OpenAI, Google, Microsoft, and Anthropic are backing a new IETF-proposed 'policy token' standard that lets publishers opt out of AI training scraping across multiple companies at once via their robots.txt file.
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<p class="wp-block-paragraph">OpenAI, Google, Microsoft, and Anthropic say they will adopt a new standard that publishers can use to opt out of being scraped by AI, as <a href="https://www.seroundtable.com/google-ai-training-control-42430.html">reported earlier by <em>Search Engine Roundtable</em></a>. With this control, publishers can apply their AI training preferences across multiple AI companies, instead of setting them individually.</p>
<p class="wp-block-paragraph">The <a href="https://datatracker.ietf.org/doc/draft-kelley-aipref-training-preference-signal/">shared "policy token" signal</a> is proposed by Kevin Kelley, a technical lead for standards at Anthropic, as part of the Internet Engineering Task Force (IETF). It will live within a website's <a href="https://www.theverge.com/24067997/robots-txt-ai-text-file-web-crawlers-spiders">robots.txt file</a>, which has long signaled which web crawlers can and can't scrape a site - whether for search indexing, archiving, or …</p>
<p><a href="https://www.theverge.com/tech/1023763/openai-google-microsoft-ai-scraping-standard-opt-out">Read the full story at The Verge.</a></p>
# The biggest names in AI are backing a new way to opt out of scraping
Source: [https://www.theverge.com/tech/1023763/openai-google-microsoft-ai-scraping-standard-opt-out](https://www.theverge.com/tech/1023763/openai-google-microsoft-ai-scraping-standard-opt-out)
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Emma Roth
is a news writer who covers the streaming wars, consumer tech, crypto, social media, and much more\. Previously, she was a writer and editor at MUO\.
OpenAI, Google, Microsoft, and Anthropic say they will adopt a new standard that publishers can use to opt out of being scraped by AI, as[reported earlier by*Search Engine Roundtable*](https://www.seroundtable.com/google-ai-training-control-42430.html)\. With this control, publishers can apply their AI training preferences across multiple AI companies, instead of setting them individually\.
The[shared “policy token” signal](https://datatracker.ietf.org/doc/draft-kelley-aipref-training-preference-signal/)is proposed by Kevin Kelley, a technical lead for standards at Anthropic, as part of the Internet Engineering Task Force \(IETF\)\. It will live within a website’s[robots\.txt file](https://www.theverge.com/24067997/robots-txt-ai-text-file-web-crawlers-spiders), which has long signaled which web crawlers can and can’t scrape a site — whether for search indexing, archiving, or AI training\. Currently, sites have to signal their AI training preferences separately to each AI company\.
The announcement comes as publishers grapple with the continuing influx of AI crawlers scraping their sites and feeding their content into AI models\. Some companies and organizations have attempted to combat unauthorized scraping, with the[Really Simple Licensing \(RSL\) standard](https://www.theverge.com/news/841222/rsl-licensing-ai-spec-launch)giving publishers the ability to charge crawlers that visit their sites, and[Cloudflare blocking AI crawlers by default](https://www.theverge.com/news/695501/cloudflare-block-ai-crawlers-default)\.
[OpenAI](https://openai.com/index/helping-websites-express-ai-training-preferences/),[Google](https://developers.google.com/search/blog/2026/10/ai-training-control),[Microsoft](https://blogs.bing.com/search/2026/10/your-content-your-choice-clearer-preferences-for-training-and-grounding/), and[Anthropic](https://mailarchive.ietf.org/arch/msg/ai-control/mddjatOxSR0h6GmLRBWlc839c7w/])say they will restrict their AI crawlers from accessing a site if they encounter the shared token\. Microsoft, however,[will offer more granular controls](https://blogs.bing.com/search/2026/10/your-content-your-choice-clearer-preferences-for-training-and-grounding/)that will give publishers the ability to opt out of AI training or[AI grounding](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/grounding/overview), the process of pointing an AI model to a verified source of information to reduce hallucinations\. Microsoft notes that websites will still appear in Bing’s search results regardless of their preferences\.
While Anthropic has already adopted the signal, Google and Microsoft plan to support it next year\. OpenAI says it will implement it in the “coming months\.”
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- Emma Roth
Google announced plans to support a shared AI training control in robots.txt, based on IETF AIPREF work, letting websites express opt-out preferences across multiple AI providers in a single step, with rollout targeted for 2027.
OpenAI announced it will honor a shared robots.txt signal from the IETF AI Preferences working group, letting website owners express AI training preferences once across multiple providers instead of managing rules for each crawler individually.
UK users can now opt out of having their data used by Meta, OpenAI, and Anthropic for AI training, following an ICO report confirming individuals' data rights over foundation model training data and models.
The article discusses how AI coding assistants make large-scale web scraping accessible to ordinary people, raising ethical concerns about ignoring robots.txt and rate limits, and questions the responsibility of AI providers.
A commentary on the ethical challenges of AI agents ignoring website rules like robots.txt when generating scrapers, and the responsibility of AI providers to implement guardrails without hindering product usability.