27 at 2:00 AM PT. Total time: 12 days and 4 hours. That is within Google's two-week estimate and faster than the December 2025 core update, which needed 18 days. ## This update felt different from December 2025 Barry Schwartz at Search Engine Roundtable tracked the update throughout and described it as "a weird one." He noted that it "didn't seem as powerful" as the December 2025 core update, which landed fast and caused significant ranking movement. The March update was more gradual. SEO professionals monitoring thousands of domains reported minimal movement in the first two days. More noticeable ranking changes only started appearing around March 31, suggesting a staggered rollout. Some sites saw clear gains or losses. But the overall volatility was lower than what the industry typically sees from broad core updates. ## Three Google updates in six weeks created a messy data picture The March core update did not arrive in isolation. Google ran three algorithm updates in close sequence: - [February 2026 Discover update](https://www.writtenlyhub.com/news/google-discover-core-update-february-2026) (February 5 to February 27 - 22 days, Discover only) - [March 2026 spam update](https://www.writtenlyhub.com/news/google-march-2026-core-update-spam-update) (March 24 to March 25 - 19.5 hours, fastest ever) - March 2026 core update (March 27 to April 8 - 12 days) That overlap makes it harder to attribute ranking changes to a single update. A traffic drop on March 24 could be the spam update. A change starting March 27 is more likely the core update. Sites with heavy Discover traffic may still be feeling the effects from February. Search Engine Journal noted that the spam-then-core sequencing may not have been a coincidence. Clearing out spam first could have "prepared the ground" before recalibrating broader quality signals. ## What to do now that it is complete Google recommends waiting at least one full week after completion before analyzing Search Console data. That means mid-April is the earliest window for reliable before-and-after comparisons. Your baseline period should be the weeks before March 27. Compare that against performance from April 8 onward. Keep the spam update completion (March 25) in mind when reading the data between March 24 and 27. Google issued no new guidance with this update. The standing advice has not changed: ranking drops after a core update do not indicate a penalty. Core updates reassess how Google evaluates content quality across the web. Some pages gain, some lose, and many see no meaningful change. Google's documentation notes that smaller, unannounced core updates happen continuously between the larger confirmed rollouts. The March update may serve as a recalibration point that establishes rankings until the next expected core update, likely around June or July 2026. For sites that lost visibility, the most productive step is reviewing content against Google's E-E-A-T framework. Pages that add original research, data, or firsthand experience are consistently favored. Pages that restate what already ranks are increasingly vulnerable. **Disclaimer:** _This article is AI-assisted content and has data based as per April 2026 and may contain errors. Algorithm updates affect sites differently. Monitor your own Search Console data before making strategy changes._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google Is Rewriting Search Headlines With AI and Publishers Can’t Opt Out Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-09 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google Uses AI to Rewrite Search Headlines Meta Description: Google confirmed it is testing AI-generated headline rewrites in Search. The Verge caught altered titles that changed article meaning. No opt-out exists. Tags: AI-generated headline, 76% of title tags, Rewriting Search Headlines, Google Search Tag URLs: AI-generated headline (https://www.writtenlyhub.com/news/tag/ai-generated-headline), 76% of title tags (https://www.writtenlyhub.com/news/tag/76percent-of-title-tags), Rewriting Search Headlines (https://www.writtenlyhub.com/news/tag/rewriting-search-headlines), Google Search (https://www.writtenlyhub.com/news/tag/google-search) URL: https://www.writtenlyhub.com/news/google-ai-headline-rewrite-search-results-test **Key Takeaways:** - Google confirmed to The Verge that it is testing AI-generated headline rewrites in traditional Search results - The test is described as "small" and "narrow" but affects news sites and other types of websites - In one example, a headline was changed from a full critical sentence to a fragment that implied the opposite conclusion - Google already rewrites 76% of title tags using rule-based systems. This test uses generative AI to create entirely new phrasing - Google ran a similar test in Discover that became a permanent feature within a month. No opt-out mechanism exists ![Side-by-side comparison of original publisher headline versus Google AI-rewritten headline in search results showing altered meaning](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-testing-ai-headline-rewrites-2-1-1775744552688-compressed.png) The headline a publisher writes may no longer be the headline that appears in Google Search. Google confirmed it is [testing a system that uses AI](https://www.theverge.com/tech/896490/google-replace-news-headlines-in-search-canary-coal-mine-experiment) to generate entirely new titles for search results. The Verge broke the story after multiple staff members noticed their headlines appearing in Google in forms they never wrote. These were not truncations or minor edits. They were complete rewrites with different phrasing, different tone, and in some cases, different meaning. Google confirmed the test to The Verge through three company spokespeople. The company described it as a "small and narrow" experiment aimed at "better matching titles to users' queries and facilitating engagement with web content." ## This is different from what Google already does with titles Google has rewritten title tags for years. An analysis of over 80,000 title tags found [Google changed 61% of them](https://searchengineland.com/google-changed-76-of-title-tags-in-q1-2025-heres-what-that-means-454847). A follow-up study put that number at 76% in Q1 2025. Those existing rewrites pull from elements already on the page: the title tag, the H1 heading, og:title meta tags, and anchor text from other sites. The system selects from text that already exists. The new test is different. Google's AI is generating phrasing that does not exist anywhere in the article. That is generative creation, not selection. One documented example: The Verge's headline "I used the 'cheat on everything' AI tool and it didn't help me cheat on anything" appeared in Google as "'Cheat on everything' AI tool." The original headline's entire conclusion, that the tool did not work, was stripped. The rewritten version implied the opposite. Another rewrite changed a Microsoft Copilot headline to " [Copilot Changes: Marketing Teams at it Again](https://tech.yahoo.com/ai/gemini/articles/google-search-engine-now-rewriting-165622219.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAF2fNOMysuETP9AeHi3j8Q-Pxc89hpC4FlBQG-35HMKpafTu0tgNX-IjccysVYG02vz3iJhBizWxE59njRBEtOvXz2QbC2e8GxRSqLZURyUpO3IyShRS4T2MdvFpJZX3wAtMNYYLeFXb91Naqtqmnm6uFbz7QlOLcfS5lxwPfCfw)," phrasing the article never used. ## The Discover precedent matters Google tested AI headline rewrites in Discover in late 2025. The company called it a small experiment. Within a month, it became a permanent feature. Google cited "strong user satisfaction" as justification. Search Engine Journal noted the pattern: "the same language Google used before reclassifying AI headlines in Discover as a feature" is now appearing for the Search test. An analysis of over 400 publishers found Discover's share of [Google-sourced traffic had climbed from 37% to roughly 68%](https://www.searchenginejournal.com/googles-discover-core-update-finishes-rolling-out/568413/). If AI headline rewrites become permanent in both Discover and Search, publishers would lose control over how their content is presented across both primary Google traffic sources. ## Publishers and SEO professionals are responding Sean Hollister, senior editor at The Verge, compared the practice to "a bookstore ripping the covers off the books it puts on display and changing their titles." > Louisa Frahm, SEO director at ESPN, wrote on LinkedIn that if headlines get misrepresented, "long-term audience trust will be compromised." The concern is not theoretical. Title tags are one of the few remaining tools publishers control in search results. With AI Overviews answering queries without requiring clicks and referral traffic declining across the board, the headline on a blue link is often the last chance to attract a reader. Replacing it with AI-generated text removes that control entirely. Google offers no opt-out mechanism. The company said any broader launch "may not use generative AI" but did not explain what the alternative would look like. ## What to do now The test is live and affects real search results. Some practical steps: - Match title tags to H1 headings as closely as possible. When these two elements say substantially the same thing, Google has less reason to generate its own version. - Use dashes as separators instead of pipes. Data shows [Google replaces dash-separated titles 19.7% of the time](https://almcorp.com/blog/google-is-testing-ai-generated-headline-rewrites-in-search-results-what-publishers-and-seos-need-to-know-now/) versus 41% for pipe-separated ones. - Avoid breaking titles into distinct sections with multiple separators. Each break gives Google a natural point to truncate or rewrite. - Monitor search appearance in Google Search Console. If titles showing in results do not match what was published, document the discrepancies. Google has asked for feedback during this test phase. The broader pattern is consistent. Google is taking more control over how content is presented inside its ecosystem. AI Overviews summarize content. AI Mode synthesizes answers. And now, AI may rewrite the headline on the last remaining blue link. The space publishers control in Google is shrinking. **Disclaimer:** _This article is AI-assisted content and may contain errors. Details are sourced from The Verge, Search Engine Journal, Search Engine Land, and 9to5Google reporting between March 20-28, 2026. Google described the test as a limited experiment that has not been approved for broader rollout. Features and testing scope may change._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Why Wikipedia Can Reject AI and Still Stay Essential Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-08 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Wikipedia Bans AI Content and Why It Matters Now Meta Description: Wikipedia banned AI-generated content in a 44–2 vote. This allows two exceptions and exposes a growing AI-Wikipedia dependency issue. Tags: AI Overviews, Wikipedia, AI Agents, TomWikiAssist, ChaGPT Tag URLs: AI Overviews (https://www.writtenlyhub.com/news/tag/ai-overviews), Wikipedia (https://www.writtenlyhub.com/news/tag/wikipedia), AI Agents (https://www.writtenlyhub.com/news/tag/ai-agents), TomWikiAssist (https://www.writtenlyhub.com/news/tag/tomwikiassist), ChaGPT (https://www.writtenlyhub.com/news/tag/chagpt) URL: https://www.writtenlyhub.com/news/wikipedia-bans-ai-generated-content-llm **Key Takeaways:** - English Wikipedia editors voted 44-2 on March 20 to prohibit using LLMs to generate or rewrite article content - Two narrow exceptions: editors can use LLMs for basic copyediting of their own text (with human review) and for first-pass translations - The policy passed after months of debate and multiple failed earlier attempts to establish AI guidelines - A suspected AI agent named TomWikiAssist was caught authoring and editing multiple articles in early March, illustrating the scale of the problem - Wikipedia is among the most cited sources in AI Overviews, ChatGPT, and Perplexity. AI-generated errors on Wikipedia could enter training data and compound ![Wikipedia logo with AI content ban symbol alongside diagram showing the AI training feedback loop that the new policy aims to prevent](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/wikipedia-bans-ai-generated-content-1-1775626525565-original.png) Wikipedia is one of the most visited websites in the world. It is also one of the most cited sources in AI-generated search answers. And as of March 20, its editors have voted overwhelmingly to [ban AI-written content](https://slate.com/technology/2026/04/wikipedia-ai-chatbot-ban.html) from its articles. The Request for Comment (RfC) passed with 44 votes in favor and 2 opposed. The new policy states: "Text generated by large language models (LLMs) often violates several of Wikipedia's core content policies. For this reason, the use of LLMs to generate or rewrite article content is prohibited." TechCrunch, 404 Media, Engadget, and SiliconANGLE all covered the decision, which was reported widely on March 26. ## Why Wikipedia's editors took this step The problem was both philosophical and practical. Wikipedia's core content policies require verifiability. Every claim must be attributable to a reliable published source. LLMs generate text without explicitly citing sources and tend to produce plausible-sounding information that may not be accurate. That conflicts directly with Wikipedia's requirement that content be checkable. Wikipedia also prohibits original research. Articles must reflect existing published knowledge, not new synthesis. LLMs generate synthesis by design. They blend information from training data in ways that may not be supported by any single cited source. The practical trigger was escalating enforcement burden. > Wikipedia administrator Chaotic Enby, who authored the final proposal, noted that "in recent months, more and more administrative reports centered on LLM-related issues, and editors were being overwhelmed." In early March, a suspected AI agent named TomWikiAssist was caught authoring and editing multiple Wikipedia articles autonomously. > As one editor noted, "An AI agent can just run wild 24 hours per day. It can cause disruption at a scale that is much larger than what a human editor can achieve." ## The two exceptions are narrow Editors can use LLMs to suggest basic copyediting improvements to their own writing. They must review the output themselves and ensure the AI does not introduce new content. > The policy warns that "LLMs can go beyond what you ask of them and change the meaning of the text such that it is not supported by the sources cited." Editors can also use LLMs for first-pass translations between Wikipedia language editions. They must be fluent enough in both languages to catch errors and verify accuracy against cited sources. Both exceptions require human review. Neither allows LLM-generated text to enter articles without an editor verifying every change. ## The AI loop problem this addresses Wikipedia is a primary training data source for most large language models. It is also among the most frequently cited domains in Google AI Overviews, ChatGPT, and Perplexity answers. If AI-generated text enters Wikipedia unchecked, it gets scrapped by AI companies, enters future training data, and reinforces errors in the next generation of AI models. This is a known feedback loop. Inaccurate or hallucinated content on Wikipedia would not just misinform human readers. It would compound through the AI systems that depend on Wikipedia as a trusted source. The ban is Wikipedia's attempt to protect its role as a foundation of reliable information. That role matters more now than it did before AI search because AI systems actively use Wikipedia to verify claims and build citations. ## The enforcement challenge is real Wikipedia acknowledges that [AI detection tools are unreliable](https://www.searchenginejournal.com/wikipedia-bans-use-of-ai-generated-content/570651/). The policy specifies that stylistic or linguistic characteristics alone do not justify sanctions. Some editors write in ways that resemble LLM output naturally. Enforcement relies on human moderators reviewing edits against content policies and checking an editor's recent history. Pages with less active moderation communities may be more vulnerable to AI-generated text going undetected. The policy covers only English Wikipedia. Each language edition operates independently. Spanish Wikipedia has its own LLM ban but without the copyediting and translation exceptions. ## Why content marketers should pay attention Wikipedia's decision reinforces a principle that is becoming more important across the entire content ecosystem: original, human-verified content carries authority that AI-generated text does not. For marketers building content strategies around AI visibility, the same logic that drove Wikipedia's ban applies to citation authority everywhere. AI systems cite sources they trust. Trust is built through verifiability, named expertise, and editorial accountability. Content that demonstrates those qualities will earn citations. Content that reads like it was generated by an LLM, whether on Wikipedia or anywhere else, increasingly will not. **Disclaimer:** _This article is AI-assisted content and may contain errors. The Wikipedia policy details are sourced from the English Wikipedia RfC closed March 20, 2026, and reported by TechCrunch, 404 Media, Engadget, SiliconANGLE, and Search Engine Journal between March 23-27, 2026. Wikipedia policies vary by language edition. Verify with original sources._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google Search Live Goes Global but What Does It Mean for You? Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-04-02 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google Search Live Just Went Global. Voice Search Hits 200+ Countries (59 chars) Meta Description: Google expanded Search Live to 200+ countries. Voice and camera search powered by Gemini 3.1 Flash Live. AI Mode queries are 3x longer than typed ones Tags: Google AI Mode, Google Search, Search Live, Gemini 3.1 Flash Live Tag URLs: Google AI Mode (https://www.writtenlyhub.com/news/tag/google-ai-mode), Google Search (https://www.writtenlyhub.com/news/tag/google-search), Search Live (https://www.writtenlyhub.com/news/tag/search-live), Gemini 3.1 Flash Live (https://www.writtenlyhub.com/news/tag/gemini-31-flash-live) URL: https://www.writtenlyhub.com/news/google-search-live-global-voice-camera-ai-mode **Key Takeaways:** - Google expanded Search Live globally on March 26, covering all countries and territories where AI Mode is available - The feature is powered by Gemini 3.1 Flash Live, a new audio and voice model with native multilingual support - Users can point their phone camera at objects and have real-time voice conversations with Google Search - AI Mode queries are now 3x longer than traditional typed searches, per a Google guide distributed to marketers in March - Search Live was previously available only in the US and India. It now covers 200+ locations ![Google Search Live interface showing voice and camera search conversation on mobile phone now available in 200 plus countries March 2026](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-search-live-goes-global-1-1775116725482-original.png) Search is no longer just about typing. As of March 26, Google Search Live is available everywhere AI Mode operates. Google announced the [global expansion through a blog post](https://www.forbes.com/sites/joetoscano1/2026/03/29/google-search-live-goes-global-giving-users-real-time-search-with-voice-and-video/) by Liza Ma, Director of Product Management for Search. The feature, first launched in July 2025 for US users, now reaches over 200 countries and territories. Search Live allows users to open the Google app on Android or iOS, tap the Live icon below the search bar, and start a voice conversation with Google. Point the phone camera at something and ask questions about it. The AI responds with audio and keeps the conversation going through follow-ups. Web links surface when the user wants to go deeper. ## Gemini 3.1 Flash Live powers the expansion The global rollout runs on Gemini 3.1 Flash Live, Google's latest audio and voice model. Google says it delivers more natural conversations than previous versions and handles multiple languages natively. Users do not need to switch settings to search in their preferred language. TechCrunch confirmed the [expansion covers all languages and locations](https://techcrunch.com/2026/03/26/google-is-launching-search-live-globally/) where AI Mode is currently available. In Canada, VP and Country Managing Director Sabrina Geremia confirmed availability in both English and French. Nick Fox, SVP of Knowledge and Information at Google, commented that he was "super excited" about the Canadian launch. ## AI Mode queries are fundamentally different from typed searches A Google guide distributed to marketers in March 2026 described AI Mode queries as 3 [x longer than traditional searches](https://www.yotpo.com/blog/google-ai-mode-vs-traditional-search/). A meaningful share of those queries generate follow-up questions within the same session. The guide framed this as a structural difference, not just faster searching. Users are having conversations rather than typing keywords. They combine text, voice, camera, and gestures in ways that traditional search was never designed to handle. Semrush data from September 2025 found that [92-94% of AI Mode searches end without a click](https://www.semrush.com/blog/is-zero-click-search-traffic-increasing/). Users spend 49 seconds per session on average, more than double the 21 seconds for AI Overviews. Median time for comparing brands or products in AI Mode was 77 seconds. That behavior profile matters. Users are spending more time inside AI Mode and clicking out less. The feature satisfies intent directly through conversation rather than routing users to external websites. ## What this means for marketers and publishers Search Live introduces voice-delivered AI answers as a real channel at global scale. That raises questions the industry has not fully answered. When Google speaks an answer, the format changes what gets surfaced. A spoken response synthesizes information from multiple sources into a single audio output. The user may never see the underlying citations. Web links appear when the user wants to explore further, but there is no guarantee they will. For publishers, this continues the trend of information being consumed inside Google's interface rather than on the publisher's site. For local businesses, voice search combined with location data could drive discovery in new ways, especially in markets where typing is less natural than speaking. For content strategy, the 3x query length finding is actionable. Longer, conversational queries mean content needs to match natural language patterns. Question-and-answer formats, clear topical structure, and conversational headings become more important when the search input is a spoken sentence rather than a two-word keyword. Google reported a [65% year-over-year increase in visual searches](https://ppc.land/google-reports-65-surge-in-visual-searches-as-ai-mode-drives-multimodal-adoption/) as of July 2025. Robby Stein, who leads Google's AI Search team, attributed much of that growth to younger users who move naturally between different input methods. Search Live formalizes that behavior at global scale. The feature is live now. The implications for click-through rates, publisher traffic, and advertising visibility in voice-delivered responses are still forming. What is clear is that search just became something fundamentally different from what most marketing strategies were built to optimize for. **Disclaimer:** _This article is AI-assisted content and may contain errors. Dates and feature details are sourced from Google's official blog, TechCrunch, and Search Engine Land as of March 29, 2026. Google features and availability change frequently. Verify with official sources._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Meta Is Paying TikTok and YouTube Creators Up to $3,000/Month to Post on Facebook Author: WrittenlyHub Team Author URL: https://www.writtenlyhub.com/news/author/writtenlyhub-team Published: 2026-04-02 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Meta Creator Fast Track: Get Paid $3,000 to Post on Facebook Meta Description: Earn $3,000/month with Meta Creator Fast Track. Discover how you can use this to boost reach, increase your earnings, and track new ROI metrics. Tags: tiktok, Meta Is Paying TikTok, Meta Creator Fast Track, Meta Platforms Tag URLs: tiktok (https://www.writtenlyhub.com/news/tag/tiktok), Meta Is Paying TikTok (https://www.writtenlyhub.com/news/tag/meta-is-paying-tiktok), Meta Creator Fast Track (https://www.writtenlyhub.com/news/tag/meta-creator-fast-track), Meta Platforms (https://www.writtenlyhub.com/news/tag/meta-platforms) URL: https://www.writtenlyhub.com/news/meta-creator-fast-track **Key takeaways:** - Meta launched the " Meta Creator Fast Track" on March 18, 2026, to lure talent back from TikTok and YouTube - The program offers guaranteed monthly stipends up to $3,000 for three months. - It targets creators who have not posted a Facebook Reel in at least six months. - Payouts are tied to a Quality Index instead of simple ad impressions. - Despite $3 billion in 2025 payouts, creators remain wary of Meta’s history of ending programs. ![Meta Creator Fast Track: Get Paid $3,000 to Post on Facebook](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/meta-is-paying-tiktok-and-youtube-creators-1775094521568-original.png) On March 18, 2026, Meta Platforms made its biggest move yet to reclaim the creator economy. The company launched the [Meta Creator Fast Track program](https://about.fb.com/news/2026/03/creator-fast-track-grow-your-audience-earn-money-on-facebook/), a high-stakes plan to pay creators to rediscover Facebook. Meta is targeting established creators in the U.S. and Canada who have large followings on other apps but have let their Facebook presence go quiet. If you haven't posted a Reel on Facebook in six months, Meta will pay for your return. ## Pay tiers breakdown: How much meta pays based on your follower count Meta is moving away from elite, invite-only clubs. This program includes a broader range of creators. The money is [guaranteed for a three-month transition](https://about.fb.com/news/2026/03/creator-fast-track-grow-your-audience-earn-money-on-facebook/) to lower the risk of starting on a new algorithm. **Creator tier** **Follower benchmark** **Monthly payment** **Duration** **Mega creator** 1,000,000+ $3,000 3 Months **Large creator** 100,000 - 999,999 $1,000 3 Months **Mid-tier creator** 20,000 - 99,999 $100 - $450 3 Months The cash comes with strict rules though. To get paid, you must publish [at least 15 Reels every 30 days](https://www.socialmediatoday.com/news/facebook-looks-to-lure-high-profile-creators-with-new-program/815149/). These must span at least 10 different days to prevent content dumping. You can cross-post from TikTok, but the work must be your own. Meta’s AI now uses vision technology to instantly disqualify unoriginal videos. ## How Meta’s $3 billion creator push is reshaping monetization This is part of a structural shift called the Content Monetization Program (CMP). In 2025, Meta paid creators $3 billion, a [35% increase from the year before](https://investor.atmeta.com/investor-news/press-release-details/2026/Meta-Reports-Fourth-Quarter-and-Full-Year-2025-Results/default.aspx). Reels earned 60% of that total. The CMP replaces the old, messy system with one application and one dashboard. Meta also changed how it calculates your check. Meta has also changed how it calculates your check. It no longer matters if an ad was shown on your specific video. Instead, Meta Creator Fast Track uses a Performance-Based Payout. They track Qualified Views, filtering out bots and accidental scrolls, and reward depth. If people return to the app specifically to see you, you earn more. ## Why creators are skeptical Despite the records, a trust deficit remains. Many remember the Sunset pattern where Meta ends programs (like the [original $1 billion Reels bonus](https://about.fb.com/news/2021/07/investing-1-billion-dollars-in-creators/)) once they get what they need. In early 2026, some earnings dropped 90% overnight due to [AI Quality Resets](https://medium.com/@kernelolivascorpuz/facebook-monetization-playbook-2026-7153adec57bd). There is also the organic gap: Facebook’s engagement rate is 0.15% while [TikTok’s is near 5%](https://growth-onomics.com/2026-social-media-benchmarks-by-industry/). ## Why content marketers should care This program is a unique arbitrage opportunity. It is essentially a subsidized way to test content on a massive, high-spending audience (the 30-to-50-year-old demographic). - **Low-risk testing:** Since Meta does not require exclusivity, you can test TikTok content on Facebook for free. - **Follow the reach:** The reach boost in this program helps brands bypass the flat organic reach that has hit Facebook for years. - **New metrics:** The Professional Dashboard now shows Qualified Views. Marketers can see exactly why content fails in real-time. Meta is spending its $81 billion cash reserve to turn Facebook into an AI-driven entertainment engine. For creators and marketers, the "Gold Rush" is back, but history suggests you should have an exit strategy ready. **Disclaimer:** _This article is AI-assisted content and may contain errors. Revenue projections and advertiser counts are based on OpenAI spokesperson statements reported by Reuters on March 27, 2026. Platform features, pricing, and availability change frequently. Verify with official sources before making business decisions._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## What Happened When Google Launched Two Big Updates in One Week Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-04-01 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google's March 2026 Core Update Just Dropped Meta Description: Google launched its first core update of 2026 on March 27. It follows a spam update that finished in under 20 hours. Two updates in one week. Tags: Google Launched, March 2026 spam update, Status Dashboard, Google Search Central Tag URLs: Google Launched (https://www.writtenlyhub.com/news/tag/google-launched), March 2026 spam update (https://www.writtenlyhub.com/news/tag/march-2026-spam-update), Status Dashboard (https://www.writtenlyhub.com/news/tag/status-dashboard), Google Search Central (https://www.writtenlyhub.com/news/tag/google-search-central) URL: https://www.writtenlyhub.com/news/google-march-2026-core-update-spam-update **Key Takeaways:** - Google released the March 2026 core update on March 27 at 2:00 AM PT. It may take up to two weeks to complete - This is the first broad core update of 2026. The last one was the December 2025 core update, which ended on December 29 - The March 2026 spam update launched March 24 and completed March 25 in under 20 hours, the fastest spam update in Google's dashboard history - Google described the core update as "a regular update designed to better surface relevant, satisfying content for searchers from all types of sites." - No new spam policies were introduced. The spam update refined the enforcement of existing rules through SpamBrain ![Timeline showing Google March 2026 spam update completing in 19.5 hours followed by core update launch on March 27 with two-week rollout](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-march-2026-core-update-1775094087963-original.png) Two Google algorithm updates in one week. That has not happened this fast in recent memory. On March 24, Google released the March 2026 spam update. It completed by March 25 at 7:30 AM PT, roughly 19.5 hours after launch. That made it the shortest confirmed spam update in the history of Google's Search Status Dashboard. Three days later, on March 27 at 2:00 AM PT, Google released the March 2026 core update. The Search Status Dashboard confirmed the rollout and estimated completion in up to two weeks. Google Search Central posted on X: "Today we released the March 2026 core update. We'll update our ranking release history page when the rollout is complete." ## The spam update was over before most people noticed The March 2026 spam update launched at 12:00 PM PT on March 24 and completed at 7:30 AM PT on March 25. Google confirmed this on the Search Status Dashboard. For comparison: the August 2025 spam update took 27 days. The December 2024 spam update took 7 days. The March 2024 spam update took 15 days. March 2026 finished in under 20 hours. Google described it as "a normal spam update" applying globally across all languages. No new spam categories were introduced. This was not a March 2024-style event that added new policy categories like scaled content abuse or site reputation abuse. It was a refinement of existing enforcement through SpamBrain, [Google's AI](https://www.writtenlyhub.com/news/google-personal-intelligence-ai-mode-free)-based spam detection system. The speed suggests pre-identified targets rather than broad recalibration. Ranking changes from this update have already taken effect. Search Console data from March 24-25 is the window to check. ## The core update is the bigger story The March 2026 core update is the first broad core update of 2026. The February 2026 [Discover core update](https://www.writtenlyhub.com/news/google-discover-core-update-february-2026) only affected Discover, not Search rankings. The most recent broad core update before this was December 2025, which ran from December 11-29. Google did not publish a companion blog post or announce specific goals. The Search Status Dashboard entry and a LinkedIn post describing it as "a regular update" are the only official communications. Core updates involve broad changes to ranking systems. They are not targeted at specific content types or violations. Google's documentation describes them as designed to ensure "helpful and reliable results." John Mueller responded to community questions on Bluesky, noting: "One is about spam, one is not about spam. If with some experience, you're not sure whether your site is spam or not, it's unfortunately probably spam." ## What to do right now The standard guidance applies, but the timing of two updates in one week means careful monitoring matters more than usual. For the spam update: check Search Console data specifically for March 24-25. If traffic dropped during that window and recovered by March 26, the spam update was the cause. If the drop persists, it may overlap with the core update rollout. For the core update: do not make sweeping changes while the rollout is in progress. Compare performance against a baseline period before March 27. Google recommends waiting at least a full week after the update completes before drawing conclusions. A drop in rankings after a core update does not indicate a spam policy violation. Core updates reassess content quality and relevance across the board. Some sites gain, some lose, many see no change. The core update affects Search results, Google Discover, and featured snippets. [Ranking changes](https://www.writtenlyhub.com/news/google-search-ranking-volatility-march-2026) could continue appearing through early April as the two-week rollout progresses. For anyone who saw unexplained ranking volatility in January and February, this update may provide some stabilization. Google acknowledged in late 2025 that smaller, unannounced core updates happen continuously between the larger ones. The official March update could serve as a recalibration point. **Disclaimer:** _This article is AI-assisted content and may contain errors. Dates and rollout details are sourced from the Google Search Status Dashboard, Search Engine Land, Search Engine Journal, and Search Engine Roundtable as of March 29, 2026. Algorithm updates produce different effects across sites and industries. Monitor your own data before making strategy changes._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## OpenAI Called Ads a Last Resort Now ChatGPT Is Making $100M in Six Weeks Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-31 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: ChatGPT Ads Hit $100M With Self-Serve Coming Soon Meta Description: OpenAI's ChatGPT ad pilot crossed $100M annualized revenue in six weeks. 