On October 30, OpenAI, Google, Microsoft and Anthropic each published posts committing to one shared robots.txt training-preference signal: a site writes a single Disallow group for the policy token __usage_ai-training to tell every participating provider not to use its content for generative AI training. The mechanism comes from an IETF individual Internet-Draft filed that day by Anthropic standards lead Kevin Kelley and is not yet a formal standard. Timelines differ: The Verge and CNA report Anthropic has already started implementing it, OpenAI says "in the coming months", Microsoft honors it from February 1, 2027, and Google plans support during 2027.
Key Takeaways
- ✓Syntax: in robots.txt,
User-Agent: __usage_ai-trainingplusDisallow: /states a site-wide preference against AI training, and Allow rules can carve out paths such as /press-kit/; omitting the group means no preference is expressed - ✓Draft: draft-kelley-aipref-training-preference-signal-00 by Kevin Kelley (Anthropic), filed 2026-10-30 and expiring 2027-05-03, an individual IETF draft with no formal standing yet
- ✓Timeline: Anthropic has reportedly started; OpenAI says "in the coming months"; Microsoft honors it from 2027-02-01 and sites relying on NoArchive/NoCache should migrate by 2027-03-01; Google plans support in 2027
- ✓Training only, not crawling: the draft says the token is not a crawl directive, wildcard
User-Agent: *groups do not match it, and existing GPTBot, ClaudeBot and Google-Extended rules keep working - ✓Microsoft also adds a page-level AI Grounding preference whose new DisallowExtended value limits grounding to Microsoft's own products (Copilot, AI Overview and others) and excludes third-party grounding services such as Foundry API access
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Background and the industry pain point
For two years, a site that wanted to refuse AI training had to list each crawler in robots.txt by name, such as GPTBot, ClaudeBot and Google-Extended, adding a new group for every model maker and often missing ones it had never heard of. Publishers have sued AI companies over scraping, and the EU Code of Practice for general-purpose AI models treats robots.txt as the main way to express machine-readable preferences. Four leading providers backing the same signal on the same day is the industry's first shared entry point for opting out of training.
How the mechanism works
According to IETF draft draft-kelley-aipref-training-preference-signal-00, there is no new grammar. The policy token __usage_ai-training goes in a User-Agent line and reuses RFC 9309 path matching and longest-match precedence. Disallow expresses a preference against training, Allow expresses one in favor, and a file without the group expresses none; wildcard User-Agent: * groups explicitly do not match. "AI training" takes the IETF aipref vocabulary definition, modifying a generative model's parameters, and excludes purely classification or ranking models. The draft stresses the token is not a crawl directive, existing crawler rules still apply, and private agreements can override it. Google says that if a site does not address Google-Extended directly, an opt-out via the token will be read as disallowing Google-Extended; Microsoft extends the training preference to individual pages and adds a separate AI Grounding preference with a new DisallowExtended value.
Benchmarks and measured results
This is a standards and policy story, so there are no benchmarks. None of the companies has published figures on expected adoption or the effect on training data volume.
Getting started
A site that wants out of training can add User-Agent: __usage_ai-training and Disallow: / to robots.txt, with Allow lines for paths it wants to keep in. The token does not stop crawling, so rate limits or crawler blocks still need per-crawler rules. Google and Microsoft both warn that opting out of training may reduce how often content appears in AI experiences, so avoid switching off Google-Extended or Bing grounding by accident. Sites relying on Bing's NoArchive/NoCache should move to the new preferences before March 1, 2027. With rollouts spread into 2027, the safest setup for now is to keep the new token alongside existing per-crawler rules.
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