600+ advertisers. Self-serve tools in April. Global expansion next. Tags: OpenAI, ChatGPT Is Making $100M, 85% of free, OpenAI hired David Dugan Tag URLs: OpenAI (https://www.writtenlyhub.com/news/tag/openai), ChatGPT Is Making $100M (https://www.writtenlyhub.com/news/tag/chatgpt-is-making-dollar100m), 85% of free (https://www.writtenlyhub.com/news/tag/85percent-of-free), OpenAI hired David Dugan (https://www.writtenlyhub.com/news/tag/openai-hired-david-dugan) URL: https://www.writtenlyhub.com/news/chatgpt-ads-100-million-revenue-self-serve **Key Takeaways:** - OpenAI confirmed on March 27 that its ChatGPT ad pilot reached $100 million in annualized revenue within six weeks of launch - Over 600 advertisers are now running campaigns inside ChatGPT. Nearly 80% of SMBs involved have signaled interest in continuing - 85% of free and Go tier users are eligible to see ads, but fewer than 20% are shown ads on any given day - Self-serve advertising tools launch in April 2026. Global expansion starts with Canada, Australia, and New Zealand - OpenAI hired David Dugan, a former Meta ads executive, to lead its global advertising solutions team this week ![Timeline showing ChatGPT ad revenue reaching 100 million annualized in six weeks with self-serve tools launching April 2026](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/chatgpt-ads-hit-dollar100m-in-6-weeks-1774938219353-original.jpg) In 2024, Sam Altman said advertising was "a last resort" for OpenAI. On March 27, 2026, the company confirmed its ad pilot crossed $100 million in annualized revenue in just six weeks. That is a fast reversal. And the numbers suggest it is only the beginning. OpenAI launched ads inside ChatGPT on February 9, 2026, for US users on the Free and Go subscription tiers. Ads appear at the bottom of ChatGPT responses, clearly labeled as sponsored. They are matched to the conversation topic. Plus, Pro, Business, and Enterprise subscribers do not see ads. Reuters reported the $100 million milestone on March 27. An OpenAI spokesperson confirmed the figure and said the company is seeing "no impact on consumer trust metrics, low dismissal rates of ads, and ongoing improvements in the relevance of ads." ## The scale is still early and the headroom is massive The numbers behind the pilot reveal how much room there is to grow. [About 85% of eligible users](https://www.reuters.com/business/media-telecom/openais-us-ad-pilot-exceeds-100-million-annualized-revenue-six-weeks-2026-03-26/) can see ads. But on any given day, fewer than 20% actually do. That means OpenAI is generating $100 million in annualized revenue while showing ads to a fraction of its user base. [Over 600 advertisers](https://www.campaignlive.com/article/openais-chatgpt-ads-trial-surpasses-100m-six-weeks/1953267) are in the program. Nearly 80% of small and medium-sized businesses involved have expressed interest in continuing. Early ad categories include retail and grocery, with Best Buy, AT&T, and Expedia among the first brands to appear. Analysts project under $1 billion in ChatGPT ad revenue for 2026. Longer-term estimates from industry commentators suggest $30 billion or more by 2030. For context, Google's entire advertising business was about $43 billion in 2012, fourteen years after launching AdWords. ## Self-serve tools in April change the access equation Until now, advertisers needed to work directly with OpenAI to run ChatGPT campaigns. That changes next month. Self-serve advertising tools launch in April, allowing businesses to set up and manage campaigns independently. This is the move that turns ChatGPT from an exclusive pilot into a real advertising channel. Self-serve access is what allowed Google Ads and Meta Ads to scale from enterprise-only programs into platforms that millions of small businesses use daily. OpenAI also hired David Dugan this week to lead the global advertising solutions team. Dugan is a former Meta Ads executive. The hire signals how seriously OpenAI is building this operation. ## Global expansion starts soon The pilot is expanding beyond the US in the coming weeks. Canada, Australia, and New Zealand are confirmed as the next markets. OpenAI has not announced broader international timelines, but the direction is clear. For marketers outside the US, the window to prepare is now. Understanding how conversational ad placements work, what targeting options exist, and how the user experience differs from search or social ads will matter once the platform opens in new markets. ## The tension that does not go away Anthropic ran a Super Bowl ad campaign with the tagline "Ads are coming to AI. But not to Claude." OpenAI CEO Sam Altman called those ads "dishonest." But the competitive positioning is real: Anthropic is framing itself as the ad-free alternative. ChatGPT uninstalls surged 295% during the Pentagon deal controversy in late February, while Claude hit #1 on the App Store. Whether ad fatigue compounds that sentiment or whether users accept ads as the price of a free product will determine the long-term health of this revenue stream. For content marketers, the takeaway is practical. ChatGPT is becoming an ad platform. Self-serve access in April makes it accessible to any business with a budget. The brands that learn how conversational advertising works now will have an advantage when the platform reaches full scale. **Disclaimer:** _This article is AI-assisted content and may contain errors. Revenue projections and advertiser counts are based on OpenAI spokesperson statements reported by Reuters on March 27, 2026. Platform features, pricing, and availability change frequently. Verify with official sources before making business decisions._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## 4 Million AI Citations Analyzed And Editorial Content Wins Every Time Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-24 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Press Releases Get 0.04% of AI Citations, See Why Meta Description: BuzzStream’s 4M citation study shows press releases earn just 0.04% via syndication, while editorial content dominates with 81%, learn what AI prefers. Tags: 4 Million AI Citations, Editorial Content Dominates, BuzzStream, AI Citations Tag URLs: 4 Million AI Citations (https://www.writtenlyhub.com/news/tag/4-million-ai-citations), Editorial Content Dominates (https://www.writtenlyhub.com/news/tag/editorial-content-dominates), BuzzStream (https://www.writtenlyhub.com/news/tag/buzzstream), AI Citations (https://www.writtenlyhub.com/news/tag/ai-citations) URL: https://www.writtenlyhub.com/news/press-releases-ai-citations-buzzstream-study ## Key Takeaways: - BuzzStream analyzed 4 million AI citations across ChatGPT, Google AI Mode, AI Overviews, and Gemini - Press releases distributed through syndication channels (Yahoo, MSN) accounted for 0.04% of all citations - Direct citations from wire services like PRNewswire made up 0.21% of the total dataset - Original editorial content made up 81% of all news citations - Syndicated news content overall (articles republished through MSN and Yahoo) accounted for just 0.9% of the total ![Bar chart showing original editorial content at 81 percent of AI news citations compared to press releases at 0.04 percent from BuzzStream 4 million citation study](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/ai-news-citation-1774318342484-original.png) Press release distribution services have been selling AI visibility hard in 2026. [ACCESS Newswire offers](https://share.google/Z80ON1kYTb0hIAQD1) an "AI Visibility Checklist." eReleases published a guide on positioning press releases for AI search. Business Wire has written about optimizing for answer engine discovery. BuzzStream's data tells a different story. A much simpler one. The company partnered with Citation Labs and used the XOFU citation monitoring tool to track where ChatGPT, Google AI Mode, AI Overviews, and Gemini pull their sources. The dataset: 4 million citations. The findings published on March 16, 2026, are hard to argue with. ## The numbers are stark News publications as a category accounted for 14% of all citations in the dataset. Within that news category, the breakdown is where things get interesting. Original editorial content, meaning independently produced journalism and analysis from outlets like Reuters, CNBC, The Wall Street Journal, and CNET, made up 81% of all news citations. That is the dominant source type by a wide margin. Syndicated news content, including articles republished through MSN and Yahoo networks, accounted for 6.2% of news citations and 0.9% of the total dataset. Press releases specifically, the ones distributed through syndication channels and showing up on Yahoo Finance or MSN, earned 0.32% of news citations. Of the entire 4 million citation dataset, that works out to 0.04%. Direct citations from newswire services like PRNewswire did slightly better at 0.21% of the total. Their strongest showing was in exploratory and informational prompts, where they reached 0.37%. Still a tiny number. ## Why syndicated content fails in AI citation AI systems are built to find the most authoritative, original source for a given claim. A press release that gets republished across 50 syndication partners creates 50 copies of the same content. AI systems do not treat those copies as 50 separate endorsements. They treat them as one source with many mirrors. [Google's VP of Product for Search, Robby Stein, said in a recent interview](https://share.google/PIOv4YK6v6RaInMa0) that being mentioned by other sites could help with AI recommendations. He compared AI's behavior to how a human might research a question. That comparison favors earned editorial coverage, where an independent journalist writes about a company, over distributed content, where the company writes about itself and pays for placement. The distinction matters. AI citation systems appear to value third-party editorial judgment over self-published promotion, even when the self-published content sits on high-authority domains like Yahoo Finance. ## What this means for PR and content teams The finding does not mean press releases are useless. They still serve a function in media relations, investor communications, and official record-keeping. But the idea that distributing a press release through a wire service will earn meaningful AI visibility is not supported by the data. For PR teams and content marketers advising clients on AI visibility, the practical direction is clear: Earned editorial coverage works. Getting a journalist at a respected publication to write about a company, product, or finding carries citation weight that syndicated press releases do not. The 81% figure for original editorial content is the number to anchor strategy around. Owned newsrooms and company blogs matter more than wire distribution. If a company publishes original research, data, or expert analysis on its own domain, that content has a better chance of earning citations than a press release republished on aggregator sites. Press releases can support AI visibility indirectly. A well-written release can prompt a journalist to write an original story. That original story is what AI systems will cite. The release itself is the catalyst, not the citation target. [BuzzStream sells](https://share.google/QH85b0OeAw3E6Yl4d) outreach and digital PR tools, so the finding that earned media outperforms distribution aligns with its business model. That context is worth noting. But the 4 million citation dataset is large enough and the gap between editorial content (81%) and press releases (0.04%) is wide enough that the directional finding holds regardless of who published it. For anyone still paying for premium wire distribution and expecting AI search visibility in return, this data suggests a different investment might produce better results. **Disclaimer:** _This article is AI-assisted content and may contain errors. The data referenced is from BuzzStream's report published in partnership with Citation Labs on March 16, 2026. AI citation behavior varies by platform and changes over time. Always verify with original sources._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google AI Mode Can Now Read Your Gmail, Photos, and Search History. It Just Went Free for Everyone Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-23 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google AI Mode Reads Gmail- Now Free in the US (49 chars) Meta Description: Personal Intelligence is now free in the US. AI Mode uses Gmail, Photos, and Search history to deliver smarter results, here’s what to know. Tags: Google AI Mode, Google expanded, Gemini Tag URLs: Google AI Mode (https://www.writtenlyhub.com/news/tag/google-ai-mode), Google expanded (https://www.writtenlyhub.com/news/tag/google-expanded), Gemini (https://www.writtenlyhub.com/news/tag/gemini) URL: https://www.writtenlyhub.com/news/google-personal-intelligence-ai-mode-free ## Key Takeaways: - Google expanded Personal Intelligence from paid-only to all free US users on March 17, 2026 - AI Mode in Search, the Gemini app, and Chrome can now access Gmail, Google Photos, Calendar, Maps, YouTube, and Search history - The feature was a paid perk just two months ago. Google moved it to free faster than any previous premium feature - No other AI platform offers this level of personal data integration at no cost - Google says it does not train models directly on Gmail or Photos content, but prompts and responses may be used to improve the system ![Google Personal Intelligence connecting Gmail Photos Calendar Maps and YouTube to AI Mode now free for all US users March 2026](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-ai-mode-reads-gmail-now-free-in-the-us-49-chars-1-1774610328490-compressed.png) Two months ago, Personal Intelligence was a paid feature for Google AI Pro and Ultra subscribers. As of March 17, it is [free for every US user with a personal Google account](https://share.google/6ZBtLpO5JrY38SXL0). That speed of transition from premium to free is unusual even for Google. It signals that broad adoption matters more to the company than subscription revenue for this particular feature. Personal Intelligence connects AI Mode in Search, the Gemini app, and Gemini in Chrome to a user's Google ecosystem. Gmail. Google Photos. Calendar. Maps. YouTube watch history. Past search activity. When enabled, AI Mode can reference flight confirmations in email, surface shopping receipts, suggest restaurants based on food preferences, and pull up vacation photos without the user restating any of that context. Google's [VP Nick Fox confirmed the feature](https://share.google/CvuVdGqzPr8cz5jgl) now has 75 million daily active users in AI Mode globally. The free expansion will push that number significantly higher. ## No competitor offers anything close to this for free The comparison with rivals makes clear why Google moved fast. ChatGPT's memory feature stores context from conversations, but only what users share manually. It cannot access an email inbox, a photo library, or a calendar. Apple has promised similar personalization through Siri, but repeated delays mean it may not ship broadly until late 2026. Microsoft Copilot accesses Office 365 data but primarily for enterprise accounts, not free consumer use. Google is the only company connecting Gmail, Photos, Calendar, Maps, YouTube, and Search activity into a single AI assistant available at no cost. That ecosystem breadth is difficult for competitors to replicate because none of them own the same range of services that billions of people already use daily. The strategic logic is straightforward. The more personal data flowing through Google's AI, the more useful the responses become. The more useful the responses, the harder it is for users to switch to a competing assistant. Industry analysts describe this as a "stickiness" play designed to deepen user dependency on Google's ecosystem. ## The privacy question is real and unresolved A [Malwarebytes survey](https://share.google/cnhSvYCx0W0aiYtI2) found that 9 in 10 respondents expressed concern about AI using their data without consent. Google is aware of the tension. The feature is opt-in and off by default. Users must manually navigate to their Search profile, tap Search personalization, and choose which apps to connect. Permissions can be revoked at any time. Google says Gemini does not train directly on Gmail inbox content or Google Photos libraries. It trains on "limited info, like specific prompts in Gemini or AI Mode and the model's responses." [Android Police](https://share.google/UkWCjlJA0PZoOpQba) published a critical analysis in January arguing that the reality is more nuanced than Google's messaging suggests. The concern: even if Google does not use inbox content for model training today, the scope of access is vast, and policies can change. Google has also not announced whether Personal Intelligence data will influence advertising. When asked directly, Nick Fox responded "TBD." That unanswered question hangs over the entire rollout. If personalized search behavior eventually feeds into ad targeting, the advertising implications would be enormous. ## What this changes for marketers and SEO Personal Intelligence introduces individual user context as a factor in search results. Two users typing the same query may now get completely different AI Mode responses based on their email history, past purchases, and location patterns. For content marketers, this adds unpredictability to keyword-level optimization. A query like "best laptop for remote work" might return different product suggestions for different users based on their purchase history and browsing habits. The idea of a single "correct" ranking for a keyword becomes less reliable when personalization is this deep. For e-commerce brands, this could be an advantage. If a user has purchased from a brand before, Personal Intelligence may surface that brand's products more prominently in AI-generated shopping recommendations. Past behavior becomes a ranking signal. For publishers, the picture is more uncertain. Personalization could mean that content matching a user's demonstrated interests gets surfaced more often. But it could also mean that AI Mode generates answers from personal data alone without needing to cite external sources at all. The feature is currently limited to US personal accounts. Workspace business, enterprise, and education accounts are excluded. No international rollout timeline has been confirmed. Google is betting that the value of deeply personalized AI is compelling enough to override privacy concerns at scale. Whether that bet is correct will become clearer as adoption data comes in over the next quarter. **Disclaimer:** _This article is AI-assisted content and may contain errors. Google's features, privacy policies, and availability are subject to change. Always verify with official sources before making decisions._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## TikTok Is Now a Local Search Engine and Google Is Starting to Index It Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-23 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: TikTok Launched a Local Feed and Google Is Indexing It Meta Description: TikTok's Local Feed is live in the US. Videos now appear in Google Search. 46% of UK users visited a business they found on TikTok. Tags: Google AI Mode, TikTok launched, Local Feed for US users, tiktok news Tag URLs: Google AI Mode (https://www.writtenlyhub.com/news/tag/google-ai-mode), TikTok launched (https://www.writtenlyhub.com/news/tag/tiktok-launched), Local Feed for US users (https://www.writtenlyhub.com/news/tag/local-feed-for-us-users), tiktok news (https://www.writtenlyhub.com/news/tag/tiktok-news) URL: https://www.writtenlyhub.com/news/tiktok-local-feed-us-google-indexing-videos **Key Takeaways:** - TikTok launched its Local Feed for US users on February 11, 2026, surfacing nearby travel, food, events, and shopping content based on location - The feed is opt-in, off by default, and available only to users 18+ - In the UK, 46% of TikTok users visited a local business after discovering it on the platform - TikTok video titles and captions now appear in Google Search results - 7.5 million businesses use TikTok in the US, supporting over 28 million workers per a 2025 Oxford Economics report - Emplifi's 2026 benchmarks show TikTok led all platforms in audience growth at 200% year-over-year ![TikTok Local Feed on mobile alongside Google search results showing indexed TikTok video with location discovery features](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geminigeneratedimagehib6lwhib6lwhib6-1774260095608-original.png) A bakery owner getting more walk-in customers from TikTok than Google Maps sounds like an exaggeration. The data says otherwise. [TikTok just launched a Local Feed](https://techcrunch.com/2026/02/11/tiktok-launches-an-opt-in-local-feed-in-the-u-s-leveraging-users-precise-location/) in the US. Google started indexing TikTok videos in search results. And in the UK, where the Local Feed has been live since December, 46% of users visited a local business after discovering it on the platform. The ground already moved. The question is who noticed. ## How the Local Feed works The Local Feed shows up as a new tab on TikTok's home screen. Content surfaces based on three factors: the user's location, the topic of the post, and when it was published. Fresh, nearby content from public accounts gets priority. TikTok launched this first in the UK, France, Italy, and Germany in December 2025. The US rollout on February 11 was the first major product release under TikTok's new American ownership. Oracle, Silver Lake, and MGX now [hold roughly 80% of the US entity](https://www.bbc.com/news/articles/cgexp1q8wn1o). ByteDance retains a 19.9% minority stake. The feature is off by default. Users must opt in and grant precise location access. Location data is collected only while the app is in use. The feed is restricted to users 18 and older. TechCrunch noted the timing was messy. TikTok had just [updated its US privacy policy](https://www.wired.com/story/tiktok-new-privacy-policy/) to mention enhanced location data use, which spooked some users into deleting accounts. The Local Feed launch was partly designed to explain why that location data matters: it powers local content recommendations, not surveillance. ## 46% of UK users visited a local business they found on TikTok That number from TikTok's own data in the UK is what matters most for local businesses. Almost half of users in a mature market took offline action after discovering something on TikTok. Additional data from the Small Business & Entrepreneurship Council paints a similar picture for the US: [84% of small business users](https://www.tubefilter.com/2025/03/12/tiktok-contribution-to-us-economy-jobs-oxford-economics/) say TikTok helped grow their business. 75% say it reached customers beyond their local area. 74% say it helped connect with their local community. Those numbers explain the investment. TikTok is not building the Local Feed just for content discovery. It is building a case that TikTok drives foot traffic and is essential small business infrastructure. ## Google is indexing TikTok videos in search results TikTok video titles and captions now appear in standard Google Search results. This mirrors what happened when Google and Twitter [struck a deal in 2015](https://www.cnbc.com/2015/02/05/twitter-google-close-to-deal-to-make-tweets-searchable.html) for immediate tweet indexing. TikTok content shows up in Google's video results and through the "Perspectives" filter on mobile. For brands and creators, this changes how TikTok content should be produced. A video is no longer competing only for the For You Page. It is competing for Google search real estate. That shifts the playbook: - Captions matter beyond TikTok now. Keyword-rich, specific, and structured copy will outperform vague or emoji-heavy descriptions in search - Location tags serve double duty. They surface content in the Local Feed and improve discoverability in Google - Older evergreen videos may be worth updating with better titles and descriptions now that they carry search value - Geo-tagging should become a habit for any business operating from a physical location Both Google and TikTok are pushing local visibility at the same time. Google's Discover core update from February rewards locally relevant content. TikTok's Local Feed surfaces nearby creators and businesses. The two platforms are converging on the same user behavior: people want to find things near them, fast. ## TikTok crossed a line and most marketers have not caught up Emplifi's 2026 Social Media Benchmarks Report found TikTok led all platforms in audience growth with a [200% year-over-year median follower increase](https://emplifi.io/press/median-brand-follower-counts-on-tiktok-increased-200/). It delivered the highest engagement rates of any platform measured. Combined with the Local Feed, the Google indexing, and ownership stability in the US, TikTok has become something bigger than a video app. It is a search engine, a commerce platform, a local discovery tool, and a short-form media channel operating at scale. The brands building local content strategies on TikTok today will have a measurable head start by Q3. Start with the Local Feed. Geo-tag everything. Write captions for search. And check whether existing videos are showing up in Google. The results might be surprising. **Disclaimer:** _This article is AI-assisted content and may contain errors. TikTok features, policies, and availability vary by region and are subject to change. The statistics cited are sourced from TikTok, Oxford Economics, Emplifi, and industry publications as of March 2026. Always verify with official sources._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Meta Is Pulling Encrypted DMs From Instagram and the Real Story Is What Comes Next Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-20 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Meta Is Removing Encrypted DMs From Instagram in May 2026 Meta Description: Meta ends encrypted messaging on Instagram from May 8. It is also locking AI tools behind paid subscriptions. What marketers need to know. Tags: Influencer marketing, AI tools and features, $4.93 billion, Meta Tag URLs: Influencer marketing (https://www.writtenlyhub.com/news/tag/influencer-marketing), AI tools and features (https://www.writtenlyhub.com/news/tag/ai-tools-and-features), $4.93 billion (https://www.writtenlyhub.com/news/tag/dollar493-billion), Meta (https://www.writtenlyhub.com/news/tag/meta) URL: https://www.writtenlyhub.com/news/meta-instagram-encrypted-dms-removed-2026 **Key Takeaways:** - Meta will shut down encrypted DMs on Instagram from May 8, 2026. Users will be prompted to download messages before the deadline - Meta cited low adoption as the reason and recommends WhatsApp for encrypted messaging - Meta is testing paid subscriptions across Instagram, Facebook, and WhatsApp with exclusive AI tools and features - Meta Verified subscribers are already gaining features that free users are losing, including competitive insights and shared account access - Influencer marketing spend on Meta platforms is projected at $4.93 billion in 2026 ![Meta removing Instagram encrypted DMs in May 2026 alongside paid subscription testing with exclusive AI tools](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geminigeneratedimage5u5vh85u5vh85u5v-1774521200681-compressed.png) Two stories dropped from Meta last week that seem unrelated. They connect more than it looks. First: Meta announced it will [end support for end-to-end encrypted messaging](https://www.engadget.com/social-media/meta-is-killing-end-to-end-encryption-in-instagram-dms-195207421.html) on Instagram starting May 8, 2026. Second: Meta confirmed it is testing premium subscription plans across Instagram, Facebook, and WhatsApp that lock AI tools and advanced features behind a paywall. Together, these moves outline Meta's monetization direction for 2026. For brands and marketers running operations on Instagram, the shift affects both communication workflows and operating costs. ## Why encrypted DMs are going away Meta's explanation is straightforward. Very few people opted into encrypted messaging on Instagram. The feature had been in testing since 2021, part of Mark Zuckerberg's " [privacy-focused vision for social networking](https://www.bsr.org/reports/bsr-meta-human-rights-impact-assessment-e2ee-report.pdf)." Adoption never reached critical mass. Users with encrypted conversations will be prompted to download their messages and media before May 8. After that date, the feature disappears. Meta pointed users toward WhatsApp, where encryption is on by default. The message is clear: private messaging in the Meta ecosystem lives on WhatsApp, not Instagram. The timing matters. TikTok said just days earlier that it has [no plans to add encryption to its DMs](https://www.bbc.com/news/articles/cly2m5e5ke4o) either, citing user safety concerns. Both platforms are moving away from encrypted social messaging and toward moderation-friendly communication. ## The paid subscription play is the bigger signal Reports from mid-March 2026 confirm [Meta is testing subscription plans](https://techcrunch.com/2026/01/26/meta-to-test-premium-subscriptions-on-instagram-facebook-and-whatsapp/) that bundle exclusive features across all three major apps. Early reports suggest the Facebook tier will include access to Manus AI, anonymous story viewing, and the ability to see who viewed stories. Instagram is developing Story Extend and Story Rewatch features for subscribers. Meta Verified subscribers are already seeing the split. Competitive insights and shared access, both previously available to all business accounts, are now limited to Meta Verified users only. This is Meta separating its user base into tiers. Free users get the basic experience. Paying users get AI tools, analytics, and distribution advantages. The gap between the two will widen as more features move behind the paywall. ## What this means for brands on Instagram For DM-dependent workflows, the May 8 deadline requires action. Any sensitive client communication or high-touch sales conversations happening in encrypted Instagram DMs need to migrate to WhatsApp or another platform before that date. Instagram DMs will remain functional but without the encryption layer. For budgeting, the features Meta is moving behind subscriptions are tools marketing teams already depend on. Competitive insights, advanced analytics, enhanced story features. As these shift to paid tiers, the cost of operating professionally on Instagram goes up. Creator partnerships remain a bright spot. Meta projects [$4.93 billion in influencer marketing spend](https://www.emarketer.com/content/meta-gives-creators-new-tools-track-stop-content-theft) on its platforms in 2026. The company is rolling out content theft protections for qualifying creators in Facebook's Content Monetization Program. Meta wants creators producing. It wants everyone else paying for better tools to work with them. The pattern matches what is happening across Big Tech. Free tiers get simpler. Paid tiers absorb the features that used to be free. The platforms that win are the ones where the paid experience is good enough that businesses subscribe without hesitation. Meta is betting Instagram is that platform. Whether that bet is correct will depend on how much value the paid tier delivers compared to the free experience that marketers are losing. **Disclaimer:** _This article is AI-assisted content and may contain errors. The subscription plans mentioned are in testing and may change before public release. Platform features and policies shift frequently. Verify with Meta's official channels before making business decisions._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## LinkedIn Replaced Its Feed Algorithm With LLMs and the Old Growth Playbook Is Dead Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-18 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: LinkedIn Rebuilt Its Algorithm on LLMs. Reach Dropped 35% Meta Description: LinkedIn replaced its feed with LLM-powered ranking. Views down 50%. Dwell time now matters more than likes. What changed. Tags: LinkedIn Replaced, Search Engine, Feed Algorithm, LLms and Old Growth, LinkedIn Tag URLs: LinkedIn Replaced (https://www.writtenlyhub.com/news/tag/linkedin-replaced), Search Engine (https://www.writtenlyhub.com/news/tag/search-engine), Feed Algorithm (https://www.writtenlyhub.com/news/tag/feed-algorithm), LLms and Old Growth (https://www.writtenlyhub.com/news/tag/llms-and-old-growth), LinkedIn (https://www.writtenlyhub.com/news/tag/linkedin) URL: https://www.writtenlyhub.com/news/linkedin-algorithm-llm-update **Key Takeaways:** - LinkedIn replaced its feed ranking system with LLM-powered retrieval and a transformer-based Generative Recommender model - The engineering team published the full technical breakdown on March 12. Search Engine Land covered it on March 17, 2026 - Richard van der Blom's Algorithm InSights report shows views down 50%, engagement down 25%, follower growth down 59% - The algorithm now calculates a "Depth Score" based on dwell time, comment quality, saves, and private shares - Company page organic reach has dropped roughly 60% since 2024. Personal profiles dominate 65% of content consumption ![LinkedIn replaces its feed](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/linkedin-replaces-its-feed-1773925725626-compressed.png) If LinkedIn posts have been getting fewer views, less interaction, and slower follower growth over the past few months, the platform just confirmed why. LinkedIn rebuilt its feed algorithm from scratch. The engineering team published a detailed breakdown on March 12, 2026. Search Engine Land reported on the changes today, March 17. This is not a minor adjustment. The entire ranking infrastructure changed. ## **What replaced the old system** The previous algorithm was a patchwork of signals. Chronological ranking, trending content detection, collaborative filtering. It rewarded posting frequency, early likes, and engagement pods. The replacement runs on two AI components. First, a retrieval layer powered by fine-tuned large language models that generates semantic embeddings. It reads content for meaning, not keywords, and matches it against each user's professional interests, job title, skills, and career trajectory. Second, a Generative Recommender model that treats each user's feed history as a sequence. It analyzes patterns across past interactions, including likes, comments, and dwell time, to predict what that person will find useful next. LinkedIn's infrastructure processes millions of posts in real time. Content embeddings update within minutes. Retrieval takes under 50 milliseconds. The system reacts to engagement signals almost instantly, not in overnight batches. ## **Depth Score replaced vanity metrics** The biggest practical change is how LinkedIn measures value. The platform introduced what creators and analysts call the "Depth Score." It tracks how long someone spends with content, not whether they tapped a heart. What feeds into Depth Score: - Dwell time: actual seconds spent reading or watching - "See more" expansion rate: whether people click to read the full post - Comment depth: multi-reply threads matter far more than standalone reactions - Saves: a strong signal of lasting reference value - Profile visits after reading: shows the content built enough interest to learn about the author What gets penalized: - Generic comments like "Great post!" carry almost no algorithmic weight - Engagement pods and automation tools are being actively detected and suppressed - External links in post captions reduce distribution by roughly 60% - AI-generated content with predictable, templated language gets downranked LinkedIn explicitly announced it is reducing "repetitive, click-driven posts" and filtering engagement bait. The platform also confirmed it is cracking down on comment automation tools and browser extensions. ## **Company pages are losing ground fast** The data on brand pages is blunt. Company page organic reach dropped approximately 60% between 2024 and 2026. Personal profiles now represent about 65% of content consumption. Company pages sit at roughly 5% of user feeds. The algorithm favors individual expertise over brand broadcasts. A post from a head of marketing sharing a genuine professional insight will outperform the same content published from the company page. This makes employee advocacy programs more strategically valuable than at any point in LinkedIn's history. The reach is shifting to personal profiles. Brands that build content strategies around their people, not their logo, will see better distribution. ## **What actually works in March 2026** PDF document carousels generate 2-3x more dwell time than text-only posts. Every slide swiped counts as an interaction on the Depth Score clock. Native video uploaded directly to LinkedIn outperforms external links significantly. YouTube links in captions get treated as exit routes and penalized. For writing, LinkedIn's systems now flag "low perplexity" content. Posts that read like they were generated by ChatGPT, with predictable structures and generic phrasing, see reduced distribution. Specific examples, first-hand professional experience, and contrarian opinions perform better. The practical approach: post 2-3 times per week instead of daily. Prioritize depth over frequency. Use carousels for frameworks and how-to content. Respond to comments quickly and substantively. Skip the motivational fluff. The platforms that reward depth over volume tend to produce better content ecosystems. Whether LinkedIn's bet pays off for users will become clearer over the next quarter. For now, the rules changed and the data shows it. **Disclaimer:** _This article is AI-assisted content and may contain errors. LinkedIn's algorithm continues to evolve and performance patterns may shift as updates roll out. The statistics cited are from published research and platform announcements as of mid-March 2026. Always test strategies against your own data._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google AI Mode Is Its Own Biggest Source and That Should Worry Every Publisher Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-18 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google AI Mode Cites Itself More Than Any Other Site Meta Description: Google is the top source in its own AI answers. Self-citation tripled in 9 months. SE Ranking analyzed 1.3M citations. Tags: AI Overviews, Google AI Mode, 59%, Google Employees Tag URLs: AI Overviews (https://www.writtenlyhub.com/news/tag/ai-overviews), Google AI Mode (https://www.writtenlyhub.com/news/tag/google-ai-mode), 59% (https://www.writtenlyhub.com/news/tag/59percent), Google Employees (https://www.writtenlyhub.com/news/tag/google-employees) URL: https://www.writtenlyhub.com/news/google-ai-mode-self-citation-seo **Key Takeaways:** - Google.com accounts for 17.42% of all citations in AI Mode, more than YouTube, Facebook, Reddit, Amazon, Indeed, and Zillow combined - Including YouTube, Google-controlled properties make up roughly 20% of all AI Mode sources - Self-citation has tripled in nine months, up from 5.7% in June 2025 - 59% of Google's self-citations now point to organic search result pages, not just Google Business Profiles - The European Publishers Council filed an antitrust complaint with the EU over this behavior in February 2026 ![Pie chart showing Google as the top cited domain in AI Mode at 17.42 percent based on SE Ranking study of 1.3 million citations](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-ai-mode-is-its-own-biggest-source-and-that-should-worry-every-publisher-1773833736542-original.png) Something unusual keeps showing up in AI Mode results. Ask an informational question about financial planning. One of the cited "sources" in the side panel is not a finance blog or a news outlet. It is another Google search results page. That is not a one-off. SE Ranking just put hard numbers behind the pattern. The company tracked [68,313 keywords across 20 industries](https://almcorp.com/blog/google-ai-mode-ask-about-citation-overlays/) and collected 1,321,398 citations during a two-week window in February 2026. Google.com came back as the single most cited domain in AI Mode responses. Not Wikipedia. Not Reddit. Not any publisher. Google itself. ## The composition changed and that is the real story Nine months ago, SE Ranking first flagged the self-referencing pattern. Back then, it was mostly a local search issue. [97.9% of Google's AI Mode citations](https://thetechmarketer.com/google-ai-search-referrals-loop/) pointing to Google.com led to Google Business Profiles. Restaurants, dentists, mechanics. As of February 2026, that picture looks completely different. [59% of Google's self-citations](https://almcorp.com/blog/google-ai-mode-ask-about-citation-overlays/) in AI Mode now point to traditional organic search result pages. Another 36% still go to Business Profiles. The rest splits between Google Support, Google Flights, and other Google properties. The practical outcome: a user asks AI Mode an informational question. Instead of citing an independent publisher, AI Mode sometimes cites a Google search results page. The user clicks through to another Google experience. More ads. More Google properties. More monetized results. The loop stays inside Google. ## Google dominates almost every industry category SE Ranking's industry breakdown is striking. [Google.com is the top-cited domain](https://seranking.com/blog/google-links-in-ai-mode-answers/) in 19 out of 20 niches studied. Travel had the highest concentration at 53.18%. Entertainment and Hobbies came in at 48.74%. Real Estate at 30.54%. Even Finance (5.13%) and Insurance (6.48%), where specialized publishers should dominate, saw Google hold the top citation position. The single exception: Careers and Jobs. Indeed was cited 3.1x more often than Google in that category. ## Regulators are already paying attention In February 2026, the [European Publishers Council filed a formal antitrust complaint](https://www.reuters.com/world/european-publishers-council-files-eu-antitrust-complaint-about-googles-ai-2026-02-10/) against Google with the EU. The complaint specifically named AI Mode alongside AI Overviews. The argument: Google uses publisher content in AI-generated answers without proper authorization, without effective opt-out options, and without compensation. That investigation could force structural changes in how AI Mode handles citations. But regulatory processes move slowly. The self-referencing pattern keeps accelerating in the meantime. ## What this means for content and SEO strategy The data adds a difficulty layer for anyone whose traffic depends on AI Mode citations. The competition is not just other publishers. It is Google itself occupying citation space. A counterpoint worth noting: SE Ranking's analysis points out that since [59% of Google's self-citations](https://seranking.com/blog/google-links-in-ai-mode-answers/) now include organic rankings in the citation panel, strong organic performance still matters inside AI Mode. Getting ranked well increases the chance of appearing in that panel even when Google is also citing its own results alongside yours. The focus stays the same. Build content deep enough that AI Mode needs it. Structure it so AI systems can extract it cleanly. Publish on topics where real expertise is hard to replicate. Google will always have the advantage of citing itself. The question is whether the content is good enough to share that space. **Disclaimer:** _This article is AI-assisted content and may contain errors. The data and statistics referenced are sourced from published research as of mid-March 2026. This is a fast-moving space where numbers, policies, and platform behaviors change frequently. Always verify with original sources before making business decisions._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google AI Mode Lets Users Buy Products and Browse Recipes in Search Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-14 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google AI Mode Adds Buy Button, Fixes Recipe Traffic Issue Meta Description: Google AI Mode adds UCP-powered checkout with Etsy and Wayfair and redesigns recipe results to send more traffic back to creators. Tags: UCP Powered, Frankenstein recipe, Google, AI Mode Tag URLs: UCP Powered (https://www.writtenlyhub.com/news/tag/ucp-powered), Frankenstein recipe (https://www.writtenlyhub.com/news/tag/frankenstein-recipe), Google (https://www.writtenlyhub.com/news/tag/google), AI Mode (https://www.writtenlyhub.com/news/tag/ai-mode) URL: https://www.writtenlyhub.com/news/google-ai-mode-checkout-ucp-recipe-update **Key Takeaways:** - Google rolled out UCP-powered checkout in AI Mode. US shoppers can now buy from Etsy and Wayfair directly inside search results - Shopify, Target, and Walmart integrations are coming soon. Over 20 major companies have endorsed the protocol - Google also redesigned how AI Mode handles recipe searches after months of backlash from food creators - The new recipe display shows meal options with images that link to creator sites, replacing the "Frankenstein recipe" approach - Both updates signal Google is turning AI Mode from a research tool into a commerce and content discovery tool ![Google AI Mode showing UCP-powered checkout buy button for Wayfair products alongside new recipe display with links to food creator websites](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geminigeneratedimagerysx89rysx89rysx-1-1773470403787-original.png) You can now buy a couch from Wayfair without leaving Google Search. That sentence would have sounded absurd two years ago. Google rolled out [UCP-powered checkout](https://www.seroundtable.com/google-ucp-powered-checkout-in-ai-mode-40922.html) inside AI Mode in early March. UCP stands for Universal Commerce Protocol, an open standard Google developed with Shopify, Etsy, Wayfair, Target, and Walmart. It lets users complete purchases directly inside AI Mode in Search and the Gemini app. The same week, Google redesigned how AI Mode displays recipes. Both updates point in the same direction: AI Mode is no longer just a research tool. Google is building it into a place where people discover, evaluate, and buy. ## How AI Mode checkout works When a user asks AI Mode about a product and the response includes an eligible listing from a participating retailer, a "Buy" button appears. Tapping it starts a checkout process without leaving the search interface. Payment goes through Google Pay using information already saved in Google Wallet. PayPal support is coming soon. The retailer stays the seller of record. They control pricing, inventory, and fulfillment. Right now, Etsy and Wayfair are live. Google confirmed that Shopify, Target, and Walmart integrations are next. Glenn Gabe, a well-known SEO consultant, was among the first to spot it in the wild. [He posted on X](https://x.com/i/status/2021626054071443844): "Big news for ecommerce, for Google, and AI search. You can see a buy button... and then the checkout process right in AI Mode." ## What this means for e-commerce SEO If you sell products online, the discovery-to-purchase path just got shorter. Users no longer need to click through to your site to buy. That is both an opportunity and a risk: - Products listed in [Google Merchant Center with UCP eligibility](https://blog.google/products/ads-commerce/agentic-commerce-ai-tools-protocol-retailers-platforms/?utm_) get a direct "Buy" button in AI Mode results - Brands not in the program lose that conversion shortcut. The user sees a competitor's buy button instead - UCP supports [new Merchant Center data attributes](https://swankyagency.com/agentic-commerce-ai-checkout-what-google-shopify-ucp-means-for-ecommerce-retailers/) designed for conversational commerce. These go beyond traditional product feeds - Google said it will expand UCP globally and add features like loyalty rewards, related product discovery, and custom shopping experiences For e-commerce teams, the action item is clear. Make sure your Merchant Center account is active, your product data is complete, and you are on Google's radar for UCP integration. Sitting this out means losing transactions to competitors who are already inside the checkout flow. ## The recipe fix: Google responded to creator backlash The recipe update came on March 4 when [Robby Stein, VP of Product for Google Search, posted](https://x.com/i/status/2029266609119084644) that Google is "making updates to better connect people with recipe creators on the web." The old AI Mode recipe experience was a mess. Google would synthesize multiple recipes into a single blended response. Food creators called these "Frankenstein recipes." Their work got remixed into AI-generated answers with no meaningful traffic flowing back to the original sources. Food bloggers reported traffic drops of 30% to 80% during 2025. The anger was public and sustained. The new experience works differently. When someone searches for meal ideas in AI Mode, they see a visual display of dishes. Tapping on a dish opens a side panel with an image, a recipe summary, and a clear link to the creator's site. The user can click through to explore the full recipe on the original blog. Google is no longer presenting the AI answer as the final destination for recipe queries. It is now a starting point that funnels users toward creators. ## Two updates, one direction These are separate changes, but the pattern is consistent. Google is turning AI Mode into something more than a research assistant. For products, it is becoming a storefront. For recipes, it is becoming a discovery engine that credits creators. In both cases, Google is absorbing more of the user journey into its own interface. For marketers, this means your presence inside Google's AI surfaces matters more every month. Product feeds, structured data, Merchant Center accounts, and content quality all determine whether your brand shows up inside the AI experience or gets skipped. The users are already there. The question is whether your content and products are visible where they are looking. ……… _\*This post's content was created with the help of AI. Kindly cross-verify any data, statistics, or claims through primary sources, as there could be some discrepancies._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Yoast SEO Now Uses Schema to Disambiguate Entities for AI Search Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-14 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Yoast SEO Adds Entity Disambiguation to Schema Markup Meta Description: Yoast SEO now disambiguates entities in site schema, clarifying authors, articles, products, and organizations. Here’s why it matters for AI search. Tags: AI Overviews, ChatGPT advertising, Yoast SEO Tag URLs: AI Overviews (https://www.writtenlyhub.com/news/tag/ai-overviews), ChatGPT advertising (https://www.writtenlyhub.com/news/tag/chatgpt-advertising), Yoast SEO (https://www.writtenlyhub.com/news/tag/yoast-seo) URL: https://www.writtenlyhub.com/news/yoast-seo-entity-disambiguation-schema **Key Takeaways:** - Yoast SEO introduced a new feature that consolidates site-wide schema and disambiguates entities like authors, articles, products, and organizations - The feature helps search engines and AI systems understand exactly which "entity" your content refers to, reducing confusion across similar names or topics - Structured data is increasingly how AI Overviews, ChatGPT, and Perplexity verify business information and select citations - This connects directly to E-E-A-T: Google uses schema to validate author expertise, organizational authority, and content trustworthiness - The update is available now for Yoast users and does not require manual schema editing ![Diagram showing Yoast SEO entity disambiguation linking author organization and article schema into a unified graph for AI search systems](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geminigeneratedimagemxcdz9mxcdz9mxcd-1-1773470144520-original.png) Google has a hard time telling "John Smith the author" apart from "John Smith the company founder." Yoast just made that easier. On March 4, [Yoast SEO released a feature](https://www.searchenginejournal.com/yoast-seos-new-schema-aggregator-improves-entity-disambiguation/568764/?utm_) that consolidates schemas across your site and disambiguates entities. In plain language: it helps search engines understand that the "John Smith" in your author bio is the same person as the "John Smith" credited on your about page and your LinkedIn profile. This sounds technical. But it solves a real problem that affects how AI systems cite and trust your content. ## What entity disambiguation actually means Every website talks about people, products, companies, and topics. Search engines try to connect those mentions into a clear picture. When they cannot, they guess. And guesses lead to errors. Entity disambiguation means giving search engines enough structured data to remove the guesswork. Instead of seeing "Apple" and wondering if you mean the fruit or the company, your schema explicitly says which one. [Yoast](https://share.google/qj18wzcbw24lnVXgp)'s new feature handles this at the site level. It links your author entities, organization details, product references, and article metadata into a consistent schema graph. One author profile. One organization. No contradictions. You do not need to edit JSON-LD manually. The feature builds and maintains the schema graph through Yoast's existing settings. ## Why this matters for AI search specifically Schema has always helped with Google's rich results. But its role in AI search is growing fast. AI Overviews, ChatGPT, and Perplexity all use structured data to verify information and select citations. When BrightEdge reports that only 17% of AI Overview citations come from the organic top 10, the question becomes: what makes the other 83% of cited sources get selected? Part of the answer is structured data. AI systems prefer sources they can verify. Clean schema that clearly identifies who wrote the content, what organization published it, and what the content covers gives AI systems confidence. This connects directly to E-E-A-T. Google's quality guidelines emphasize experience, expertise, authoritativeness, and trustworthiness. Schema is the machine-readable version of those signals. [Search Engine Journal reported](https://searchengineland.com/schema-local-visibility-google-ai-470906?utm_) that schema now helps Google and AI systems "verify business information and reduce conflicts across local packs, AI Overviews, and search results." That is not future-tense. That is happening now. ## What Yoast's feature does in practice The update works through three layers: - It consolidates author schema so that every mention of an author on your site points to a single, consistent entity. No duplicate profiles. No conflicting information - It links your organization schema to your content, making it clear which company or publication is behind each piece - It disambiguates product and article entities so that AI systems can tell apart products with similar names or articles covering similar topics For agencies managing multiple client sites, this reduces a common source of schema errors. Many sites have fragmented or contradictory structured data because different plugins, themes, or manual edits created conflicting entity references over time. ## What to do this week If you use Yoast SEO, check whether the entity disambiguation feature is active on your site. Review your author profiles and organization settings to make sure they are complete and accurate. If you do not use Yoast, the principle still applies. Audit your schema for entity consistency. Make sure your structured data does not create two different versions of the same author, product, or organization. AI systems are getting better at reading schema. The sites that make their entities clear and unambiguous will have an advantage in AI citation selection. The sites that leave their schema fragmented will keep losing visibility to competitors who get this right. This is a quiet update. But in a search environment where AI systems increasingly choose who to cite, making your entities unmistakable is not optional. It is infrastructure. ……… _\*This post's content was created with the help of AI. Kindly cross-verify any data, statistics, or claims through primary sources, as there could be some discrepancies._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Months of Google Ranking Volatility Leave SEOs Without Answers Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-12 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google Search Rankings Unstable Again, No Word From Google Meta Description: SEO tools show extreme volatility in March 2026, with many sites reporting 30–80% traffic drops. Google has not confirmed any core update so far. Tags: Google ranking, SEMRush, Google Tag URLs: Google ranking (https://www.writtenlyhub.com/news/tag/google-ranking), SEMRush (https://www.writtenlyhub.com/news/tag/semrush), Google (https://www.writtenlyhub.com/news/tag/google) URL: https://www.writtenlyhub.com/news/google-search-ranking-volatility-march-2026 **Key Takeaways:** - SEO tracking tools like SEMrush Sensor are showing near-maximum volatility scores as of early March 2026 - Webmasters report traffic drops of 30-80% across multiple categories with no confirmed update - Google completed its first-ever Discover core update on February 27 but says that only affected Discover, not Search - Documented ranking spikes occurred on February 2, 10, 15, and throughout the last week of February - The SEO community is debating whether Google has moved to continuous smaller updates instead of big announced rollouts ![SEMrush Sensor volatility chart showing elevated Google Search ranking instability from January through March 2026 with no confirmed core update](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geminigeneratedimagex7gvchx7gvchx7gv-2-1773302690664-original.png) Something is happening in Google Search. Google is not saying what. SEO tracking tools have been running hot since January 2026. As of the first week of March, SEMrush Sensor and other volatility trackers remain at elevated levels. The pattern has not cooled down. Webmasters across forums like WebmasterWorld are reporting real damage. Traffic drops of 30% to 80% across categories. Some e-commerce sites describe their shops as "at a standstill." News sites report being "in freefall." Google has not confirmed any Search core update during this period. ## What Google did confirm, and what it did not Google launched the [February 2026 Discover core update](https://share.google/XvOVkzvF9HfMFH2iV) on February 5. It was completed on February 27 after 22 days. Google was clear: this update only affected Discover feeds. Search rankings were not supposed to be part of it. But the timing overlapped with visible Search ranking volatility. Documented spikes hit on February 2, February 10, February 15, and across the final week of February. Those spikes appeared in Search, not just Discover. Google's official position on the [Search volatility](https://share.google/o2TOUyGWVMYval4CT): nothing. No blog post. No Search Central announcement. No status dashboard update for Search rankings. [Barry Schwartz at Search Engine Roundtable](https://www.seroundtable.com/google-search-ranking-volatility-heated-41053.html?utm_), who tracks these patterns daily, noted the volatility is "very heated" and ongoing. He added that Google "has nothing to share on that topic." ## The continuous update theory A growing number of SEOs are asking the same question: has Google moved away from big announced core updates toward a model of continuous smaller changes? Google itself hinted at this in late 2025 when it confirmed that "smaller core updates now happen continuously." If true, the traditional pattern of waiting for a named update, then monitoring a two-week rollout, then recovering, may no longer apply. Instead, rankings may be recalculated in an ongoing flow. That would explain why volatility trackers stay elevated for weeks at a time without a single confirmed event. This theory is not confirmed. But it matches what the data shows: persistent movement without a clear start and end point. ## What webmasters are actually seeing The reports from March 2026 forums paint a consistent picture: - US traffic dropping sharply even for sites with stable rankings - International traffic also affected across multiple regions - E-commerce sites seeing sales drop despite ad spend remaining constant - News and content sites reporting dramatic declines in organic referrals - Some categories bouncing back briefly before dropping again The frustration is amplified by the lack of official communication. Webmasters cannot diagnose a problem that Google will not acknowledge. ## What you should do right now Without a confirmed update, the standard advice applies. But there are some practical steps worth taking this week: - Check your Search Console data for the last 90 days. Look for traffic drops that do not correlate with ranking losses. If rankings held but traffic fell, AI Overviews or SERP layout changes may be the cause - Run your core pages through Google's own quality guidelines. Focus on [E-E-A-T signals](https://share.google/S1aMNi6UZftK9rCT7), especially author expertise and source attribution - Audit page experience across your entire site, not just your homepage. Google may now evaluate site-wide consistency more heavily - Do not make sweeping changes during active volatility. Monitor first. Reactive edits during unstable periods often backfire - Track week-over-week rather than day-over-day. Daily volatility will look alarming even when the underlying trend is stable The SEO community expects either a formal March core update announcement or continued silence paired with ongoing fluctuations. Either way, the websites that perform best through volatility are the ones built on genuine depth, clear expertise, and clean technical foundations. Those basics do not change regardless of what Google does or does not announce. _\*This post content was created with the help of AI. Kindly cross-verify any data, statistics, or claims through primary sources, as there could be some discrepancies._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Criteo Is the First Ad Tech Company Inside ChatGPT. The Conversion Data Is Interesting Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-12 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Criteo Joins ChatGPT Ads and Here Is What to Know Meta Description: Criteo joined OpenAI's ChatGPT ad pilot as the first ad tech partner. Users from LLMs convert 1.5x higher than other channels. What marketers need to know. Tags: Criteo, First Ad Tech, Tech Company, Inside ChatGPT Tag URLs: Criteo (https://www.writtenlyhub.com/news/tag/criteo), First Ad Tech (https://www.writtenlyhub.com/news/tag/first-ad-tech), Tech Company (https://www.writtenlyhub.com/news/tag/tech-company), Inside ChatGPT (https://www.writtenlyhub.com/news/tag/inside-chatgpt) URL: https://www.writtenlyhub.com/news/criteo-chatgpt-ads-openai-advertising **Key Takeaways:** - Criteo announced it is the first advertising technology partner to integrate with OpenAI's ChatGPT ad pilot - Early data from 500 US retailers shows users referred from LLM platforms convert at 1.5x the rate of other referral channels - Ads appear only on ChatGPT's Free and Go tiers. Plus, Pro, and Enterprise users remain ad-free - Premium ChatGPT ad placements reportedly carry a $60 CPM, far higher than traditional display - Search Engine Land warns ChatGPT ads won't grow the ad market. They will redistribute spending from Google, Meta, and Amazon ![ChatGPT conversation interface showing sponsored ad placement from Criteo integration with 1.5x conversion rate callout from LLM platform referrals](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/criteo11-1773299708268-compressed.png) ChatGPT ads are no longer a test. They have an ad tech partner now. On March 2, Criteo announced it is the first advertising technology company to integrate with OpenAI's ChatGPT ad pilot. The integration covers ChatGPT's Free and Go subscription tiers in the United States. This is an important update because it moves ChatGPT from "we're testing ads" to "brands can now buy through the same ad tech platforms they already use." That is a meaningful step toward scale. ## The early numbers are worth paying attention to Criteo shared one data point that stands out. Across a [sample of 500 US retailers](https://www.criteo.com/news/press-releases/2026/03/criteo-joins-openai-advertising-pilot-in-chatgpt/) in February 2026, users referred from LLM platforms like ChatGPT convert at roughly 1.5x the rate of other referral channels. That conversion premium makes sense. Someone asking ChatGPT, "What is the best project management software for remote teams?" has higher purchase intent than someone scrolling a social feed. The query itself signals a decision in progress. Premium ad placements inside ChatGPT reportedly carry a $60 CPM. That is significantly higher than standard display [advertising spend](https://www.writtenlyhub.com/news/creator-economy-ad-spend-2026-brand-budgets). But if the conversion rates hold, the economics could work for advertisers in high-consideration categories like B2B software, professional services, and premium consumer goods. ## How ChatGPT ads actually work right now [OpenAI launched the ad test for US users](https://www.writtenlyhub.com/news/openai-chatgpt-ads-testing-free-users-us) in February 2026. Ads appear at the bottom of ChatGPT responses in clearly labeled sponsored boxes. They are matched to the conversation topic, not to a keyword bid. The key rules OpenAI has set: - Ads do not appear for Plus, Pro, Business, Enterprise, or Education subscribers - Ads do not influence ChatGPT's answers. The response generates first, ads are served separately - Users can dismiss any ad and provide feedback on why - No ads appear near sensitive topics like health, politics, or mental health - Users under 18 do not see ads OpenAI has also confirmed that conversation data is not shared with advertisers. They receive aggregated performance data, such as views and clicks. ## Why this matters more than another ad platform launch Search Engine Land published a smart analysis on March 9 that frames this correctly. ChatGPT processes 2.5 billion prompts every day. A single LLM query costs roughly 10x more than a traditional search query. OpenAI needs advertising revenue. **But the key insight:** ChatGPT ads will not expand the advertising market. They will pull spending away from Google, Meta, and Amazon. This is redistribution, not growth. For content marketers and SEO professionals, the implications are practical: - If your audience uses ChatGPT to research, your content needs to be cited in AI responses. That is your organic visibility in this channel - Paid placements inside AI chat are now a real option. Budget conversations need to include LLM advertising alongside search and social - Anthropic's Claude, by contrast, ran a Super Bowl ad campaign with the tagline "Ads are coming to AI. But not to Claude." The competitive positioning between AI tools is now partly about the ad experience Criteo CEO Michael Komasinski called the pilot "an exciting step forward in advancing advertising in an emerging AI experience." The more telling statement is what he didn't say. He didn't call it experimental. He called it emerging. This channel is being built. The question for marketers is whether to watch or start learning how it works while the competition is still low. _\*This post content was created with the help of AI. Kindly cross-verify any data, statistics, or claims through primary sources, as there could be some discrepancies._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## AI Overviews Now Cover Nearly Half of Google Searches: Here Is the Data Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-12 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: A Look Into AI Overviews BrightEdge Data 2026 SEO Meta Description: AI Overviews BrightEdge data 2026 SEO report shows 58% YoY growth. Education hits 83%. Only 17% of organic top 10 gets cited. Full breakdown inside. Tags: AI Overviews, BrightEdge data, Only 17% of AI Overview Tag URLs: AI Overviews (https://www.writtenlyhub.com/news/tag/ai-overviews), BrightEdge data (https://www.writtenlyhub.com/news/tag/brightedge-data), Only 17% of AI Overview (https://www.writtenlyhub.com/news/tag/only-17percent-of-ai-overview) URL: https://www.writtenlyhub.com/news/ai-overviews-brightedge-data-2026-seo **Key Takeaways:** - BrightEdge data shows AI Overview coverage grew 58% from February 2025 to February 2026 - AI Overviews now trigger on close to 50% of all tracked queries. But 52% still return classic results only - Education queries jumped from 18% to 83% coverage. B2B tech went from 36% to 82%. Restaurants from 10% to 78% - Only 17% of AI Overview citations come from pages ranking in the organic top 10. That number has stayed flat all year - The average AI Overview now takes up more screen space than the entire visible desktop viewport before scrolling ![Bar chart showing AI Overview coverage growth by industry from February 2025 to February 2026 based on BrightEdge research data](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geminigeneratedimagelabf08labf08labf-1-1773289873358-original.png) Ranking on page one no longer means what it used to. BrightEdge just put numbers behind that reality. New research published on Search Engine Journal covers BrightEdge's latest AI Overview analysis. The data spans February 2025 to February 2026 and tracks coverage across industries, citation patterns, and the amount of screen space these summaries occupy. **The top-line number:** [AI Overview coverage grew 58% year-over-year](https://www.searchenginejournal.com/google-ai-overviews-surges-across-9-industries/568448/). These summaries now trigger for nearly half of all tracked queries. But the more useful details are in the rest of the story. ## The industries getting hit hardest Google did not roll out AI Overviews evenly. Some sectors saw massive expansion while others barely moved. The biggest jumps in AI Overview coverage: - **Education:** from 18% to 83% - **B2B technology:** from 36% to 82% - **Restaurants:** from 10% to 78% - **Healthcare:** consistently above 80%, with treatment queries at 100% Meanwhile, real estate, shopping, and arts and entertainment remain lightly affected. AI Overviews appear on fewer than 3% of keywords in those categories. Google is clearly choosing where AI answers belong. High-information queries get AI Overviews. High-commercial-intent queries mostly do not. That pattern protects ad revenue while giving users faster answers on informational searches. ## The citation gap that should worry SEOs Here is the finding that changes how you think about optimization. Only 17% of sources cited in AI Overviews also rank in the organic top 10. That number has been flat all year. It barely moves. **Flip that around:** roughly 5 out of 6 AI Overview citations pull from content that is not on page one of traditional search results. The broader overlap is growing slowly. About 53% of cited sources rank somewhere in the top 100, up from 49% a year ago. But the page-one connection remains weak. **What this means:** ranking #1 for a keyword does not automatically get you cited in the AI Overview for that keyword. And not ranking on page one does not exclude you from citations either. The two systems are connected but operate on different logic. ## AI Overviews are physically dominating the screen BrightEdge tracked the pixel height of AI Overviews over the past year. The average AI Overview now takes up more vertical space than the entire visible desktop viewport before a user scrolls. The first organic result sits completely below the fold. Even if your organic ranking is strong, the sheer size of AI Overviews means fewer users reach the traditional blue links when an AIO is present. This directly affects click-through rates. ## Classic search is not dead. But it is now half the game Here is the counterweight. AI Overviews trigger on nearly half of queries. That means 52% of searches still return only classic results with no AI summary at all. For more than half of the search, organic rankings are still the entire experience. That is not a detail. It is the foundation. Search now runs in two modes, depending on the query. Some results start with an AI summary. Many others show only ranked links. Content strategy needs to account for both. ## What to do with this data If you work in education, B2B tech, healthcare, or restaurants, AI Overview optimization is no longer optional. Your queries are already dominated by AI summaries. Focus on what BrightEdge's citation data tells you: - Page-one rankings help, but they are not enough for AI visibility - Content ranked on pages 2 through 10 is increasingly getting cited - Topical authority, clear structure, and original data are the signals that earn citations - Track AI citation presence alongside traditional rankings. Both now matter For industries where AI Overviews remain rare, like e-commerce and real estate, traditional SEO fundamentals still drive results. But watch the data quarterly. Google's expansion is not finished. _\*This post content was created with the help of AI. Kindly cross-verify any data, statistics, or claims through primary sources, as there could be some discrepancies._ --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## 600+ Google and OpenAI Employees Just Signed a Joint Letter Against Pentagon AI. That Has Never Happened Before Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-06 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: 600+ Google and OpenAI Staff Just United Against Pentagon AI Deals Meta Description: 573 Google and 93 OpenAI employees signed a joint letter demanding red lines on military AI. Google's Chief Scientist endorsed it. A first in tech. Tags: OpenAI, 600+ Google, Google Employees Tag URLs: OpenAI (https://www.writtenlyhub.com/news/tag/openai), 600+ Google (https://www.writtenlyhub.com/news/tag/600-google), Google Employees (https://www.writtenlyhub.com/news/tag/google-employees) URL: https://www.writtenlyhub.com/news/google-openai-employees-pentagon-ai-red-lines **Key Takeaways:** - 573 Google employees and 93 OpenAI employees signed an open letter titled "We Will Not Be Divided" - The letter demands their companies refuse Pentagon contracts enabling mass surveillance or autonomous weapons - Google's Chief Scientist Jeff Dean personally endorsed the letter - An OpenAI alignment researcher and a research scientist publicly criticized their own company's Pentagon deal - This is the first time employees from competing AI companies have organized together on military ethics ![Graphic showing 573 Google and 93 OpenAI employees who signed the joint We Will Not Be Divided letter demanding red lines on Pentagon AI contracts](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/600-google-and-open-ai-stuff-1-1773110118043-original.png) Rival AI companies do not organize together. Until last week, they never had. On February 28, an open letter titled "We Will Not Be Divided" went live on notdivided.org. It carried 573 signatures from Google employees and 93 from OpenAI employees. The letter argued the US government was "trying to divide each company with fear that the other will give in." It called on both companies to refuse Pentagon contract terms that could enable mass surveillance of Americans or autonomous weapons. This happened in the middle of the Anthropic-Pentagon standoff. It happened the same day OpenAI signed its own military deal. And it carried an endorsement from someone who almost never takes public positions: Google's Chief Scientist Jeff Dean. ## What the letter actually says The notdivided.org letter is direct. It frames the current situation as a deliberate pressure tactic by the government, pitting AI companies against each other so that each fears being the one left behind. The letter's core demand: all signatories call on their employers to set aside competitive differences and collectively refuse the Pentagon's current contract terms. A separate group of Google DeepMind employees wrote directly to Jeff Dean with specific concerns about Google's Gemini for Government deal from August 2025. They worried it could be extended to cover mass surveillance or autonomous weapons without explicit restrictions. Dean endorsed the broader letter publicly. When a Chief Scientist at one of the world's largest AI companies sides with a competitor's ethical position, it creates internal pressure that boards cannot easily ignore. ## OpenAI's own people spoke out publicly The internal criticism at OpenAI went beyond the letter. Leo Gao, who works on AI alignment at OpenAI, criticized his employer on X. He pointed out that the company agreed to let the Pentagon use its tech for "any lawful purpose" and then added what he called "window dressing" to make it look more restricted. Research scientist Aidan McLaughlin posted that he personally did not think the deal was worth it. That post drew nearly 500,000 views. These are not anonymous leaks. Named employees at one of the most prominent AI companies in the world publicly questioned their own leadership's decisions. That kind of visible dissent inside a company this high-profile is rare. ## This started before the Pentagon deal The employee movement has been building for months. Earlier in February, nearly a thousand Google workers signed a separate letter urging the company to end contracts with DHS, ICE, and Customs and Border Protection. Google DeepMind staff had already raised objections to military AI use before the Anthropic standoff began. The QuitGPT campaign, which claims 1.5 million people have taken action against ChatGPT, organized a protest outside OpenAI's San Francisco headquarters on March 3. Altman himself acknowledged the employee sentiment. In his X post admitting the Pentagon deal was rushed, he said he was surprised by how many critics "seemed to have more faith in unelected tech executives making decisions about the appropriate use of AI rather than government officials." ## Why this matters for the tools you use every day If you use ChatGPT, Claude, or Gemini professionally, the people who build those tools are now publicly fighting over how they get used. That fight is not abstract. It affects product decisions. It affects what safeguards stay in the tools and which ones get removed. It affects whether the company you trust with your data and workflows prioritizes revenue or principles when those two things collide. The employee coalition is significant because it creates accountability from the inside. Executives at Google and OpenAI cannot dismiss this as external noise. These are their own engineers, researchers, and alignment specialists. Anthropic drew a line. Its employees did not need to organize because leadership already took the position. At Google and OpenAI, the employees are drawing the line themselves. What happens next depends on whether these companies listen to their own people. And whether users reward or punish the decisions they make. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google's First-Ever Discover Core Update Is Complete. The Data Shows Clear Winners and Losers Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-06 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google's First Discover-Only Core Update Is Done. Here's Who Won Meta Description: Google decoupled Discover from Search for the first time. Clickbait sites lost 30-60% traffic. Niche publishers gained. Early data shows what changed. Tags: Google, Unique domains, 1000 Discover, X/Twitter Tag URLs: Google (https://www.writtenlyhub.com/news/tag/google), Unique domains (https://www.writtenlyhub.com/news/tag/unique-domains), 1000 Discover (https://www.writtenlyhub.com/news/tag/1000-discover), X/Twitter (https://www.writtenlyhub.com/news/tag/xtwitter) URL: https://www.writtenlyhub.com/news/google-discover-core-update-february-2026 **Key Takeaways:** - Google completed its first Discover-only core update on February 27 after a 22-day rollout - The update targets clickbait, boosts local content relevance, and rewards niche topic expertise - Unique domains in the US top 1,000 Discover placements dropped from 172 to 158. Fewer publishers are getting top visibility - X/Twitter posts from institutional accounts jumped from 3 to 13 items in the US Discover top 100 - The update currently affects only English-language US users. A global rollout is coming in the months ahead ![Before and after comparison of Google Discover feed showing shift from clickbait content to localized expert-driven content after February 2026 core update](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/googlediscovertransformatio-1773066930761-compressed.jpeg) Google just separated Discover from Search. For the first time ever, each channel runs on its own algorithm. The February 2026 Discover core update started rolling out on February 5 and finished on February 27. It took 22 days, about a week longer than Google's original estimate. Google confirmed it on the Search Status Dashboard, and the Search Central Blog laid out three goals: more locally relevant content and depth from sites with real expertise and less clickbait. This was not a standard core update that affects everything. It only touched Discover. Your Search rankings were not part of this. ## The early data tells a clear story NewzDash, which tracks Discover performance across millions of US users, [published a scorecard](https://www.newzdash.com/guide/google-discover-feb-2026-core-update-scorecard-data-shows-what-actually-changed?language=de) comparing pre-update (January 25-31) and post-update (February 8-14) windows. The headline finding: fewer publishers are getting Discover's best placements. Unique domains in the US top 1,000 dropped from 172 to 158, an 8% decline. California saw a similar drop from 187 to 177. More topics are being covered. But that traffic is going to a narrower set of publishers who demonstrate real authority on those topics. Google is matching its actions to what it said. Sites that relied on "dramatic reveal" templates and curiosity-gap headlines lost ground fast: - Yahoo dropped from 11 to 6 articles in the US top 1,000, and from multiple top-100 items to zero - Autoevolution had 5 articles pre-update using a near-identical sensational formula. Post-update: zero - A listicle-style "psychology says..." article fell from roughly #14 to #153 ## Local content is winning visibly Regional personalization increased across the board. NewzDash found that New York-local domains appeared roughly five times more often in the New York feed than in the California feed, and the reverse held true for California-local domains. The feeds still share most of their top 100 items nationally. But each state now gets a meaningful local layer on top of that core. For publishers based in India and other non-US markets, the short-term news is not great. International publisher share in US Discover feeds declined from 8.52% to 7.04%. But when Google rolls this update out globally, the same local prioritization will work in your favor on your home turf. ## X posts in Discover jumped significantly One unexpected finding: X/Twitter posts from institutional accounts grew from 3 to 13 items in the US Discover top 100. NewzDash has been tracking this trend since November 2025 and says the update appeared to accelerate it. Most top-performing X items came from established media brands. Not random accounts. Google appears to use real-time social engagement from trusted entities as a Discover signal. ## What publishers and content marketers should do now Google's message is specific enough to act on: - Audit your headlines. If they promise more than the content delivers, expect Discover to downgrade you. - Build topic-by-topic expertise. A site covering 50 categories thinly loses to a niche site covering one deeply. - Use images at least 1,200 pixels wide and add the max-image-preview:large meta tag. - Check your Search Console Discover report. If traffic dropped while search rankings held steady, this update is likely the cause. - If you publish for a regional audience, strengthen your local signals. Geographic relevance is now an active ranking factor. Google said it will expand this update to all countries and languages in the coming months. The playbook it rewards, niche depth, original reporting, no clickbait, is worth adopting now regardless of where your audience sits. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## 1.5 Million Users Are Quitting ChatGPT. Anthropic's "No" to the Pentagon Started It All Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-03-05 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: 1.5 Million Users Are Quitting ChatGPT After OpenAI's Pentagon Deal Meta Description: Anthropic refused the Pentagon. OpenAI rushed in hours later. Now 1.5 million users are boycotting ChatGPT and Claude is #1 on the App Store. Full breakdown. Tags: OpenAI, ChatGPT, Quitting ChatGPT, Anthropic Tag URLs: OpenAI (https://www.writtenlyhub.com/news/tag/openai), ChatGPT (https://www.writtenlyhub.com/news/tag/chatgpt), Quitting ChatGPT (https://www.writtenlyhub.com/news/tag/quitting-chatgpt), Anthropic (https://www.writtenlyhub.com/news/tag/anthropic) URL: https://www.writtenlyhub.com/news/cancel-chatgpt-pentagon-deal-anthropic-claude **Key Takeaways:** - Anthropic refused to let the Pentagon use Claude for mass surveillance or autonomous weapons. The government blacklisted them within hours - OpenAI signed a replacement deal the same night, with what Sam Altman later called "opportunistic and sloppy" timing - A boycott campaign called QuitGPT claims 1.5 million people have taken action against ChatGPT - ChatGPT uninstalls surged 295% in a single day. Claude hit #1 on the App Store for the first time ever - Over 600 Google and OpenAI employees signed an open letter backing Anthropic's position ![Graphic showing Anthropic refusing Pentagon deal while OpenAI signed it, with App Store rankings showing Claude overtaking ChatGPT after the controversy](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geminigeneratedimageqoyn1vqoyn1vqoyn-1772805645670-compressed.png) Anthropic told the Pentagon no. What happened next changed the AI industry in five days. The timeline starts on February 27. Defense Secretary Pete Hegseth gave Anthropic a choice: let the military use Claude for any lawful purpose, or face consequences. CEO Dario Amodei refused. He would not remove safeguards against mass surveillance of Americans or autonomous weapons that kill without human oversight. The Pentagon's response was immediate and unprecedented. Hegseth designated Anthropic a "supply chain risk to national security." That label had only been used against foreign companies like Huawei. This was the first time it was applied to an American company. President Trump followed up on Truth Social, calling Anthropic a "Radical Left AI company run by people who have no idea what the real World is all about." By Friday evening, OpenAI announced it had signed its own Pentagon deal. ## OpenAI took the contract. Then the backlash hit Sam Altman said OpenAI's deal included the same two red lines Anthropic had fought for: no mass surveillance, no autonomous weapons. The Pentagon agreed to those terms from OpenAI but rejected them from Anthropic. The difference? Framing. Anthropic wanted explicit contractual prohibitions written into the agreement. OpenAI accepted that the Pentagon could use its tech for "any lawful purpose" while building what it called a "safety stack" of technical controls. The internet noticed the gap between those two approaches immediately. Within hours, a grassroots campaign called QuitGPT went live. The movement claims over [1.5 million people have taken action](https://www.euronews.com/next/2026/03/02/cancel-chatgpt-ai-boycott-surges-after-openai-pentagon-military-deal), including cancelling paid subscriptions, deleting the app, and sharing boycott messages. "Cancel ChatGPT" trended across Reddit and X through the weekend. The numbers from [Sensor Tower](https://sensortower.com/blog/chatgpt-uninstalls-surge-amidst-deal-with-us-department-of-war) tell the story: - ChatGPT uninstalls surged 295% on Saturday, February 28 - ChatGPT downloads dropped 13% the same day - One-star reviews for ChatGPT jumped 775% overnight - Claude downloads rose 37% on Friday and 51% on Saturday - Claude hit #1 on Apple's US App Store for the first time, pushing ChatGPT to #2 Anthropic says free active users have increased over 60% since January. Daily signups have quadrupled. Paid subscribers have more than doubled in 2026. ## Altman admitted he rushed it By Monday, Altman was in damage control. He published an internal memo on X admitting the deal was a mistake in execution. He used the words "opportunistic and sloppy." He said OpenAI "shouldn't have rushed to get this out on Friday" and announced the company was renegotiating the contract to add explicit language barring domestic surveillance. He also said the Pentagon had confirmed that intelligence agencies like the NSA would not use OpenAI's tools. His own employees were not convinced. Leo Gao, an OpenAI alignment researcher, publicly criticized the company on X for agreeing to "any lawful purpose" and then adding what he called "window dressing." Research scientist Aidan McLaughlin posted that he personally did not think "this deal was worth it." That post drew nearly 500,000 views. ## 600+ employees across rival companies signed a joint letter Here is the part that makes this story different from a normal tech controversy. 573 Google employees and 93 OpenAI employees signed an open letter titled "We Will Not Be Divided." The letter argued the government was "trying to divide each company with fear that the other will give in." Google's Chief Scientist Jeff Dean personally endorsed it. A separate group of Google DeepMind employees wrote directly to Dean raising concerns about how Gemini's government contracts could be extended to cover surveillance. Over 100 Google staff had already demanded an end to military AI contracts before this standoff began. This was the first time employees across competing AI companies organized together on military ethics. ## Why this matters for anyone who uses AI tools If you use ChatGPT, Claude, or Gemini in your work, this story is directly relevant to you. The AI tools that power content workflows, SEO research, strategy documents, and client deliverables are now at the center of a political standoff between the US government and the companies that build them. The values those companies hold will shape what their tools can and cannot do. Anthropic's supply chain risk designation bars every military contractor from working with the company. That could limit its access to enterprise clients and government-adjacent businesses. It could also limit its revenue growth at a critical moment. But the consumer market just voted. Claude's downloads broke every record Anthropic has ever set. The QuitGPT campaign, regardless of whether it dents OpenAI's $29.4 billion revenue target, proved that users care about what their AI providers stand for. For content marketers, agency owners, and SEO professionals who build their daily operations around these tools, this is the week to ask a simple question: do you know what the company behind your AI stack believes in? Anthropic is challenging the supply chain risk designation in court. Altman is renegotiating his Pentagon deal. And a protest called "No Killer Robots, No AI Surveillance" is scheduled outside OpenAI's San Francisco headquarters today, March 4. This story is not over. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## The Pentagon Used Claude AI in the Iran Strikes. Hours Earlier, Trump Banned It Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-03 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Pentagon Used Claude AI in Iran Strikes Hours After Trump Banned It Meta Description: The US military used Anthropic's Claude AI for target identification during Iran strikes, hours after Trump ordered a ban. Here's the full story. Tags: ClaudeBot, February 2026, Pentagon, Iran Strikes Tag URLs: ClaudeBot (https://www.writtenlyhub.com/news/tag/claudebot), February 2026 (https://www.writtenlyhub.com/news/tag/february-2026), Pentagon (https://www.writtenlyhub.com/news/tag/pentagon), Iran Strikes (https://www.writtenlyhub.com/news/tag/iran-strikes) URL: https://www.writtenlyhub.com/news/pentagon-claude-ai-iran-strikes-anthropic-ban **Key Takeaways:** - US Central Command used Anthropic's Claude AI for intelligence assessments and target identification during the February 28 Iran strikes - Trump ordered all federal agencies to stop using Anthropic's technology just hours before the operation launched - Anthropic had refused Pentagon demands to remove safeguards against mass surveillance and autonomous weapons - The Pentagon designated Anthropic a "supply chain risk," a label normally reserved for Chinese and Russian companies - OpenAI signed a replacement deal for classified military AI within hours of the Anthropic ban ![Timeline showing Trump's ban on Anthropic's Claude AI and the Pentagon's use of Claude during Iran strikes hours later on February 28 2026](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/anthropic-1772535555007-original.jpg) On February 28 and March 1, 2026, the US and Israel launched strikes across Iran. Dozens of targets were hit. Iran's Supreme Leader Ali Khamenei was killed. Hours earlier, President Trump had ordered every federal agency to immediately stop using Anthropic's technology. The Wall Street Journal reported that US Central Command used Claude anyway. For intelligence assessments. For target identification. For simulating battle scenarios. The same AI tool Trump just banned was running inside the operation he just ordered. ## **How did this happen?** The conflict between Anthropic and the Pentagon had been building for weeks. It started after Claude was reportedly used in the January 2026 operation that captured Venezuelan President Nicolas Maduro. Anthropic asked its partner Palantir whether Claude had been used in the operation where shots were fired. The Pentagon viewed that inquiry as an attempt to control military operations after the fact. Defense Secretary Pete Hegseth then gave Anthropic a deadline: allow unrestricted use of Claude for all lawful military purposes, or face consequences. CEO Dario Amodei refused. He said Anthropic would not remove safeguards designed to prevent mass surveillance of Americans or autonomous weapons that fire without human involvement. Hegseth's response was severe. He designated Anthropic a "supply chain risk to national security," a classification previously used only against companies from adversarial nations like Huawei. That designation bans military contractors from working with Anthropic. ## **The AI industry picked sides fast** Within hours of the ban, OpenAI announced a replacement deal. Co-founder Sam Altman said the agreement included "more guardrails than any previous deal for classified AI deployments." Elon Musk's xAI also signed an agreement to let the military use Grok in classified systems. But the transition will not be clean. Defense officials told Axios it would be a "huge pain" to disentangle Claude from military systems. Military and AI experts say fully replacing Claude across all operations could take months. Meanwhile, over 100 employees from Google and OpenAI jointly demanded "red lines" in Pentagon AI contracts, echoing Anthropic's position on autonomous weapons and surveillance. ## **Why content marketers should care about this** This story might seem distant from SEO and content strategy. It is not. Anthropic makes the AI tools that millions of marketers use every day. Claude powers content workflows, research, and analysis for agencies and in-house teams worldwide. The company's stance on AI ethics directly affects the trust people place in its products. The question of what AI companies will and will not allow their technology to do is no longer theoretical. It played out in real time, during a real military operation, with real consequences. For marketers who rely on AI tools, this is a reminder to understand the companies behind the technology. Their values, their policies, and their willingness to draw lines will shape the tools you depend on. Anthropic said it will challenge the supply chain risk designation in court. How that case unfolds could set the precedent for how every AI company interacts with government going forward. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Anthropic Now Has Three Separate Crawlers. Your Robots.txt Needs a Rethink Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-03 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Anthropic Now Has 3 Separate Crawlers. Your Robots.txt Needs a Rethink Meta Description: Anthropic split its AI crawlers into ClaudeBot, Claude-User, and Claude-SearchBot. Blocking one no longer blocks the others. Here's what to do. Tags: OpenAI, AnthropicSeparate Crawlers, ClaudeBot, AI Training Tag URLs: OpenAI (https://www.writtenlyhub.com/news/tag/openai), AnthropicSeparate Crawlers (https://www.writtenlyhub.com/news/tag/anthropicseparate-crawlers), ClaudeBot (https://www.writtenlyhub.com/news/tag/claudebot), AI Training (https://www.writtenlyhub.com/news/tag/ai-training) URL: https://www.writtenlyhub.com/news/anthropic-claude-crawlers-robots-txt **Key Takeaways:** - Anthropic updated its crawler documentation to list three distinct bots: ClaudeBot, Claude-User, and Claude-SearchBot - Each bot has its own robots.txt user-agent string and its own blocking consequences - Blocking ClaudeBot stops AI training but does not block Claude from citing your content in search - The old "block all AI crawlers" approach no longer works as a one-size solution - OpenAI made a similar split in late 2024, and the pattern is becoming an industry standard ![Infographic showing Anthropic's three separate Claude crawlers and their different functions for AI training, user queries, and search indexing](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/claude-1772535320575-original.jpg) If you blocked ClaudeBot last year and thought you were done, you were wrong. Anthropic updated its crawler documentation on February 20 with a formal breakdown of three separate web crawlers. Each serves a different purpose. Each has its own robots.txt user-agent. And blocking one does not block the others. ## **Three bots, three different jobs** **ClaudeBot** collects web content for AI model training. This is the one most publishers blocked in 2024. If you block it, Anthropic says your future content gets excluded from training datasets. **Claude-User** fetches pages when someone asks Claude a question that requires accessing a website. This is the real-time browsing bot. Block it, and your site will not appear when Claude users ask questions. **Claude-SearchBot** indexes content for search results. Blocking it means your pages may not surface in Claude-powered search. Anthropic warns this "may reduce your site's visibility and accuracy in user search results." Each requires a separate robots.txt entry. If you want to block all three, you need three disallow rules. If you only want to block training while keeping search visibility, you block ClaudeBot and leave the other two alone. ## **Why this matters for your website right now** This mirrors what OpenAI did in late 2024 when it separated GPTBot, OAI-SearchBot, and ChatGPT-User. The industry is moving toward a model where every AI company runs multiple bots with different purposes. The data backs up why this matters. Hostinger's analysis of 66.7 billion bot requests showed OpenAI's search crawler coverage grew from 4.7% to over 55% of sites sampled. Meanwhile, its training crawler coverage dropped from 84% to 12%. Publishers are actively choosing to allow search bots while blocking training bots. The same logic now applies to Anthropic. You can protect your content from AI training while still appearing in AI-powered search results. But only if you update your robots.txt to handle each bot separately. ## **What publishers should do this week** The copy-paste blocklists that spread across SEO forums in 2024 need an audit. Here is what to check: - Open your robots.txt file - Look for any blanket disallow rules targeting ClaudeBot or anthropic-ai - Decide per bot: do you want to block training (ClaudeBot), user queries (Claude-User), search indexing (Claude-SearchBot), or some combination? - Add separate directives for each bot you want to block - Repeat this exercise for OpenAI's bots if you have not already Anthropic also notes that IP-based blocking is unreliable because its crawlers run on public cloud providers. Robots.txt is the only dependable method. AI search visibility is becoming a real traffic source. The decision to block or allow is no longer binary. It is three separate decisions, and each one carries different consequences. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Bing Just Made GEO an Official Part of Its Webmaster Guidelines Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-02 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Bing Adds GEO to Its Webmaster Guidelines. AI Search SEO Is Official Meta Description: Microsoft just made Generative Engine Optimization official policy in Bing's webmaster guidelines. Here's what changed and why it matters for your SEO. Tags: Microsoft, B ing, GEO Official, Webmaster Tag URLs: Microsoft (https://www.writtenlyhub.com/news/tag/microsoft), B ing (https://www.writtenlyhub.com/news/tag/b-ing), GEO Official (https://www.writtenlyhub.com/news/tag/geo-official), Webmaster (https://www.writtenlyhub.com/news/tag/webmaster) URL: https://www.writtenlyhub.com/news/bing-geo-webmaster-guidelines-ai-search **Key Takeaways:** - Microsoft rewrote the Bing Webmaster Guidelines to include Generative Engine Optimization (GEO) as a formal concept - The guidelines now explain how each robots meta directive (NOARCHIVE, NOCACHE, NOSNIPPET) affects Copilot AI answers separately - Bing also softened its position on AI-generated content, dropping the old blanket warning - This is the first time any major search engine has written GEO into official policy - Google has not published a similar directive-level breakdown for AI Overviews ![Bing Webmaster Guidelines showing GEO as official optimization category alongside robots meta directive controls for AI search](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/geo-optimization-1772442192132-original.jpg) GEO is no longer a buzzword. It is now official Bing policy. On February 27, Microsoft quietly rewrote its Bing Webmaster Guidelines. The previous version covered how Bing indexes and ranks websites. The new version goes further. It now covers how your content appears inside Copilot's AI-generated answers. The rewrite treats "grounding results and citations" as a separate eligibility outcome alongside traditional rankings. That is new. ## **What actually changed in the guidelines** The biggest addition is GEO as a named optimization category. Microsoft defines it as focused on making content eligible for grounding and reference in AI responses. The guidelines note that GEO does not guarantee citations, just as SEO does not guarantee rankings. Then there are the meta directive changes. Previously, Bing covered robots meta tags in general terms. Now every directive gets its own explanation for how it affects AI experiences: - NOARCHIVE prevents your content from being used in Copilot responses and grounding results - NOCACHE limits Copilot to using only the URL, title, and snippet from your page - DATA-NOSNIPPET and NOSNIPPET can restrict citation quality - A data-snippet attribute lets you specify what text Bing can display or cite If you use NOCACHE on pages you want Copilot to cite, Bing recommends against it. Richer content access means richer citations. ## **Bing quietly changed its stance on AI content too** The old guidelines had a blunt warning about "machine-generated content." That language is gone. The new version takes a softer position. It focuses on whether content adds value, not how it was produced. This follows the same direction Google has taken, but Bing has now written it into the actual guidelines rather than just saying it in blog posts and interviews. ## **Why this matters more than it looks** Google says AI Overviews and AI Mode follow standard preview controls like nosnippet and max-snippet. But Google has not published a Bing-style breakdown showing how each tag affects AI-generated answers specifically. Microsoft did this first. And it connects directly to the AI Performance dashboard it launched in Bing Webmaster Tools two weeks earlier, which tracks how often your pages get cited in AI-generated answers. For SEOs and content marketers, the signal is clear. Optimizing for AI search is now a documented, measurable practice. Not a theory. Not a side project. Bing put it in the rules. If you manage a website, open your robots.txt and meta directives today. Check whether your current setup accidentally blocks your content from appearing in AI answers. That might be costing you visibility you did not know you were losing. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## AI Misinformation Is Flooding Social Media During the Iran-Israel Conflict Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-03-02 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: AI Misinformation Floods Social Media During Iran-Israel Conflict Meta Description: AI-generated fake videos and images are flooding X, TikTok, and Instagram during the Iran-Israel war. Here's what it means for brand safety and content trust. Tags: AI Misinformation, Social Media\, Iran-Israel, Marketing Tag URLs: AI Misinformation (https://www.writtenlyhub.com/news/tag/ai-misinformation), Social Media\ (https://www.writtenlyhub.com/news/tag/social-media), Iran-Israel (https://www.writtenlyhub.com/news/tag/iran-israel), Marketing (https://www.writtenlyhub.com/news/tag/marketing) URL: https://www.writtenlyhub.com/news/ai-misinformation-iran-israel-brand-safety **Key Takeaways:** - AI-generated fake videos of the Iran-Israel strikes went viral within hours, reaching millions of views across X, TikTok, and Instagram - Researchers flagged fabricated footage of destroyed cities, downed fighter jets, and protests that never happened - Brands face urgent brand safety risks as ads appear next to unverified war content - Keyword exclusion lists alone can no longer protect ad placements during fast-moving geopolitical events - Content marketers who invest in verified, trustworthy content will benefit as audience trust erodes elsewhere ![Social media feed showing AI-generated misinformation during the Iran-Israel conflict with brand safety warning labels](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/ai-misinformation-1772441831635-original.jpg) Within hours of the US and Israeli strikes on Iran on February 28, social media platforms were overwhelmed with fake content. AI-generated videos, recycled footage from older conflicts, and fabricated images flooded X, TikTok, and Instagram. NPR reported that the internet was awash with unverified strike videos, many viewed millions of times before any fact-checking caught up. ## **This is the first full-scale AI misinformation war** The European Digital Media Observatory (EDMO) had already flagged the Iran-Israel conflict as the first where generative AI played a central role in shaping public perception. During the 2025 escalation, researchers detected AI-generated scenes of a destroyed Tel Aviv, fake downed F-35 jets, and fabricated protest footage. That pattern repeated this weekend, only faster and at greater scale. HonestReporting documented a wave of viral posts on March 1 that spread conspiracy theories, misattributed footage, and false claims about the conflict. Many posts gained hundreds of thousands of likes before corrections appeared. ## **What this means for brands and advertisers** For marketers running paid campaigns, the risk is immediate. Ads placed through programmatic channels can end up next to graphic war content, conspiracy threads, or AI-generated misinformation. The Brand Safety Institute warned in a recent report that traditional keyword blocklists are failing during conflicts because: - Misinformation spreads faster than blocklist updates - AI-generated content bypasses standard detection tools - Platform moderation cannot keep pace with the volume A DoubleVerify study found that 64% of global consumers say the content near an ad affects how they perceive the brand. During a conflict like this, the stakes multiply. ## **What content marketers should do now** Brands with active ad campaigns should audit placements immediately, especially on X and programmatic display networks. Tightening brand safety controls through tools like IAS, DoubleVerify, or platform-native controls is a starting point. But the bigger takeaway is about organic content. As trust in social media erodes further, audiences are actively looking for reliable sources. Content that demonstrates expertise, cites verified sources, and avoids sensationalism will stand out. Google's E-E-A-T framework was built for exactly this kind of environment. Brands that publish fact-checked, well-sourced content are better positioned for both search visibility and audience trust. The misinformation problem is not going away. If anything, every major geopolitical event from here on will come with a wave of AI-generated fakes. Marketers who treat content credibility as a competitive advantage, not just a checkbox, will be the ones audiences return to. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## India's Ad Market Hits ₹1.55 Lakh Crore: Digital Now 60% Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-25 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: India's Ad Market Hits ₹1.55 Lakh Crore: Digital Now 60% Meta Description: PMAR 2026 reveals India's ad market reached ₹1.55 lakh crore. Digital commands 60% share. Quick commerce grew 202%. Here's where budgets are moving. Tags: India's Ad Market, ₹1.55 Lakh Crore, Linear TV declined 5% Tag URLs: India's Ad Market (https://www.writtenlyhub.com/news/tag/indias-ad-market), ₹1.55 Lakh Crore (https://www.writtenlyhub.com/news/tag/indian-rupee155-lakh-crore), Linear TV declined 5% (https://www.writtenlyhub.com/news/tag/linear-tv-declined-5percent) URL: https://www.writtenlyhub.com/news/india-advertising-market-2026-pmar-digital **Key Takeaways:** - India's ad market reached ₹1,55,105 crore in 2025 under expanded definition - Digital now accounts for 60% of total ad spend (₹93,156 crore) - Quick commerce advertising grew 202% to ₹4,000 crore - Linear TV declined 5%, but CTV doubled to ₹6,000 crore - Market projected to hit ₹1,74,605 crore in 2026 with digital at 64% ![India advertising market 2026 chart showing 60% digital and 40% traditional split](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/jiohotstar-1771994925307-original.jpg) India's advertising market has crossed a structural threshold. According to the Pitch Madison Advertising Report 2026, [digital media now accounts for 60% of total ad spend](https://www.impactonnet.com/more-from-impact/pmar-2026-preview-digital-now-accounts-for-60-of-indias-rs-155-lakh-crore-ad-market-13454.html#:~:text=Market%20Overview&text=By%20incorporating%20Quick%20Commerce%20and,to%20Rs%201%2C15%2C291%20crore.), up from 46% on legacy measurement. The shift isn't gradual anymore. It's decisive. ## The new market sizing Madison World's report introduces an expanded definition that includes quick commerce advertising and MSME digital spends. Under this framework, India's ad market reached ₹1,55,105 crore in 2025, [growing 12% over 2024](https://www.adgully.com/post/12371/indias-ad-market-to-reach-inr174605-cr-in-2026-madison-report-signals-structural-reset). Digital ad spend hit ₹93,156 crore, up 22% year-over-year. Traditional media declined 1% to ₹61,949 crore. On the legacy definition used in previous years, the [market grew 7% to ₹1,15,291 crore](https://www.medianews4u.com/indias-ad-market-crosses-%E2%82%B91-55-lakh-crore-in-2025-digital-now-60-of-adex-madison-report-2026/) with digital at 46%. The difference reflects where growth is actually happening: in ecosystems that weren't previously counted. ## 3 engines driving growth PMAR 2026 identifies three structural forces reshaping Indian advertising. ### 1\. Large screen evolution (TV + CTV) [Linear TV ad spend fell 5% to ₹32,855 crore](https://adtechtoday.com/pmar-2026-indias-%E2%82%B91-55-lakh-crore-ad-market-is-already-60-digital/). Ad volumes dropped 10%, driven by FMCG budget cuts and smaller advertisers exiting. But when connected TV is included, "large screen" advertising grew 4% to ₹38,855 crore. CTV alone doubled to ₹6,000 crore in 2025. For 2026, [Madison projects large screen to reach ₹40,855 crore](https://www.adgully.com/date/18-02-2026), with CTV hitting ₹8,000 crore even as linear TV stays flat. Video budgets aren't leaving television. They're redistributing toward CTV and premium sports properties. ### 2\. Quick commerce and retail media E-commerce and retail media advertising reached [₹10,257 crore in 2025](https://www.adgully.com/post/12371/indias-ad-market-to-reach-inr174605-cr-in-2026-madison-report-signals-structural-reset), growing 27% year-over-year. Quick commerce advertising exploded. Platforms like Blinkit, Zepto, and Swiggy Instamart scaled from ₹1,325 crore to ₹4,000 crore, a 202% jump. Madison projects quick commerce ad spend to hit ₹6,000 crore in 2026, up 50%. Together, retail media and quick commerce form what the report calls a "media-to-money" engine, where advertising directly connects to transactions. ### 3\. MSME digital adoption MSME digital advertising reached [₹35,814 crore in 2025, up 21%](https://www.medianews4u.com/indias-ad-market-crosses-%E2%82%B91-55-lakh-crore-in-2025-digital-now-60-of-adex-madison-report-2026/). Madison projects it to hit ₹42,976 crore in 2026. These small and mid-sized businesses now represent 38% of core digital ad spend. Collectively, they're almost as large as linear TV or print as standalone media. India's digital ad growth is no longer driven solely by large brands. Millions of smaller businesses are adopting performance-led marketing. ## What the projections show Madison forecasts India's ad market to reach ₹1,74,605 crore in 2026, implying 12-13% growth. Digital's share is expected to climb to 64%. A separate WPP Media report projects the market at [₹2.01 lakh crore](https://www.storyboard18.com/advertising/indias-ad-market-to-hit-rs-2-01-lakh-crore-digital-dominates-with-68-share-89985.htm#google_vignette) using different methodology, with digital at 68%. Both agree on the direction: digital dominance will accelerate. ## What this means for marketers The data suggests several planning considerations: - **CTV deserves dedicated strategy:** With [₹8,000 crore projected for 2026](https://www.thecurrent.com/streaming-india-fmcg-marketers-television-longer-sacred-ctv), connected TV is no longer experimental - **Quick commerce is a media channel now:** Brands should evaluate Blinkit, Zepto, and Swiggy as advertising platforms, not just sales channels - **Linear TV still delivers scale:** Premium sports and impact properties remain effective for mass reach - **MSME competition is increasing:** Smaller advertisers are buying the same digital inventory as larger brands The traditional-to-digital shift is complete. The next phase is about which digital channels win. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## JioHotstar and Star Sports: Inside India's Biggest Sports Advertising Platform Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-25 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: JioHotstar and Star Sports: Inside India's Biggest Ad Platform Meta Description: JioHotstar Star Sports advertising is being reshaped after JioStar delivered 14.7B minutes on opening day. Learn what this means for advertisers. Tags: T20 World Cup 2026, JioHotstar, Star Sports Tag URLs: T20 World Cup 2026 (https://www.writtenlyhub.com/news/tag/t20-world-cup-2026), JioHotstar (https://www.writtenlyhub.com/news/tag/jiohotstar), Star Sports (https://www.writtenlyhub.com/news/tag/star-sports) URL: https://www.writtenlyhub.com/news/jiohotstar-star-sports-advertising-platform **Key Takeaways:** - T20 World Cup 2026 opening day hit 14.7 billion minutes of consumption, up 59% from 2024 - JioHotstar reached 101.9 million users on day one, an 81% increase - Quarterly revenue hit $883 million with 450 million monthly active users - Coverage spans 9 languages with features like MaxView and Indian Sign Language - Sponsors include Thums Up, OpenAI, Emirates, Hyundai, and Google Pixel ![JioHotstar T20 World Cup 2026 live streaming interface on mobile device](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/jiohotstar-1771994305936-original.jpg) JioStar has become India's dominant force in sports broadcasting. The [merged entity of Disney's Star India and Reliance's Viacom18](https://www.cnbc.com/2024/08/28/disney-reliance-overcome-concerns-to-win-approval-for-india-merger.html) controls cricket rights, streaming infrastructure, and advertising inventory at a scale no competitor can match. The T20 World Cup 2026 is proving just how powerful that position has become. ## The viewership numbers Opening day of the tournament set records across both platforms. Total consumption reached [14.7 billion minutes across JioHotstar and Star Sports](https://t20worldcup2026.com/opening-day-viewership-record-jiostar/#google_vignette), a 59% increase over the 2024 edition. JioHotstar alone hit 101.9 million users, up 81% from the previous year. India's opening match against the USA drove TV ratings up 41% and digital reach up 98% compared to the 2024 tournament opener against Ireland. > "JioStar's expansive presentation in nine languages coupled with exciting matches have kept fans engaged right since the first match," said Ishan Chatterjee, CEO of Sports at JioStar. The platform averaged [450 million monthly active users in Q4 2025](https://pressroom.in/reliance-jiostar-reports-historic-%E2%82%B98010-crore-revenue/), generating quarterly revenue of ₹8,010 crore ($883 million). ## How the advertising ecosystem works JioStar operates a tiered sponsorship structure across broadcast and streaming. **Television (Star Sports):** - Co-powered partners: Emirates - Associate broadcast partners: Birla Opus, Sting Energy, Rapido, Mahindra Auto, Kamla Pasand **Digital (JioHotstar):** - Co-presenting partners: Google Pixel - Co-powered partners: Hyundai (on CTV) - Associate streaming partners: Britannia, Moneyview, General Insurance Council The rate structure favors scale. Co-presenting sponsorship costs ₹90 crore on TV and ₹140 crore on digital (mobile + CTV combined). Smaller brands can access associate packages starting around ₹11-15 crore. OpenAI is listed among the broadcast partners, reflecting the AI industry's interest in reaching Indian consumers through cricket. ## The hybrid TV-digital strategy What makes JioStar unusual is its control over both traditional broadcast and streaming. This allows advertisers to plan unified campaigns across screens. > "Such massive engagement creates a powerful ecosystem that ensures our partners and stakeholders derive the maximum value, reaching a diverse, engaged audience at an unmatched scale," said Chatterjee. Key platform features for advertisers: - **MaxView:** Enhanced viewing experience on mobile and Hindi broadcasts - **Multi-language coverage:** Commentary in 9 languages including regional markets - **Indian Sign Language:** Available for India games and knockout matches - **CTV targeting:** Connected TV inventory allows premium household targeting Linear TV remains powerful. The India-Pakistan match delivered a 71% increase in TV ratings, becoming the highest-rated India-Pakistan T20 since 2021. But digital is closing the gap. CTV viewership for that match was [2.4 times higher than the 2024 edition](https://www.deloitte.com/us/en/insights/industry/technology/digital-media-trends-consumption-habits-survey/2025.html). ## What advertisers should consider JioStar's position creates opportunities and challenges. - **The opportunity:** A single media partner can deliver broadcast reach, digital targeting, and regional language coverage. Campaign planning becomes simpler when one entity controls everything. - **The challenge:** Rates are high and inventory is competitive. Brands need to book early and commit significant budgets to secure premium positions. For brands entering sports advertising in India, the T20 World Cup offers proof of scale. Whether that scale justifies the investment depends on campaign objectives and audience alignment. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google Gemini's T20 World Cup Campaign Targets Cricket Fans Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-24 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google Gemini's T20 World Cup Campaign Targets Cricket Fans Meta Description: Google Gemini T20 World Cup campaign names Gemini as its AI fan companion, featuring Ravi Shastri and an AI avatar contest. Here's what brands can learn. Tags: T20 World Cup, Google Gemini's T20 World Cup, Explore Cricket, Gemini's T20 Tag URLs: T20 World Cup (https://www.writtenlyhub.com/news/tag/t20-world-cup), Google Gemini's T20 World Cup (https://www.writtenlyhub.com/news/tag/google-geminis-t20-world-cup), Explore Cricket (https://www.writtenlyhub.com/news/tag/explore-cricket), Gemini's T20 (https://www.writtenlyhub.com/news/tag/geminis-t20) URL: https://www.writtenlyhub.com/news/google-gemini-t20-world-cup-campaign **Key Takeaways:** - Google Gemini is the official AI fan companion for the T20 World Cup 2026 - The Gemini app now features a dedicated "Explore Cricket" tab with match insights - Contest invites fans to create AI avatars for a chance to win stadium tickets - Campaign features Ravi Shastri, Jemimah Rodrigues, and Farah Khan as judges - Google Pixel is the tournament's official smartphone partner ![Google Gemini app Explore Cricket tab for T20 World Cup 2026 campaign](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/gemini-t20-world-cup-1771949314832-original.jpg) Google is making a calculated bet on cricket. The tech giant partnered with the ICC to name [Gemini as the official AI fan companion](https://www.icc-cricket.com/media-releases/icc-google-partner-for-the-first-ever-ai-powered-icc-men-s-t20-world-cup-fuelled-by-gemini-pixel) for the T20 World Cup 2026, marking a significant push into India's cricket-obsessed consumer market. ## How the partnership works The deal positions both Gemini and Google Pixel at the center of fan engagement throughout the tournament. The Gemini app launched a dedicated "Explore Cricket" tab on its home screen. Fans can access match facts, player statistics, and AI-generated insights directly within the app. New content refreshes weekly to keep users engaged across the tournament's 55 matches. Features include explanations for complex rules like the DLS system, ICC T20 World Cup quizzes, and interactive games like "Guess the Player." > "This partnership brings together two global organisations united by consumer focus, scale, purpose and innovation," said ICC Chief Executive Sanjog Gupta. ## The campaign that's running Google's flagship activation is the ["Craziest Fan Kaun" contest](https://www.fonearena.com/blog/474915/icc-google-mens-t20-world-cup-2026.html). Fans use Gemini's image generation capabilities to create custom AI avatars of themselves as cricket superfans. Winners get an all-expenses-paid trip to watch a World Cup match while wearing their AI-designed looks. The campaign film brings together an unusual trio: cricket commentator Ravi Shastri, Women's T20 World Cup champion Jemimah Rodrigues, and director Farah Khan. In the ad, Rodrigues and Khan critique Shastri's avatar, telling him to "go crazier." Google also ran a Times of India jacket takeover on the tournament's opening day. The print creative featured a smartphone displaying the Gemini interface with the line: "The one place for all your plays." > "We were thrilled to witness firsthand during the ICC Women's Cricket World Cup 2025 how AI can enhance and delight the fan experience," said Shekar Khosla, VP Marketing at Google India. ## Why this campaign matters for marketers Google's approach offers a blueprint for AI-product marketing in India. - **Cricket provides cultural permission:** Rather than explaining AI features in abstract terms, the campaign connects Gemini to something Indians already understand and love. The cricket context makes AI feel accessible rather than technical. - **Celebrity choice is deliberate:** Jemimah Rodrigues represents the rising profile of women's cricket after [India's 2025 World Cup win.](https://sports.ndtv.com/cricket/womens-world-cup-2025-hero-jemimah-rodrigues-reveals-her-superpower-at-ndtv-indian-of-the-year-9855626) Farah Khan recalls her iconic IPL campaigns. Ravi Shastri brings credibility with older cricket fans. - **The competition creates user-generated content:** By asking fans to create and share AI avatars, Google generates organic reach while training users on Gemini's capabilities. - **Integration is subtle:** The "Explore Cricket" tab adds utility without disrupting core app functionality. Users can discover AI features naturally while following matches. - The partnership comes as AI tools compete aggressively for Indian users. With 100 million weekly ChatGPT users in India, Google needs to demonstrate why Gemini deserves attention. Cricket gives them the stage to make that case. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## India AI Impact Summit 2026: What Marketers Need to Know Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-24 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: India AI Impact Summit 2026: What Marketers Need to Know Meta Description: Sam Altman revealed 100M weekly ChatGPT users in India. $200B+ in AI investments announced. Here's what the summit means for digital marketers. Tags: India AI Impact Summit 2026, AI Impact Summit 2026, $50 billion for AI, Summit 2026 in Delhi Tag URLs: India AI Impact Summit 2026 (https://www.writtenlyhub.com/news/tag/india-ai-impact-summit-2026), AI Impact Summit 2026 (https://www.writtenlyhub.com/news/tag/ai-impact-summit-2026), $50 billion for AI (https://www.writtenlyhub.com/news/tag/dollar50-billion-for-ai), Summit 2026 in Delhi (https://www.writtenlyhub.com/news/tag/summit-2026-in-delhi) URL: https://www.writtenlyhub.com/news/india-ai-impact-summit-2026-marketers **Key Takeaways:** - India has 100 million weekly active ChatGPT users, second only to the US - Microsoft committed $50 billion for AI in the Global South, Google announced $15 billion for data centers - Anthropic partnered with Infosys to deploy Claude AI across Indian enterprises - JioHotstar will integrate ChatGPT for conversational content discovery - Government-backed BharatGen launched Param 2, supporting 22 Indian languages ![India AI Impact Summit 2026 stage with global tech leaders in New Delhi](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/ai-summit-252-1771910362166-original.jpg) The India AI Impact Summit wrapped up this week in New Delhi, bringing together tech CEOs, world leaders, and over 250,000 visitors. For marketers, the five-day event signaled a clear shift: AI infrastructure is coming to India at scale. ## **India's AI user base is massive** OpenAI CEO Sam Altman dropped a striking number during his keynote. India now has 100 million weekly active ChatGPT users, making it the company's second-largest market after the United States. Indian students represent the largest student user base for ChatGPT globally. Anthropic confirmed similar traction. India is Claude's second-largest market as well. The competition for Indian users between AI labs is intensifying. > "India has all the ingredients to lead in AI," Altman wrote in the Times of India ahead of the summit. ## **Billions in infrastructure investments** The summit attracted over $200 billion in combined AI investment commitments. The largest announcements came from US tech giants and Indian conglomerates. **Major investments announced:** - Adani Group: $100 billion for renewable energy data centers by 2035 - Microsoft: $50 billion for AI infrastructure across the Global South - Google: $15 billion for AI data center hub in Visakhapatnam - Yotta Data Services: $2 billion for Nvidia Blackwell GPU clusters - TCS: AI data centers starting at 100 MW, scaling to 1 GW OpenAI will be the first anchor tenant at Tata Consultancy Services' new HyperVault data center. The partnership includes deploying ChatGPT Enterprise across Tata Group subsidiaries. ## **What this means for Indian marketers** Several announcements have direct implications for marketing teams. **JioHotstar integrates ChatGPT:** The streaming platform will use ChatGPT for conversational content discovery. Users can search for shows and movies using natural language, similar to asking a friend for recommendations. **Anthropic partners with Infosys:** The collaboration will deploy Claude models across Indian enterprises, starting with telecommunications. For large marketing organizations, this could mean faster AI adoption through trusted IT partners. **Sovereign AI models arrive:** Government-backed BharatGen launched Param 2, a 17-billion-parameter model supporting 22 Indian languages. Gnani.ai unveiled Vachana, a text-to-speech system that clones voices across 12 regional languages using just 10 seconds of audio. > "Union Minister Ashwini Vaishnaw outlined India's 'whole-of-nation' AI strategy, describing plans to build a frugal, sovereign and scalable AI ecosystem," according to summit reports. ## **The marketing implications are real** With 100 million ChatGPT users, AI tools are no longer experimental for Indian consumers. They're mainstream. For marketers, this creates both opportunities and pressures: - **Content discovery is changing:** If JioHotstar's ChatGPT integration works, expect other platforms to follow. Search behavior may shift toward conversational queries. - **Regional language AI is improving:** Param 2 and similar models make it easier to create content in Hindi, Tamil, Telugu, and other languages without translation. - **Enterprise AI is accelerating:** Infosys and TCS partnerships mean AI tools will spread faster through corporate India. The summit also drew heads of state from France, Brazil, and the UAE, along with tech leaders like Sundar Pichai, Dario Amodei, and Demis Hassabis. India's AI moment is no longer theoretical. The infrastructure is being built now. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## T20 World Cup 2026 Advertising: How Brands Are Winning Big Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-23 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: T20 World Cup 2026 Advertising: How Brands Are Winning Big Meta Description: India vs Pakistan drew 163M viewers. Ad rates jumped 25%. Here's how brands like Hyundai, Google, and Emirates are capitalizing on cricket's biggest stage. Tags: T20 World Cup 2026, India vs Pakistan match, World Cup 2026, JioStar, T20 World Cup Tag URLs: T20 World Cup 2026 (https://www.writtenlyhub.com/news/tag/t20-world-cup-2026), India vs Pakistan match (https://www.writtenlyhub.com/news/tag/india-vs-pakistan-match), World Cup 2026 (https://www.writtenlyhub.com/news/tag/world-cup-2026), JioStar (https://www.writtenlyhub.com/news/tag/jiostar), T20 World Cup (https://www.writtenlyhub.com/news/tag/t20-world-cup) URL: https://www.writtenlyhub.com/news/t20-world-cup-2026-advertising-brands **Key Takeaways:** - India vs Pakistan match reached 163 million digital viewers, breaking all ICC T20 records - Ad rates surged 25% for marquee matches, with 10-second TV slots priced at ₹30-40 lakh - JioStar raised sponsorship rates by 45% on TV and 75% on digital compared to 2024 - Hyundai launched AI-powered contextual ads that trigger during high-excitement moments - Quick commerce and fintech brands are emerging as major cricket advertisers ![T20 World Cup 2026 stadium showing brand advertising during India cricket match](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/t20-world-cup-242-1771910114314-original.jpg) Cricket advertising in India just hit a new peak. The ongoing T20 World Cup 2026 has become one of the most commercially valuable sports properties ever, with brands spending billions to reach fans across television and streaming platforms. ## **Record viewership is driving ad demand** The India vs Pakistan clash on February 15 set multiple records. JioStar reported 163 million digital viewers on JioHotstar alone, making it the most-watched ICC T20 match in history. That number surpassed even the 2024 T20 World Cup final between India and South Africa. Total watch time hit 20 billion minutes across all screens. Linear TV ratings jumped 71% compared to the previous India-Pakistan T20 contest. Connected TV viewership was 2.4 times higher than the 2024 edition. For advertisers, these numbers translate to unprecedented reach. ## **What brands are paying for premium slots** Ad rates tell the story of demand. For the India-Pakistan match, 10-second TV slots on Star Sports were priced between ₹30-40 lakh, up from ₹20-25 lakh for other World Cup games. Digital inventory on JioHotstar climbed to ₹15-20 lakh for similar slots. JioStar's official rate card shows the scale of investment required: - Co-presenting sponsorship on TV: ₹90 crore (45% higher than 2024) - Combined digital co-presenting package: ₹140 crore (75% higher than 2024) - Live partnership across TV, mobile, and CTV: ₹230 crore The average spot rate for live TV stands at ₹8.25 lakh per 10 seconds, up 33% from 2024. ## **Which brands are spending big** The sponsor roster reflects the tournament's commercial pull. Major categories include automotive, fintech, FMCG, and tech giants. **Key sponsors on JioStar:** - Thums Up (title sponsor) - Hyundai (co-powered presenter on CTV) - Google Pixel (co-presenting streaming partner) - Emirates (co-powered broadcast partner) - Britannia, Moneyview, OpenAI, Mahindra Auto Hyundai's campaign stands out for its approach. The brand partnered with Shah Rukh Khan for a 360-degree activation called "Deewane India ka Deewana Humsafar." "Cricket in India represents continuity, belief, and aspiration, values that deeply resonate with us at Hyundai," said Tarun Garg, MD & CEO, Hyundai Motor India. The automaker is also running AI-powered contextual ads on connected TV. When a high-excitement moment happens, like a wicket or half-century, the system serves ads in real-time across OTT platforms. ## **What marketers should note** The T20 World Cup offers lessons for brands planning sports campaigns: - **CTV is scaling fast:** Connected TV viewership doubled year-over-year, making it a critical channel for premium audiences - **Digital now rivals TV:** JioHotstar's 101.9 million opening-day reach shows streaming can match broadcast scale - **Fintech is the new advertiser category:** Moneyview and similar platforms are using cricket to drive app downloads - **Regional content matters:** JioStar's coverage in 9 languages expanded reach beyond metro markets The tournament runs through March 8, with the final at Ahmedabad's Narendra Modi Stadium. As India progresses through the Super 8s despite today's loss to South Africa, advertiser interest will only intensify. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Sam Altman: India Has 100M Weekly ChatGPT Users at AI Summit Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-23 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: India AI Summit 2026 Sees 100M Weekly ChatGPT Users Meta Description: India AI Summit tech investments 2026 spotlight India as ChatGPT’s second-largest market with 100M weekly users and major AI funding announcements. Tags: India AI Summit 2026, Sam Altman, 00M Weekly ChatGPT Users, OpenAI CEO Sam Altman Tag URLs: India AI Summit 2026 (https://www.writtenlyhub.com/news/tag/india-ai-summit-2026), Sam Altman (https://www.writtenlyhub.com/news/tag/sam-altman), 00M Weekly ChatGPT Users (https://www.writtenlyhub.com/news/tag/00m-weekly-chatgpt-users), OpenAI CEO Sam Altman (https://www.writtenlyhub.com/news/tag/openai-ceo-sam-altman) URL: https://www.writtenlyhub.com/news/sam-altman-india-100-million-chatgpt-users-ai-summit-2026 **Key Takeaways:** - OpenAI CEO Sam Altman confirmed India has 100 million weekly active ChatGPT users, second only to the US - Indian students represent the largest global cohort using ChatGPT for learning - Blackstone acquired majority stake in Neysa with $600M raise to deploy 20,000+ GPUs in India - Microsoft committed $17.5 billion for AI infrastructure over 2026-2029, its largest Asia investment - Over 80% of new Global Capability Centers in India are now AI-led operations ![Sam Altman OpenAI CEO at India AI Impact Summit 2026 announcing 100 million weekly ChatGPT users in India](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/sam-altman-1771827984252-original.jpg) OpenAI's CEO just confirmed what many suspected. India is ChatGPT's second-largest market globally. Sam Altman shared the data at the India AI Impact Summit 2026 in New Delhi. The country now has over [100 million weekly active ChatGPT users,](https://techcrunch.com/2026/02/15/india-has-100m-weekly-active-chatgpt-users-sam-altman-says/) trailing only the United States. ## Indian students lead global ChatGPT adoption Here's the more interesting detail from Altman's remarks. Indian students represent the platform's largest user group worldwide. They're using ChatGPT for learning at a scale that no other country matches. This user behavior signals something important. India isn't just consuming AI passively. The next generation of workers is building AI into their skill sets before entering the workforce. OpenAI recently opened a New Delhi office and created a dedicated India sales team. The company is also offering lower-cost pricing tailored to India's market. ## Why tech giants are betting billions on India's AI future The summit attracted every major AI company because India offers three things they need: **Scale.** Over one billion internet users. Hundreds of millions of smartphone users. A vast base of potential customers. **Talent.** More than 70,000 engineers trained across 315 universities. Every major chip company designs products in India. **Market access.** India's tech-forward consumer base provides data and adoption rates that accelerate AI development. The investment numbers announced around the summit reflect this: - Microsoft: $17.5 billion over 2026-2029 for AI infrastructure - Google: $15 billion for an AI hub and data center in Visakhapatnam - Tata Group: $11 billion for an AI innovation city in Maharashtra - Blackstone: $600 million equity in Neysa (plus $600M planned debt raise) ## Blackstone's $600 million bet on Indian AI infrastructure The Neysa deal stands out among private investments. Blackstone acquired a majority stake in the Indian AI cloud startup as part of a [$600 million equity raise.](https://www.blackstone.com/news/press/blackstone-leads-funding-of-over-1-billion-to-neysa-to-work-towards-building-indias-leading-ai-infrastructure-platform/) Teachers' Venture Growth, TVS Capital, 360 ONE Asset, and Nexus Venture Partners joined the round. Neysa plans to raise another $600 million in debt financing. Combined capital will fund deployment of over 20,000 GPUs across India. The move targets a gap in the market. Many Indian companies want domestic AI infrastructure that offers scalable, secure compute without relying on overseas cloud providers. ## Global Capability Centers shift to AI-first operations India's role for multinational tech companies is changing fast. According to ANSR, more than [60% of Global Capability Centers](https://www.cnbc.com/2026/02/16/india-ai-impact-summit-tech-ceos-new-delhi.html) (GCCs) established in the last two years focus on AI, data, digital engineering, or product development. [Over 80% of GCCs](https://www.cnbc.com/2026/02/16/india-ai-impact-summit-tech-ceos-new-delhi.html) expected to launch in the next six to eight months are projected to be AI-led. The shift goes beyond engineering work. Companies are increasingly hiring Chief AI Officers and senior AI leadership from India. The country is moving from cost center to strategic hub. ## What this means for marketing and content professionals Altman's 100 million user number carries practical implications for digital marketers. - **AI tool adoption is mainstream, not emerging.** Your audience in India is already using ChatGPT weekly. Content strategies that ignore AI-assisted consumption miss reality. - **Vernacular AI matters more than ever.** With 100 million users but 22 official languages, there's massive demand for non-English AI experiences. BharatGen's Param2 launch at the same summit signals infrastructure is catching up. - **India's talent pool is AI-native.** Students learning with ChatGPT today become your marketing team members tomorrow. Hiring strategies should account for AI literacy as a baseline skill. - **Data center investments mean faster, cheaper AI access.** Microsoft, Google, and domestic players building local infrastructure will reduce latency and costs. AI-powered marketing tools should become more accessible. The gap between AI leaders and laggards will widen faster in India than most markets. Organizations not integrating AI into their workflows risk falling behind a workforce that grew up with these tools. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## India AI Impact Summit 2026: Key Announcements From Delhi Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-23 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: India AI Impact Summit 2026: Key Announcements From Delhi Meta Description: India hosts the world's largest AI summit with 250,000 visitors, $1.1B VC fund, BharatGen's Param2 launch, and major tech CEO announcements. Full coverage. Tags: India AI Impact Summit 2026, Global South AI summit, AI Impact Summit 2026, Summit 2026 in Delhi Tag URLs: India AI Impact Summit 2026 (https://www.writtenlyhub.com/news/tag/india-ai-impact-summit-2026), Global South AI summit (https://www.writtenlyhub.com/news/tag/global-south-ai-summit), AI Impact Summit 2026 (https://www.writtenlyhub.com/news/tag/ai-impact-summit-2026), Summit 2026 in Delhi (https://www.writtenlyhub.com/news/tag/summit-2026-in-delhi) URL: https://www.writtenlyhub.com/news/india-ai-impact-summit-2026-announcements-delhi **Key Takeaways:** - India hosted the first Global South AI summit with 250,000+ visitors and 20 world leaders at Bharat Mandapam - Government announced $1.1 billion state-backed VC fund for AI and deep-tech startups - BharatGen launched Param2, a 17-billion-parameter model supporting 22 Indian languages - Blackstone acquired majority stake in Neysa with $600 million equity raise for GPU infrastructure - India's first commercial semiconductor production begins this month at Micron's Gujarat facility ![India AI Impact Summit 2026 venue at Bharat Mandapam, New Delhi with global attendees and tech exhibits](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/india-ai-impact-summit-2026-1771827889043-original.jpg) India just hosted the largest AI gathering in history. The [India AI Impact Summit 2026](https://share.google/OHot0VnkyUIIHtGn0) kicked off on February 16 at Bharat Mandapam in New Delhi. Over 250,000 visitors registered for the five-day event running through February 20. ## What makes this summit different from previous editions This is the first global AI summit hosted in the Global South. Previous editions took place in the UK (Bletchley Park, 2023), South Korea (Seoul, 2024), and France (Paris, 2025). India's summit marks a shift from AI safety discussions to practical deployment and measurable outcomes. PM Narendra Modi inaugurated the expo alongside 20 heads of state. French President Emmanuel Macron, Brazil's President Lula da Silva, and ministerial delegations from 45+ countries attended. ## The tech CEO lineup at Bharat Mandapam Silicon Valley showed up in force: - Sam Altman (OpenAI) - Sundar Pichai (Google/Alphabet) - Dario Amodei (Anthropic) - Demis Hassabis (Google DeepMind) - Brad Smith (Microsoft) - Cristiano Amon (Qualcomm) Altman dropped a significant data point during his session. India now has 100 million weekly active ChatGPT users, making it the platform's second-largest market after the US. Indian students represent the largest global cohort using ChatGPT for learning. ## India's $1.1 billion bet on homegrown AI The cabinet [approved a ₹100 billion ($1.1 billion)](https://share.google/8m7AzzMYKlwvZsIlm) state-backed VC fund just ahead of the summit. This fund-of-funds structure will channel government capital through private investors into AI and deep-tech startups. The program targets companies needing longer development timelines and larger capital. The previous 2016 iteration invested ₹255 billion ($2.8 billion) in over 1,370 startups through 145 private funds. New Delhi also doubled the startup classification period to 20 years and raised the revenue threshold for tax benefits to ₹3 billion. ## BharatGen's Param2: India's sovereign AI model goes live The summit's biggest product launch came from BharatGen. Their [Param2 model](https://share.google/pcDDitFeRVoaxqJgy) is a 17-billion-parameter system supporting 22 Indian languages. It's built on a Mixture of Experts (MoE) architecture trained on Indian data. "Most real-world use cases don't need trillion-parameter AI," said Rishi Bal, BharatGen CEO. The model isn't positioned against ChatGPT or Gemini directly. Instead, it targets deployments in governance, healthcare, education, and citizen services where multilingual capability matters. Working applications demonstrated at the summit include: - MahaGPT for Maharashtra's urban development workflows - Medsum for healthcare communication between doctors and patients - Gyan Bharatam for digitizing ancient manuscripts in multiple Indian languages ## Private capital announcements from the summit floor Blackstone led the biggest deal announced at the event. The firm acquired a [majority stake in Indian AI cloud startup Neysa](https://share.google/4kV4aLS82DYnp2RKA) as part of a $600 million equity raise. Teachers' Venture Growth, TVS Capital, 360 ONE Asset, and Nexus Venture Partners joined the round. Neysa plans to raise another $600 million in debt and deploy more than 20,000 GPUs to expand domestic AI infrastructure. Bengaluru-based C2i, which builds power solutions for data centers, raised $15 million in a Series A round led by Peak XV. ## India's semiconductor push reaches production stage MeitY Secretary S. Krishnan confirmed India's first commercial-scale chip production will begin this month. Micron's $2.75 billion assembly and test facility in Gujarat completed successful pilot runs. This marks the first of 10 approved projects under the India Semiconductor Mission. The government is subsidizing AI compute access at ₹65 per GPU hour, compared to global rates of $2-3 per GPU hour. Over 38,000 GPUs are now available through shared infrastructure. ## What this means for marketers and content teams Three implications stand out for digital marketing professionals: **Multilingual AI is finally production-ready.** BharatGen's Param2 and similar models make vernacular content creation scalable. Brands targeting non-English Indian audiences now have infrastructure-level support. **India's AI user base is massive and growing.** Altman's “100 million weekly ChatGPT users” figure confirms India as a critical market for AI tools. Content strategies assuming English-only AI adoption need rethinking. **Domestic infrastructure investment opens new opportunities.** The $1.1 billion VC fund, Microsoft's $17.5 billion commitment, and Google's $15 billion AI hub signal sustained capital flow. Marketing agencies should watch for partnership and service opportunities. The summit continues through February 20, with PM Modi's keynote and the GPAI Council meeting scheduled for the final days. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Top Things to Look Out for in the India AI Summit 2026 and What It Means for Marketers Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-02-20 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: India AI Impact Summit 2026: What Marketers Should Know Meta Description: India AI Impact Summit 2026 united 20+ leaders and 500 AI experts, shifting from theory to deployment, investments, and key signals for marketers. Tags: India AI Summit 2026, Marketers, AI Impact Summit 2026, Summit 2026 in Delhi Tag URLs: India AI Summit 2026 (https://www.writtenlyhub.com/news/tag/india-ai-summit-2026), Marketers (https://www.writtenlyhub.com/news/tag/marketers), AI Impact Summit 2026 (https://www.writtenlyhub.com/news/tag/ai-impact-summit-2026), Summit 2026 in Delhi (https://www.writtenlyhub.com/news/tag/summit-2026-in-delhi) URL: https://www.writtenlyhub.com/news/india-ai-impact-summit-2026 Key Takeaways: - India AI Impact Summit 2026 marked India’s move from AI talk to AI deployment at scale. - AI is being treated as national infrastructure, backed by public funding and firms like Blackstone. - India is prioritizing sovereign AI and reducing foreign dependence. - For marketers, trust, multilingual reach, and real-world impact matter most. ![India AI Impact Summit 2026](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/ai-summit-2026-delhi-commitments-1771676777907-compressed.jpg)India AI Impact Summit 2026 India just hosted the AI Impact Summit 2026 in Delhi, and it was huge. Over 20 heads of state, 500 global AI leaders, and 2.5 lakh participants marked it a success. Here’s what happened at the summit, the potential it unlocks, and what direction it points toward for marketers. ## What’s happening at the India AI Impact Summit 2026 The summit positioned India as a central player in global AI development, particularly as the first large-scale AI gathering hosted in the Global South. Here are the key developments from the event: - Participation from global political leaders, including Emmanuel Macron and Luiz Inácio Lula da Silva. - Presence of major technology figures such as Sundar Pichai, Sam Altman, and Yann LeCun. - UN Secretary-General António Guterres joined discussions on responsible AI governance. - India recorded a [Guinness World Records achievement](https://www.pib.gov.in/PressReleasePage.aspx?PRID=2229876®=3&lang=2) tied to an AI responsibility pledge drive - Autonomous [agri drones](https://www.pib.gov.in/PressNoteDetails.aspx?id=157351&NoteId=157351&ModuleId=3®=3&lang=2) scanning crops for disease (moving from demo to farm deployment). - AI imaging + screening tools showcased for TB, diabetic retinopathy, and some cancers in resource-limited settings. - Humanoid robotics + intelligent manufacturing systems shown for logistics, retail, and smart agriculture. - IIT-K’s SATHEE (AI tutor, doubt solver, adaptive learning + analytics) featured in the [education casebook](https://impact.indiaai.gov.in/events/released-compendium). - Prime Minister Narendra Modi emphasized inclusive AI under the principle _“Sarvajana Hitaya, Sarvajana Sukhaya.”_ - A robotic dog showcased by [Galgotias University](https://timesofindia.indiatimes.com/india/exhibitors-must-not-display-it-secretarys-warning-amid-galgotias-universitys-chinese-robodog-row/articleshow/128511385.cms) was identified as a Chinese-made Unitree Go2. The university vacated its stall following criticism. ## The potential of India’s AI infrastructure and deployment push Beyond speeches and Sam Altman noting that India now has _“100 million weekly active users_” on OpenAI’s platforms, the strongest signal from the India AI Summit 2026 was the scale of infrastructure investment and deployment. **Government-led initiatives:** - ₹10,371 crore allocated under the IndiaAI Mission. - 38,000+ shared-access GPUs onboarded to democratize compute access. - Focus on reducing dependence on foreign AI labs. - Expansion of AI solutions across healthcare and public services. **Private sector acceleration:** - Blackstone acquired a majority stake in Neysa through a [$600M equity round](https://techcrunch.com/2026/02/15/blackstone-backs-neysa-in-up-to-1-2b-financing-as-india-pushes-to-build-domestic-ai-compute/) with further debt expansion planned. - Bengaluru-based C2i raised $15M to build energy solutions for AI data centers. - [AMD partnered with Tata Consultancy Services](https://www.amd.com/en/newsroom/press-releases/2026-2-15-amd-and-tcs-to-bring-state-of-the-art-helios-rac.html) on rack-scale AI infrastructure using the Helios platform. AI in India is evolving into a shared national infrastructure, similar to payments or telecom networks. ## What does this mean for marketers? The 2026 Delhi AI Summit continues to prove that India can’t be an afterthought anymore in the AI sector. As a marketer, your strategy for the upcoming year could revolve around: 1. With AI models built across 22 languages, brands that **go beyond English** will connect deeper and wider. 2. In a space where deepfakes and bias are real concerns, **transparency and responsible AI use** will build long-term brand equity. 3. **Healthcare, agriculture, education, and public services** are where AI is scaling fast, and where real marketing opportunities lie. 4. AI in India is being framed around **inclusion and impact**. Brands that align with that narrative will resonate far more than those chasing automation buzzwords. For marketers trying to understand what AI in India could look like over the next decade, this summit delivered clear direction, practical examples, and strong cues for where the market is headed. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Creator Economy Ad Spend Set to Hit $44 Billion in 2026 as Brands Go All-In Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-17 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Creator Economy Ad Spend Hits $44B in 2026: What Brands Must Know Meta Description: US creator economy ad spend projected to reach $43.9 billion in 2026. IAB data shows 59% of brands increasing budgets while measurement remains the top challenge. Tags: Economy, Creator Ad, $44 Billion, Brands Tag URLs: Economy (https://www.writtenlyhub.com/news/tag/economy), Creator Ad (https://www.writtenlyhub.com/news/tag/creator-ad), $44 Billion (https://www.writtenlyhub.com/news/tag/dollar44-billion), Brands (https://www.writtenlyhub.com/news/tag/brands) URL: https://www.writtenlyhub.com/news/creator-economy-ad-spend-2026-brand-budgets **Key Takeaways:** - US creator economy ad spend projected to reach $43.9 billion in 2026, up 18% from $37.1 billion in 2025 - 59% of brands globally plan to increase influencer marketing budgets this year - Paid amplification of creator content expected to jump 48% to $13.2 billion - Half of marketing leaders still cite ROI measurement as their biggest challenge - 92% of marketers plan to work with both macro and micro-influencers in 2026 ![Creator economy ad spend breakdown showing $43.9 billion projected for 2026 across paid amplification and direct partnerships](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/creator-economy-ad-spend-1771314684722-original.png) Creator marketing just graduated from "nice experiment" to budget line item. The numbers tell the story. US brands will spend $43.9 billion on creator partnerships this year, according to IAB projections. That's nearly double the $29.5 billion spent in 2024. ## Why brands are shifting money into creator content The shift isn't subtle. CMOs are actively pulling budget from legacy channels and redirecting it toward creators. According to recent data, [60% of brand leaders](https://share.google/PfWm2vtTQKrGSvsID) are cutting print advertising investment. Another 50% are reducing linear TV spend. Where's the money going? Straight into creator-driven strategies. The [IAB's 2025 Creator Economy](https://share.google/j5dr6kjVr1jCQhvN8) Ad Spend & Strategy Report shows creator advertising growing four times faster than the broader media industry. Nearly half of all advertisers now classify creators as a "must buy," putting them alongside paid search and social media. ## Paid amplification becomes the real growth driver Here's where the budgets are actually landing in 2026: - **$13.2 billion** on paid amplification of creator content on social media (up 48%) - **$11.6 billion** on direct partnerships with creators (up 21%) - **$11.1 billion** on paid amplification beyond social platforms (up 56%) - **$7.9 billion** on ad adjacencies to creator content (up 33%) The pattern is clear. Brands aren't just paying for posts anymore. They're taking high-performing organic content and scaling it with precision targeting. That combination of creator authenticity and paid media efficiency is driving the fastest growth in the category. ## ROI measurement remains the elephant in the room Here's the tension: brands believe in creator marketing enough to write bigger checks, but not enough to fully commit. The reason? Half of Western European marketing leaders identify ROI measurement as their greatest challenge in influencer marketing. This isn't unique to Europe. Brands everywhere are investing based on instinct, competitive pressure, and anecdotal wins rather than hard performance data. The problem compounds itself. Without reliable attribution, teams can't optimize campaigns in real time. They can't confidently identify which creators, content formats, or platforms drive actual results. ## Micro-influencers win the strategy debate The creator mix is shifting. Big follower counts matter less than they used to. According to [Linqia's 2026 State of Influencer Marketing report](https://share.google/ZPXROUdYjwyJ8sm0m), 92% of marketers plan to work with both macro (100K-500K followers) and micro (5K-100K followers) influencers this year. Only 29% of marketers are prioritizing celebrity partnerships. The reasoning is practical. Micro-influencers deliver higher engagement rates and cost less. They also feel more authentic to audiences who've grown skeptical of polished brand messaging. ## What this means for your 2026 planning The brands that win won't just "do influencer marketing." They'll build systems around it. A few considerations for marketing teams: - **Invest in measurement infrastructure now.** The brands that crack attribution will outpace competitors stuck on vanity metrics. - **Think hybrid compensation.** Performance-based payouts tied to actual conversions are becoming standard. - **Blend creator and affiliate budgets.** The smartest programs treat these as one unified channel, not separate experiments. - **Prioritize long-term partnerships.** One-off posts are giving way to ambassador-style relationships that compound over time. The creator economy is no longer a side project. It's becoming the center of how brands reach consumers who actively ignore traditional advertising. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Perplexity Claims Top Accuracy for Deep Research, Open-Sources New DRACO Benchmark Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-17 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Perplexity Adds Opus 4.5 to Deep Research, Launches DRACO Meta Description: Perplexity DRACO benchmark 2026 showcases Deep Research accuracy with Claude Opus 4.5 and its open-source AI tool. Here’s how it works. Tags: Perplexity, Deep Research, Open Sources, DRACO Tag URLs: Perplexity (https://www.writtenlyhub.com/news/tag/perplexity), Deep Research (https://www.writtenlyhub.com/news/tag/deep-research), Open Sources (https://www.writtenlyhub.com/news/tag/open-sources), DRACO (https://www.writtenlyhub.com/news/tag/draco) URL: https://www.writtenlyhub.com/news/perplexity-deep-research-draco-benchmark-2026 **Key Takeaways:** - Perplexity's Deep Research now runs on Claude Opus 4.5 for Max and Pro users - The upgrade scored 79.5% on Google DeepMind's Deep Search QA leaderboard - New DRACO benchmark evaluates AI research tools across 10 real-world domains - DRACO is fully open-source, with all rubrics and evaluation prompts available on Hugging Face - Deep Research recorded the lowest latency (459.6 seconds) while achieving top accuracy scores ![Perplexity Deep Research interface displaying AI-powered research results with citations and sources](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/perplexity-claims-top-accuracy-1771313306336-original.png) Perplexity wants to set the standard for how AI research tools get measured. And it's putting its own product at the top of that list. ## What changed in Deep Research On February 4, the company announced an upgrade to its Deep Research feature. The tool now [runs on Anthropic's Claude Opus 4.5 model](https://www.anthropic.com/news/claude-opus-4-5), paired with Perplexity's proprietary search engine and sandbox infrastructure. > CEO Aravind Srinivas announced on X that the update "achieved state-of-the-art performance on external and internal benchmarks, beating every other deep research tool on accuracy, usability, and reliability across all verticals." The upgrade is available immediately to Max subscribers ($200/month) and is rolling out to Pro users over the coming days. ## How Perplexity measures "best" Alongside the product update, Perplexity released DRACO, a new open-source benchmark for evaluating AI research agents. [DRACO](https://research.perplexity.ai/articles/evaluating-deep-research-performance-in-the-wild-with-the-draco-benchmark) stands for Deep Research Accuracy, Completeness, and Objectivity. Unlike traditional benchmarks that test isolated skills like trivia recall, DRACO focuses on real-world research tasks. Here's what makes it different: - 100 tasks across 10 domains: Academic, Finance, Law, Medicine, Technology, General Knowledge, UX Design, Personal Assistant, Shopping, and Needle in a Haystack - Each task includes roughly 40 expert-defined evaluation criteria - Tasks are derived from millions of actual production queries submitted to Perplexity - Evaluation uses an LLM-as-judge protocol, fact-checking responses against real data The benchmark and all rubrics are available on Hugging Face. Perplexity says it wants wider adoption to raise the bar for research agents across the industry. ## Performance claims and context According to Perplexity, Deep Research topped the Google DeepMind Deep Search QA leaderboard with [79.5% accuracy.](https://www.latestly.com/socially/technology/perplexity-deep-research-advanced-version-launched-offers-accuracy-and-higher-usage-limits-7301877.html) The company also claims the lowest average latency among competitors at 459.6 seconds. In DRACO evaluations, Perplexity says it outperformed all competitors across every domain, with strongest results in Law, Medicine, and Academic research. > Co-founder and CSO Johnny Ho posted on X: "Proud of the Perplexity team and the deep infrastructural improvements that are powering our Deep Research product." Worth noting: Perplexity created DRACO and is reporting its own performance on it. Independent verification from third parties would strengthen these claims. ## What this means for marketers and researchers Deep Research tools are becoming more relevant for content strategists, competitive analysts, and anyone who needs to synthesize information from multiple sources quickly. A few practical considerations: - Max subscribers get [higher usage limits](https://www.anthropic.com/news/claude-opus-4-5) and consistent Opus 4.5 access - Pro users will see the upgrade roll out gradually - The tool is designed for high-stakes research in finance, legal, and medical fields - Open-sourcing DRACO could push competitors to improve or publish their own benchmarks For marketing teams doing competitor research, market analysis, or content development, tools like Deep Research can reduce hours of manual work. But accuracy claims should be tested against your specific use cases before relying on them for critical decisions. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google Reveals AI Mode Ads and Native Checkout in 2026 Commerce Vision Author: varsha.sinha Author URL: https://www.writtenlyhub.com/news/author/varsha-sinha Published: 2026-02-17 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google Ads VP Reveals AI Mode Ads, UCP Checkout for 2026 Meta Description: Google Ads update 2026 introduces AI Mode ads, live Etsy and Wayfair checkout, and new creator-brand matching tools. Here’s what it means for marketers. Tags: Google, Google Reveals AI Mode, AI Mode, Native Checkout Tag URLs: Google (https://www.writtenlyhub.com/news/tag/google), Google Reveals AI Mode (https://www.writtenlyhub.com/news/tag/google-reveals-ai-mode), AI Mode (https://www.writtenlyhub.com/news/tag/ai-mode), Native Checkout (https://www.writtenlyhub.com/news/tag/native-checkout) URL: https://www.writtenlyhub.com/news/google-ads-update-feb-2026 **Key Takeaways:** - Google is testing sponsored retail listings inside AI Mode search results - Users can now buy from Etsy and Wayfair directly within AI Mode and Gemini - Direct Offers ads will expand beyond discounts to include loyalty perks and bundles - New AI tools will match brands with YouTube creators based on content and audience - Gemini 3 generated nearly 70 million ad assets in Q4 2025 alone ![Google AI Mode showing sponsored retail listings and product recommendations on mobile](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-reveals-ai-mode-ads-1771302887786-original.png) Google just told advertisers exactly where search advertising is headed. And it looks nothing like the blue links we grew up with. ## What Google's ads chief announced Vidhya Srinivasan, VP and GM of Ads and Commerce at Google, published her third annual letter to the industry on February 11, 2026. The message is clear: [ads inside AI experiences are no longer experimental.](https://www.searchenginejournal.com/googles-ads-chief-details-ucp-expansion-new-ai-mode-ads/567007/) > "We aren't just bringing ads to AI experiences in Search; we are reinventing what an ad is," Srinivasan wrote. The letter confirms several features that were previewed at NRF 2026 in January are now live or expanding. Most notably, users can complete purchases from Etsy and Wayfair without leaving AI Mode or Gemini. ## Sponsored listings arrive in AI Mode Google is actively testing a new ad format that shows sponsored retail listings within AI Mode's conversational search results. When a user asks AI Mode for product recommendations, the system already surfaces organic shopping suggestions. The new format adds clearly marked sponsored listings alongside those results. Here's what's different from traditional search ads: - Ads appear within the AI-generated conversation, not above or beside it - Sponsored products are labeled but integrated into the response flow - The format is being tested for travel queries in addition to retail [Google is also expanding Direct Offers](https://adtechradar.com/2026/01/12/google-direct-offers-ai-shopping/), a pilot that lets retailers show exclusive discounts to users who show purchase intent. The update adds new offer types beyond price cuts, including loyalty benefits and product bundles. ## Native checkout is now live The [Universal Commerce Protocol](https://blog.google/products/ads-commerce/agentic-commerce-ai-tools-protocol-retailers-platforms/), which Google co-developed with Shopify, Etsy, Wayfair, Target, Walmart, and 20+ other partners, now powers in-app purchases. Users in the US can buy items from Etsy and Wayfair directly inside AI Mode. The system adds products to the merchant's cart and completes checkout using Google Pay. Shopify, Target, and Walmart integrations are coming soon. Srinivasan called this "agentic commerce" and said the goal is twofold: remove the friction from shopping and give brands new ways to stand out when buyers are ready to act. > "Agentic commerce is no longer just a concept, it's reality," she wrote. ## YouTube creator matching gets AI upgrade The letter also outlines how Google plans to connect brands with YouTube creators more efficiently. Google is building AI tools that analyze content and audience data, then match brands with creator communities most likely to respond to their products. The company started [testing this with an "open call" feature](https://blog.google/products/ads-commerce/digital-advertising-commerce-2026/) and plans to expand it throughout 2026. The pitch to advertisers: turn creator influence into measurable business outcomes, not just awareness. ## What this means for marketers The announcements signal a clear direction. AI search experiences will carry ads, and those ads will be designed to convert within the conversation, not redirect users elsewhere. A few practical implications: - Product feeds and Merchant Center data matter more than ever for AI visibility - Brands not using Performance Max or AI Max may miss these new placements - Retailers should evaluate UCP integration for direct checkout opportunities - Creator partnerships could become more data-driven and performance-focused Google also noted that [Gemini generated nearly 70 million ad assets](https://timesofindia.indiatimes.com/technology/tech-news/changing-digital-advertising-and-commerce-in-2026-5-ways-google-aims-to-use-ai-to-make-shopping-easier-for-consumers/articleshow/128219245.cms) across AI Max and Performance Max in Q4 2025 alone. The company sees generative creative as a core part of future campaign workflows. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Google February 2026 Discover Core Update: What Publishers Need to Know Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-02-13 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Google February 2026 Discover Core Update: What Changed Meta Description: Google released its first Discover-specific core update on February 5, 2026. It targets clickbait, boosts local content, and rewards topical expertise. Tags: Google, Core Update, Clickbait, Google February, Publishers, Discover Core, February 2026 Tag URLs: Google (https://www.writtenlyhub.com/news/tag/google), Core Update (https://www.writtenlyhub.com/news/tag/core-update), Clickbait (https://www.writtenlyhub.com/news/tag/clickbait), Google February (https://www.writtenlyhub.com/news/tag/google-february), Publishers (https://www.writtenlyhub.com/news/tag/publishers), Discover Core (https://www.writtenlyhub.com/news/tag/discover-core), February 2026 (https://www.writtenlyhub.com/news/tag/february-2026) URL: https://www.writtenlyhub.com/news/google-february-2026-discover-core-update-clickbait-local **Key Takeaways:** - Google released its first-ever Discover-specific core update on February 5, 2026 - The update prioritizes locally relevant content from websites based in users' countries - Clickbait and sensational content will see reduced visibility in Discover feeds - Topical expertise is now evaluated on a topic-by-topic basis - Rollout takes up to two weeks, starting with US English users only ![Google Discover feed on smartphone showing local content priority from February 2026 update](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/google-feb-2026-1771302337076-original.png) Google just did something it has never done before. [On February 5, 2026, the company released a core update](https://share.google/WGQgPALEhoAxOUdUV) that targets only Google Discover. This is not a search ranking change. It is a standalone algorithmic overhaul of how Discover selects and surfaces content. ## What the February 2026 Discover update changes The update introduces three major changes to how content appears in Discover feeds. First, Google will show users more locally relevant content from websites based in their country. This means non-US publishers may see reduced traffic from US audiences, at least until the update expands globally. Second, Google is reducing sensational content and clickbait. The updated documentation now explicitly uses the words "clickbait" and "sensationalism" for the first time. Third, the update surfaces more in-depth, original, and timely content from websites with expertise in a given area. ## Topical expertise now matters more Google clarified how it evaluates expertise for Discover visibility. The company now assesses expertise on a topic-by-topic basis, not site-wide. This means niche sites and small publishers can compete with larger publications if they demonstrate genuine knowledge in specific areas. Google provided an example in its announcement. A local news site with a dedicated gardening section could have established expertise in gardening, even if it covers other topics. A movie review site that wrote a single article about gardening would likely not. ## Documentation changes signal enforcement Google updated its "Get on Discover" documentation on the same day the update launched. Two key additions stand out. The words "clickbait" and "sensationalism" now appear explicitly. Previous versions warned against tactics to artificially inflate engagement without naming them directly. Page experience is now part of Discover guidance. This requirement existed for Search since 2020 but was never included in Discover-specific recommendations until now. When Google revises documentation alongside algorithm changes, it signals what the algorithm is built to detect. ## Why this update matters for publishers Discover has become the dominant traffic source for news publishers. According to NewzDash analysis of over 400 news publishers worldwide, Google Discover now accounts for [67.51% of Google-sourced traffic](https://www.mediapost.com/publications/article/411606/google-search-traffic-shifts-to-discover-mobile.html?utm_). That is up from 37.03% in 2023. Traditional web search has fallen from 51.10% to just 27.42% over the same period. For publishers who depend on Discover traffic, this update is not optional to understand. It is essential. ## Rollout timeline and what to expect Google is releasing this update to English language users in the US first. Expansion to all countries and languages will happen in the coming months. The rollout may take up to two weeks to complete. During this time, expect traffic fluctuations. Some sites might see increases or decreases. Many sites may see no change at all. Google recommends publishers follow its standard core update guidance and the Get on Discover help page. The company did not provide new recommendations specific to this update. ## What publishers should do now Monitor your Discover traffic separately from organic search in Google Search Console. If you see traffic changes, check whether they are isolated to Discover or also affecting Search. That distinction now matters more than it used to. Avoid making major changes during the rollout. Wait at least 14 days after completion to assess impact. Focus on creating content that demonstrates genuine expertise, avoids sensationalism, and provides real value to readers in your target geography. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## OpenClaw: The Open-Source AI Agent Marketers Should Watch Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-02-13 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: OpenClaw: The Open-Source AI Agent Taking Tech by Storm Meta Description: OpenClaw Moltbot AI agent is an open-source AI assistant that runs locally and performs tasks autonomously. Here's what marketers need to know. Tags: ChatGPT, OpenClaw, GitHub, Chatbot, AI Marketing Tag URLs: ChatGPT (https://www.writtenlyhub.com/news/tag/chatgpt), OpenClaw (https://www.writtenlyhub.com/news/tag/openclaw), GitHub (https://www.writtenlyhub.com/news/tag/github), Chatbot (https://www.writtenlyhub.com/news/tag/chatbot), AI Marketing (https://www.writtenlyhub.com/news/tag/ai-marketing) URL: https://www.writtenlyhub.com/news/openclaw-moltbot-ai-agent-viral Key Takeaways: - OpenClaw (formerly Clawdbot, then Moltbot) is an open-source AI assistant that runs locally on your device and performs tasks autonomously - The project surpassed 100,000 GitHub stars in under two months, making it one of the fastest-growing open-source projects in history - Unlike chatbots, OpenClaw connects to apps like WhatsApp, Slack, and email to actually execute tasks on your behalf - Security experts warn about significant vulnerabilities, including prompt injection risks and exposed API keys - The tool has sparked both excitement about AI productivity gains and serious concerns about autonomous agent safety An open-source AI assistant with a lobster mascot has become one of the most talked-about tools in tech. OpenClaw, which has gone through three name changes in just two weeks, represents something new in the AI space: an autonomous agent that actually does things instead of just talking about them. ![OpenClaw AI agent connecting to multiple apps and platforms for autonomous task execution](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1770969700504-compressed.png) ## What OpenClaw actually does [OpenClaw](https://frontline.thehindu.com/science-and-technology/openclaw-moltbot-ai-agents-digital-assistant-security-risk-data-privacy/article70575075.ece) runs locally on your hardware and connects to everyday apps you already use. WhatsApp, Telegram, Slack, Discord, email, calendars, file systems. Give it a goal, and it breaks the task into steps, finds the right tools, and executes. Users have documented the agent sending emails, booking flights, debugging code, managing calendars, and even making purchases. The key difference from traditional AI assistants: OpenClaw can work while you sleep. It runs 24/7 on devices like Mac Minis and pings you only when it needs passwords or payment info. ## The rapid rise and rebrand saga Austrian developer Peter Steinberger created the tool as a personal hobby project in late 2025. Within 24 hours of release, it hit 9,000 GitHub stars. By late January 2026, it had [crossed 100,000 stars](https://www.businesstoday.in/technology/news/story/the-lobster-sheds-its-shell-for-the-third-time-as-clawdbot-becomes-openclaw-513650-2026-01-30) and attracted around 2 million visitors in a single week. The project has already been through three names: 1. Clawdbot (original name, a play on "Claude" with a claw) 2. Moltbot (after Anthropic requested a trademark change) 3. OpenClaw (the current "final form" announced January 30) "The lobster has molted into its final form," the project announced on X. The naming chaos included crypto scammers hijacking the old GitHub username within seconds of the transition. ## Why marketers are paying attention OpenClaw points to where AI assistants are heading. The tool demonstrates that autonomous agents can handle complex, multi-step tasks across platforms, something current chatbots cannot do. > IBM research scientist Kaoutar El Maghraoui noted that OpenClaw challenges assumptions about how AI agents must be built. The open-source approach shows that useful agents don't require the tight vertical integration of enterprise AI products. [Cloudflare's stock surged 14%](https://www.reuters.com/business/cloudflare-surges-viral-ai-agent-buzz-lifts-expectations-2026-01-27/) on January 27 as investors connected the viral AI agent to its infrastructure, which developers use to run OpenClaw locally. ## The security concerns are real Security researchers have raised serious alarms. Palo Alto Networks warned that OpenClaw represents a ["lethal trifecta" of vulnerabilities](https://thehackernews.com/2026/02/researchers-find-341-malicious-clawhub.html): access to private data, exposure to untrusted content, and the ability to communicate externally. The companion platform Moltbook, a social network where AI agents interact autonomously, suffered a significant breach. 404 Media reported on January 31 that an exposed database allowed anyone to hijack any AI agent on the site. > "It exploded before anyone thought to check whether the database was properly secured," said security researcher Jameson O'Reilly. ## What this means for your strategy OpenClaw is not ready for production use in business contexts. Creator Peter Steinberger has explicitly said it's "not ready for normies." The tool requires technical setup and carries genuine security risks. But it signals where the industry is moving. Autonomous AI agents that manage routine tasks across platforms will become standard tools. Marketing teams should start thinking about what tasks could be delegated to such agents and what security frameworks would be needed. The lobster has shed its shell. The next molt cycle in AI assistants is just beginning. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## LinkedIn Engagement Down 50%: What the Algorithm Insights Report 2025 Reveals Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-02-12 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: LinkedIn Engagement Down 50%: Algorithm Insights Report 2025 Meta Description: Richard van der Blom's Algorithm Insights Report 2025 shows LinkedIn engagement down 50%, and follower growth down 59%. Here's what changed. Tags: LinkedIn, Linkedin Engagement Down, Algorithm, Insights Report, Organic Views Tag URLs: LinkedIn (https://www.writtenlyhub.com/news/tag/linkedin), Linkedin Engagement Down (https://www.writtenlyhub.com/news/tag/linkedin-engagement-down), Algorithm (https://www.writtenlyhub.com/news/tag/algorithm), Insights Report (https://www.writtenlyhub.com/news/tag/insights-report), Organic Views (https://www.writtenlyhub.com/news/tag/organic-views) URL: https://www.writtenlyhub.com/news/linkedin-engagement-down-50-algorithm-insights-report-2025 **Key Takeaways:** - LinkedIn organic views dropped 50% compared to the previous year - Engagement fell 25% and follower growth slowed by 59% - Company page posts now reach only 1.6% of followers on average - Personal profiles outperform company pages by 561% in reach - The algorithm now prioritizes relevance and quality over virality ![Bar chart showing LinkedIn engagement decline from Algorithm Insights Report 2025](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/linkedin-engagement-1770875916300-original.png) If your LinkedIn posts feel like they are disappearing into a void, you are not imagining things. Richard van der Blom's Algorithm Insights Report 2025, which analyzed 1.8 million posts, confirms what many marketers have suspected: LinkedIn organic performance has dropped significantly. Views are down 50%. Engagement has dropped 25%. Follower growth has slowed by 59%. ## Why LinkedIn reach is declining LinkedIn has restructured its algorithm to prioritize relevance over reach. The platform no longer rewards content designed to go viral. Instead, it favors posts that provide genuine value to specific professional audiences. Daniel Roth, LinkedIn's chief editor, confirmed the platform is intentionally helping content reach more relevant audiences rather than larger audiences. The result: less reach, but the people who do see your content are more likely to be the right ones. ## Company pages are hit hardest The decline is especially severe for company pages. According to the report, company page posts now reach only [1.6% of their followers](https://www.entrepreneur.com/growing-a-business/organic-reach-on-linkedin-is-cratering-heres-how-to/497713?utm_) on average. That is a [15% drop](https://www.tryordinal.com/blog/the-declining-reach-of-linkedin-company-pages?utm_) from late 2023. Company content now accounts for just 1-2% of the LinkedIn feed, down from 7% in 2021. Personal profiles, by contrast, receive 561% more reach than company pages. The algorithm clearly favors individual voices over brand accounts. ## What the LinkedIn algorithm rewards in 2026 LinkedIn is doubling down on quality signals. The metrics that matter most now include: - Saves and sends (new metrics LinkedIn added in late 2025) - Meaningful comments that contribute to the topic - Dwell time (how long users spend reading your post) - Early engagement in the first 60 minutes after posting Likes still count, but they carry less weight than they used to. LinkedIn wants content people keep, share privately, and discuss. ## Content formats that perform best The Algorithm Insights Report 2025 identifies clear winners and losers among content formats. Native video saw a 69% performance boost, especially vertical mobile-first videos under 60 seconds. Document posts (carousels) continue to perform well because they drive extended engagement. Text-only posts saw engagement drop nearly 18%. On company pages, text posts now have a multiplier of just 0.28, making them effectively invisible. Posts with images of people perform up to 50% better than posts without faces. ## How to adapt your LinkedIn strategy The brands seeing results in 2026 are shifting their approach. First, they are investing in personal profiles rather than relying solely on company pages. Employee advocacy now [drives 30% of total company engagement despite only 3% of employees](https://business.linkedin.com/talent-solutions/events/16/10/global-employer-brand-week/employee-engagement-advocacy/4-easy-steps?utm_) sharing company content. Second, they are [creating content worth saving](https://www.forbes.com/sites/jodiecook/2026/01/12/the-linkedin-algorithm-changed-again-heres-whats-new-for-2026/?utm_). Frameworks, checklists, and practical breakdowns perform well because users bookmark them for later. Third, they are engaging immediately after posting. The first 60 minutes remain the critical window for algorithmic testing. Quick replies to comments signal value to the algorithm. Finally, they are posting consistently but not excessively. Two to three posts per week with varied formats can increase visibility by up to 120% compared to sporadic posting. ## What this means for B2B marketers The Algorithm Insights Report 2025 confirms that LinkedIn rewards depth over breadth. Chasing large follower counts no longer works. Building engaged audiences around specific expertise does. For B2B marketers, the path forward is clear: invest in people, create valuable content, and engage meaningfully. The platforms that once rewarded volume now reward relevance. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## OpenAI Confirms ChatGPT Ads: Testing Starts for Free Users in US Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-02-12 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: OpenAI Confirms ChatGPT Ads for Free US Users Meta Description: OpenAI said ChatGPT ads will begin testing in the US for free and Go tier users. Paid subscribers stay ad-free. Here's what marketers need to know. Tags: Beta Advertisers, OpenAI, ChatGPT, Content Marketing, Free Users, Testing Ads Tag URLs: Beta Advertisers (https://www.writtenlyhub.com/news/tag/beta-advertisers), OpenAI (https://www.writtenlyhub.com/news/tag/openai), ChatGPT (https://www.writtenlyhub.com/news/tag/chatgpt), Content Marketing (https://www.writtenlyhub.com/news/tag/content-marketing), Free Users (https://www.writtenlyhub.com/news/tag/free-users), Testing Ads (https://www.writtenlyhub.com/news/tag/testing-ads) URL: https://www.writtenlyhub.com/news/openai-chatgpt-ads-testing-free-users-us **Key Takeaways:** - OpenAI confirmed it will start testing ads in ChatGPT for free and Go tier users in the US - Ads will appear at the bottom of responses, clearly labeled as sponsored - Plus, Pro, Business, and Enterprise subscribers will not see ads - OpenAI says ads will not influence ChatGPT's responses - Beta advertisers are committing $200,000 or more to participate in initial tests ![ChatGPT interface showing sponsored ad placement below AI response](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/openai-confirms-chatgpt-ads-2-1770875543108-compressed.png) OpenAI is bringing ads to ChatGPT. On January 16, 2026, the company announced it will begin [testing advertisements in ChatGPT](https://openai.com/index/our-approach-to-advertising-and-expanding-access/) for logged-in adult users in the United States on the free and Go tiers. Sam Altman had previously called ads a "last resort." That last resort is now here. ## How ChatGPT ads will work Ads will appear at the bottom of ChatGPT responses when there is a relevant sponsored product or service based on the user's current conversation. OpenAI says ads will be clearly labeled and separated from the chatbot's answers. Users will be able to learn more about why they are seeing a specific ad, dismiss ads, and submit feedback about the experience. The company will not show ads in conversations about sensitive or regulated topics like health, mental health, or politics. ## Which ChatGPT users will see ads OpenAI's ad rollout targets specific user groups: - Free tier users ( [logged in, adults, US only](https://openai.com/index/introducing-chatgpt-go/)) - ChatGPT Go subscribers ( [$8/month](https://openai.com/index/introducing-chatgpt-go/)) Users on paid plans remain ad-free: - Plus ($20/month) - Pro ($200/month) - Business and Enterprise accounts - Edu accounts OpenAI will not serve ads to users who have identified themselves as under 18 or who the system predicts are minors. ## OpenAI's advertising principles OpenAI outlined five principles for how ads will work in ChatGPT. Answer independence means ads do not influence what ChatGPT says. Responses are based on what is most helpful to the user. Conversation privacy means OpenAI keeps conversations private from advertisers and will not sell user data to advertisers. Choice and control means users can turn off personalization and clear data used for ads at any time. Long-term value means OpenAI will not optimize for time spent in ChatGPT. The company says it prioritizes user trust over revenue. Mission alignment means advertising supports the goal of making AI more accessible. ## What advertisers are paying to test ChatGPT ads According to ADWEEK, OpenAI is asking select advertisers to commit at least [$200,000 to participate in the beta test](https://www.adweek.com/media/exclusive-openai-confirms-200000-minimum-commitment-for-chatgpt-ads/). Some advertisers represented by search intelligence platform Adthena were approached with $250,000 commitments. The test is small and tightly controlled. OpenAI says the limited scope is deliberate, intended to see what types of ads provide value for users. Ads will be billed on a pay-per-impression (PPM) basis rather than pay-per-click. This model ensures OpenAI earns revenue even if users do not interact with ads. ## Why OpenAI is adding ads now OpenAI has committed [$1.4 trillion to data center infrastructure](https://techcrunch.com/2025/11/06/sam-altman-says-openai-has-20b-arr-and-about-1-4-trillion-in-data-center-commitments/) over the next eight years. Altman wrote on X that many people want to use AI and do not want to pay. He positioned ads as a way to fund accessibility. Internal documents reported in mid-2025 showed OpenAI planning $1 billion in free user monetization starting in 2026, growing to $25 billion by 2029. ChatGPT now has [800 million monthly users.](https://www.cnbc.com/2025/12/02/open-ai-code-red-google-anthropic.html#:~:text=More%20than%20800%20million%20people,rivals%20like%20Google%20and%20Anthropic.) At that scale, advertising becomes one of the few revenue levers large enough to matter. ## What this means for marketers and SEO ChatGPT ads represent a new advertising surface tied directly to conversational AI and high-intent queries. Unlike traditional search ads that interrupt a list of results, ChatGPT ads appear after an answer has already been delivered. The user has already received the information. The ad is adjacent to an answer the user may be ready to act on. This format could create premium, high-impact placement that competes directly with organic answers. For SEO and GEO practitioners, the arrival of ChatGPT ads means AI search visibility is no longer just about getting cited in answers. Paid placements are now part of the equation. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Anthropic Pledges Claude Will Stay Ad-Free, Takes Aim at OpenAI in Super Bowl Ads Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-02-12 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Anthropic Says Claude Will Stay Ad-Free, Challenges OpenAI Meta Description: Anthropic pledged Claude will stay ad-free and used Super Bowl ads to challenge OpenAI. Sam Altman disputed the claims, fueling debate on AI monetizations. Tags: OpenAI, Super Bowl Ads, Ad-Free, ChatGPT, Anthropic, Claude Tag URLs: OpenAI (https://www.writtenlyhub.com/news/tag/openai), Super Bowl Ads (https://www.writtenlyhub.com/news/tag/super-bowl-ads), Ad-Free (https://www.writtenlyhub.com/news/tag/ad-free), ChatGPT (https://www.writtenlyhub.com/news/tag/chatgpt), Anthropic (https://www.writtenlyhub.com/news/tag/anthropic), Claude (https://www.writtenlyhub.com/news/tag/claude) URL: https://www.writtenlyhub.com/news/anthropic-claude-ad-free-super-bowl-ads-openai-altman **Key Takeaways:** - Anthropic announced Claude will remain ad-free across all subscription tiers - The company aired Super Bowl commercials directly mocking ChatGPT's new ad-supported model - Sam Altman called the ads "dishonest" and accused Anthropic of being "authoritarian" - Anthropic generates 80% of its revenue from enterprise customers, not ads - The feud highlights a fundamental split in how AI companies plan to monetize their chatbots ![Comparison of AI chatbot monetization models showing ad-supported versus ad-free approaches](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/anthropic-pledges-1-1770874474768-compressed.png) The AI wars just got personal. On February 4, 2026, [Anthropic announced that its chatbot Claude will remain completely ad-free.](https://share.google/zgDCXEqwYUaWppvlm) The same day, it released four Super Bowl commercials that take direct aim at OpenAI's recent decision to introduce ads in ChatGPT. Sam Altman was not amused. ## **What Anthropic's Super Bowl ads show** ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1770874223250-compressed.jpeg) ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1770874224489-compressed.jpeg) ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1770874225706-compressed.jpeg) ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1770874226721-compressed.jpeg) The commercials open with all-caps words splashed across the screen: "BETRAYAL," "VIOLATION," "TREACHERY," "DECEPTION." Each ad features someone asking an AI chatbot for advice. A man wants to communicate better with his mom. Another asks how to get a six-pack. An entrepreneur wants to start a business. The AI starts with helpful responses. Then it pivots sharply into product pitches. The man asking about his mom gets redirected to "Golden Encounters," a dating site for "sensitive cubs and roaring cougars." The fitness question leads to an ad for height-boosting insoles. Every commercial ends with the tagline: "Ads are coming to AI. But not to Claude." ## How Sam Altman responded ![](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/image-cp-1770874227842-compressed.jpeg) Altman posted a 400-word response on X within hours. He admitted the ads were "funny" and said he laughed. Then he called them "clearly dishonest" and "deceptive." His core argument: OpenAI has stated that ads will appear below responses, not inside them. They will be clearly labeled and will never influence what ChatGPT says. "We would obviously never run ads in the way Anthropic depicts them," Altman wrote. "We are not stupid and we know our users would reject that." He then escalated the rhetoric significantly. Altman accused Anthropic of serving "an expensive product to rich people" and said the company "wants to control what people do with AI." He called Anthropic "authoritarian" and said it was heading down "a dark path." ## Why Anthropic says it will not run ads Anthropic explained its reasoning in a [blog post](https://www.anthropic.com/news/claude-is-a-space-to-think?utm_) published alongside the Super Bowl campaign. The company said advertising in Claude would be "incompatible with what we want Claude to be: a genuinely helpful assistant for work and for deep thinking." Conversations with Claude often involve sensitive or deeply personal topics, Anthropic argued. The kinds of conversations you might have with a trusted advisor. Including ads would introduce an incentive to optimize for engagement rather than helpfulness. The most useful AI interaction might be a short one that resolves the user's request without prompting further conversation. The company committed to keeping Claude free of sponsored links, advertiser-influenced responses, and third-party product placements. ## The business model split The feud reveals a fundamental disagreement about how AI chatbots should make money. OpenAI is pursuing scale. With 800 million weekly users, many of whom use the free tier, advertising offers a way to monetize that massive audience without requiring everyone to pay. Anthropic takes a different approach. The company generates about 80% of its revenue from enterprise customers and API usage. Its coding tool Claude Code alone generates nearly $1 billion in annualized revenue. Anthropic hit $9 billion in annualized revenue by the end of 2025 and projects $20-26 billion for 2026. It expects to break even by 2028 without introducing ads. Both companies have free tiers. Claude's subscriptions are priced at $0, $17, $100, and $200. ChatGPT's tiers are $0, $8, $20, and $200. ## What this means for users For now, the choice is clear. If you use ChatGPT's free or $8 Go tier in the US, you will soon see ads at the bottom of responses. Paid tiers remain ad-free. If you use Claude at any tier, including free, you will not see ads. Whether Anthropic can sustain this position indefinitely remains uncertain. The company left itself an out in its blog post: "Should we need to revisit this approach, we'll be transparent about our reasons for doing so." But for 2026, the AI industry has its first clear philosophical split on monetization. And it is playing out on the biggest advertising stage in America. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Perplexity Signs $750M Microsoft Azure Deal While Amazon Sues Author: Anjali Sharma Author URL: https://www.writtenlyhub.com/news/author/anjali-sharma Published: 2026-02-11 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: Perplexity Signs $750M Microsoft Azure Deal While Amazon Sues Meta Description: AI search startup Perplexity signed a $750 million Microsoft Azure deal while facing an Amazon lawsuit. AWS remains its primary cloud provider. Tags: marketing ecosystem, Perplexity, Microsoft, Amazon, Perplexity Signs Tag URLs: marketing ecosystem (https://www.writtenlyhub.com/news/tag/marketing-ecosystem), Perplexity (https://www.writtenlyhub.com/news/tag/perplexity), Microsoft (https://www.writtenlyhub.com/news/tag/microsoft), Amazon (https://www.writtenlyhub.com/news/tag/amazon), Perplexity Signs (https://www.writtenlyhub.com/news/tag/perplexity-signs) URL: https://www.writtenlyhub.com/news/perplexity-750-million-microsoft-azure-deal-amazon-lawsuit **Key Takeaways:** - Perplexity signed a three-year, $750 million deal with Microsoft to use Azure cloud services - The agreement lets Perplexity deploy AI models from OpenAI, Anthropic, and xAI through Azure AI Foundry - Amazon Web Services remains Perplexity's primary cloud provider despite the new Microsoft partnership - Amazon is actively suing Perplexity over its Comet AI shopping agent, alleging computer fraud - The deal signals a growing multi-cloud strategy among AI startups facing compute shortages ![Illustration of Perplexity AI choosing between Microsoft Azure and Amazon AWS cloud platforms](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/perplexity-signs-deal-1770830448538-compressed.png) Two years after going all-in on Amazon Web Services, [Perplexity just signed a $750 million deal](https://www.ndtv.com/world-news/microsoft-inks-750-million-cloud-deal-with-ai-firm-perplexity-10911785) with Microsoft. The three-year agreement, reported by Bloomberg on January 29, allows the AI search startup to deploy frontier models through Microsoft's Azure AI Foundry service. The timing is notable, as Amazon is currently suing Perplexity in federal court. ## What the Perplexity Microsoft Azure deal includes The $750 million commitment gives Perplexity access to AI models from multiple providers through Azure AI Foundry. These include models from OpenAI, Anthropic, and xAI. A Perplexity spokesperson confirmed to Bloomberg that the partnership is aimed at securing access to leading AI models across providers. Microsoft's Foundry service has been gaining momentum. [Over 1,500 customers now use both Anthropic and OpenAI](https://in.investing.com/news/transcripts/earnings-call-transcript-microsoft-q2-2026-sees-strong-earnings-beat-stock-rises-93CH-5209367) models through the platform. Customers spending more than $1 million quarterly grew nearly 80% year-over-year. ## Why Perplexity still needs Amazon Web Services Despite the Microsoft commitment, Perplexity is not leaving AWS. The company built most of its infrastructure on Amazon Web Services. CEO Arvind Srinivas previously said Perplexity has allocated hundreds of millions of dollars for AWS. A Perplexity spokesperson told Bloomberg that AWS remains its preferred cloud provider. The company expects to announce expansions of that partnership in coming weeks. This multi-cloud approach creates leverage in price negotiations while reducing dependency on a single vendor. ## Amazon lawsuit complicates the cloud relationship The Azure deal arrives at a tense moment in Perplexity's relationship with Amazon. In November 2025, [Amazon filed a lawsuit in federal court](https://www.thehindu.com/sci-tech/technology/amazon-sues-perplexityover-agentic-shopping-tool/article70246940.ece) to stop Perplexity's Comet AI browser from making purchases on Amazon's marketplace. Amazon's key allegations against Perplexity include: - Disguising Comet as a Google Chrome browser - Failing to identify when AI agents operate in the Amazon Store - Making purchases on behalf of users without authorization - Violating Amazon's terms of service and computer fraud statutes Amazon called Comet's behavior a threat to customer security and a degraded shopping experience. Perplexity fired back with a blog post titled "Bullying is Not Innovation." The company argued that AI agents acting on behalf of users should have the same permissions as the users themselves. ## Why AI startups are spreading cloud commitments Perplexity's multi-cloud strategy reflects a broader industry pattern. Computing power shortages are driving AI startups to secure commitments from multiple providers. Fast-growing companies like Anthropic and OpenAI also use multiple cloud platforms to guarantee access to computers. The $750 million Azure deal gives Perplexity infrastructure independence from Amazon at a critical moment. With Amazon actively litigating against Perplexity's core shopping feature, diversification makes strategic sense. ## What this means for the AI search market [Perplexity was valued at $20 billion](https://www.reuters.com/technology/perplexity-finalizes-20-billion-valuation-round-information-reports-2025-09-10/) following a $200 million funding round in September 2025. The company processes over 780 million queries monthly and generates approximately $200 million in annual recurring revenue. For Microsoft, the deal adds a high-profile AI customer to Azure's growing roster. Microsoft's Intelligent Cloud segment revenue rose 29% year-over-year in Q2 FY 2026 to reach [$32.9 billion](https://news.microsoft.com/source/2026/01/28/microsoft-cloud-and-ai-strength-drives-second-quarter-results-3/). Azure and other cloud services grew 39%. CEO Satya Nadella described Microsoft's approach on a recent earnings call. He noted that customers expect to use multiple models as part of any workload. ## What marketers should watch The Perplexity-Amazon conflict is one of the first major legal tests for AI shopping agents. If Amazon wins, platforms may gain stronger control over third-party AI agents. If Perplexity wins, it could open the door for AI-assisted commerce at scale. Either outcome will shape how brands think about AI-powered shopping and search in the years ahead. For now, Perplexity continues to operate on both AWS and Azure while fighting Amazon in court. The outcome could define the rules for AI agents across e-commerce. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## TikTok Uninstalls Spike 150% After US Takeover and Privacy Backlash Author: WrittenlyHub Team Author URL: https://www.writtenlyhub.com/news/author/writtenlyhub-team Published: 2026-02-11 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: TikTok Uninstalls Rise 150% Amid US Takeover Meta Description: Sensor Tower data shows TikTok uninstalls rose 150% in five days after US joint venture. Users show tracking and data collection concerns. Tags: tiktok, tiktok news, tiktok privacy backlash, tiktok uninstall Tag URLs: tiktok (https://www.writtenlyhub.com/news/tag/tiktok), tiktok news (https://www.writtenlyhub.com/news/tag/tiktok-news), tiktok privacy backlash (https://www.writtenlyhub.com/news/tag/tiktok-privacy-backlash), tiktok uninstall (https://www.writtenlyhub.com/news/tag/tiktok-uninstall) URL: https://www.writtenlyhub.com/news/tiktok-uninstalls-spike-150-percent-us-takeover-privacy Key Takeaways: - TikTok uninstalls in the US jumped 150% in five days after the January 22 joint venture announcement - The new privacy policy now allows precise GPS location tracking, a change from previous policy - Daily active users remained flat despite the deletion surge, according to Sensor Tower - Alternative app UpScrolled saw downloads increase more than tenfold in the same period - Skylight Social downloads surged 919% and Rednote climbed 53% week-over-week ![Smartphone displaying TikTok app with uninstall button being pressed illustrating user deletion surge](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/tiktok-delete-instructions-1770795786544-original.png) TikTok users are deleting the app at a rate not seen in months. The daily average of US users removing TikTok [jumped nearly 150% over five days](https://www.cnbc.com/2026/01/26/tiktok-uninstalls-are-up-150percent-following-us-joint-venture.html) compared with the previous three months, according to Sensor Tower data shared with CNBC on January 26. The spike followed TikTok's announcement that its US operations would shift to a new joint venture under American leadership. ## What triggered the TikTok deletion wave On January 22, TikTok finalized the [creation of TikTok USDS Joint Venture LLC,](https://www.reuters.com/world/china/tiktok-reaches-deal-new-us-joint-venture-avoid-american-ban-2026-01-23/) majority-owned by American and global investors including Oracle, Silver Lake, and UAE-based MGX, while [ByteDance retained a 19.9% stake](https://www.reuters.com/business/american-investor-consortium-acquire-tiktok-us-entity-axios-reports-2025-12-18/). The same day, users were required to accept updated privacy policies or lose access to the app. Backlash quickly followed, focused on a major change to location data collection. Unlike earlier policies that barred GPS tracking in the U.S., the 2026 policy allows precise location data, depending on user settings. TikTok says the feature will be opt-in, disabled by default, and used to support new services and features. Caitriona Fitzgerald, deputy director of the Electronic Privacy Information Center (EPIC), told CBS News: "The change in location data is the most stark because the previous privacy policy had explicitly said that the current versions of the app do not collect precise GPS information." TikTok says the feature will be opt-in and disabled by default. The company plans to use precise location data to provide new services and features. ## What data TikTok says it may collect The updated privacy policy lists several categories of sensitive personal information TikTok may collect, like: - Racial or ethnic origin - Sexual orientation - Status as transgender or nonbinary - Citizenship or immigration status - Financial information - Precise location data CNBC noted that similar language appeared in archived versions of the policy from August 2024, meaning it wasn’t entirely new. However, its inclusion in a mandatory pop-up drew fresh scrutiny. User frustration grew amid technical issues during the ownership transition. Creators reported outages, delayed analytics, and failed uploads, which TikTok attributed to a temporary weather-related power outage at an Oracle data center. Some users also claimed their content was being suppressed, especially posts critical of the new ownership or political topics. TikTok has not confirmed any changes to its moderation policies. ## Alternative apps see record downloads As TikTok users deleted their accounts, competing platforms gained traction. UpScrolled, a social app founded by Palestinian-Australian entrepreneur Issam Hijazi, saw US downloads increase more than tenfold week-over-week. By January 29, the app had [crossed 1 million users](https://www.thenationalnews.com/future/technology/2026/01/28/what-is-upscrolled-palestine-gaza/) and ranked second in the US App Store, behind only ChatGPT. Sensor Tower data shows 85% of UpScrolled's US downloads occurred between January 21 and 27. [Skylight Social downloads surged 919%](https://www.cnbc.com/2026/01/26/tiktok-uninstalls-are-up-150percent-following-us-joint-venture.html), while Chinese-owned Rednote climbed 53% in the same period. ## Why daily active users stayed flat Despite the [150% increase in uninstalls](https://www.thekeyword.co/news/tiktok-uninstalls-spike-150-in-the-u-s-after-joint-venture-news#:~:text=Despite%20rising%20uninstall%20activity%2C%20daily%20active%20user%20numbers%20remain%20stable&text=TikTok%20uninstalls%20in%20the%20U.S.,venture%20under%20majority%20American%20ownership.), TikTok's daily active user levels in the US remained relatively stable. Sensor Tower data shows usage held steady compared with the previous week. This pattern suggests the deletion surge reflects user hesitation rather than a broad decline in core engagement. Many users appear to be reacting to the policy changes while others continue using the app. For marketers, the situation requires monitoring rather than immediate action. ## What this means for brands on TikTok The ownership transition and policy backlash create short-term uncertainty for brands invested in TikTok. However, sustained shifts in creator sentiment and content diversity will pose more serious risks than temporary uninstall headlines. Marketers should watch for changes in reach, engagement patterns, and any new content moderation policies under the joint venture structure. The platform remains one of the largest short-form video destinations. But the trust gap between TikTok and its users just got wider. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## India Budget 2026 Puts Creator Economy in the Classroom Author: WrittenlyHub Team Author URL: https://www.writtenlyhub.com/news/author/writtenlyhub-team Published: 2026-02-05 Category: Latest Category URL: https://www.writtenlyhub.com/news/category/latest Meta Title: India Budget 2026: Creator Labs for 15,000 Schools and 500 Colleges Meta Description: Finance Minister Sitharaman announced AVGC Content Creator Labs in 15,000 schools and 500 colleges. India targets 2 million creative professionals by 2030. Tags: budget 2026, news, creator economy, india, creators in india, marketing ecosystem, content creators news Tag URLs: budget 2026 (https://www.writtenlyhub.com/news/tag/budget-2026), news (https://www.writtenlyhub.com/news/tag/news), creator economy (https://www.writtenlyhub.com/news/tag/creator-economy), india (https://www.writtenlyhub.com/news/tag/india), creators in india (https://www.writtenlyhub.com/news/tag/creators-in-india), marketing ecosystem (https://www.writtenlyhub.com/news/tag/marketing-ecosystem), content creators news (https://www.writtenlyhub.com/news/tag/content-creators-news) URL: https://www.writtenlyhub.com/news/india-budget-2026-avgc-creator-labs ![Indian students learning animation and digital content creation in AVGC Content Creator Lab under Budget 2026 initiative](https://prod.superblogcdn.com/site_cuid_cml98n10w004h01mkl6bls94j/images/india-budget-2026-1770284825749-compressed.png) Key Takeaways: - Finance Minister Nirmala Sitharaman [announced AVGC Content Creator Labs](https://share.google/UCBqggoGO3zVIyoxe) in 15,000 secondary schools and 500 colleges across India - The Indian Institute of Creative Technologies (IICT) in Mumbai will oversee the initiative - India's Animation, Visual Effects, Gaming, and Comics sector is projected to need 2 million professionals by 2030 - The announcement is part of a broader push to develop India's "Orange Economy," the creative industries ecosystem - Industry leaders welcomed the move as a foundation for building India's next-generation creator workforce - India's Union Budget 2026 just put animation, gaming, and digital content creation into the school curriculum. - Finance Minister Nirmala Sitharaman announced on February 1 that the government will support setting up AVGC Content Creator Labs in 15,000 secondary schools and 500 colleges nationwide. ## What the government announced The [Indian Institute of Creative Technologies (IICT)](https://share.google/vV5cEzyf9UBJZNPt4) in Mumbai will lead the initiative. Students will receive hands-on training in animation, visual effects, gaming, and comics. The goal: build a pipeline of skilled professionals for India's growing creative industries. The government has allocated Rs 250 crore for AVGC talent development in the 2026-27 budget. The National Centre of Excellence for AVGC-XR received Rs 35 crore, up from Rs 17 crore last year. ## Why India is betting on the "Orange Economy" The [Orange Economy](https://share.google/lW0qBdNXOrLfkbAv4) refers to industries where creativity, intellectual property, and cultural content generate economic value. It includes animation, gaming, VFX, music, design, fashion, publishing, and live events. According to the [Economic Survey](https://share.google/MUzAnmDXK2KYiH27e), gaming alone contributed Rs 23,200 crore in revenue in 2024. Animation and VFX added Rs 10,300 crore. The sector is growing at 25-30% annually. India already functions as a global hub for animation and VFX outsourcing. Indian studios contributed to international blockbusters including Avengers: Endgame, The Jungle Book, and Frozen. Production costs run 40-60% lower than Western markets, with a workforce of around 260,000 creators and engineers. ## How the industry is responding Gaming and esports leaders welcomed the announcement. [NODWIN Gaming co-founder Akshat Rathee](https://share.google/Do9GBoVsCks4JqdSs) called it "a strong step toward building India's creative and digital talent pipeline." SuperGaming CEO Roby John pointed to the focus on original Indian intellectual property. "This matters because India's gaming and digital entertainment future will be built on original Indian IP, not just consumption." [Electronics and IT Minister Ashwini Vaishnaw](https://share.google/MExDcUnG2FqwlgrT8) said the Orange Economy is expected to create around 20 lakh (2 million) new jobs. The creator labs will extend beyond metro cities to build regional talent pools. ## What this means for content creators and brands The initiative signals government recognition that content creation is a legitimate career path, not a side hustle. By introducing training at the secondary school level, India aims to build creative skills before students make higher education decisions. For brands operating in India, this means a growing pool of trained creators will enter the market over the coming years. Regional content in local languages will expand as training reaches beyond major cities. The Budget also includes a new National Institute of Design in Eastern India and plans for university townships near industrial corridors to link education with industry needs. India already has an estimated 35-45 lakh active content creators and a broader ecosystem of over 100 million participants. Structured training at scale could accelerate the shift from informal passion projects to professional creative careers. --- This blog is powered by Superblog. Visit https://superblog.ai to know more. --- ## Sample Page Author: WrittenlyHub Team Author URL: https://www.writtenlyhub.com/news/author/writtenlyhub-team Published: 2026-02-05 URL: https://www.writtenlyhub.com/news/sample-page This is a page. Notice how there are no elements like author, date, social sharing icons? Yes, this is the page format. You can create a whole website using Superblog if you wish to do so! --- This blog is powered by Superblog. Visit https://superblog.ai to know more. ---