AI companies plan a shared robots.txt training preference
AI · First reported 30 Oct, 09:30 · Updated 09:15
Google, Microsoft, OpenAI and Anthropic have backed a proposed robots.txt signal that would let website operators express an AI-training preference for multiple providers with one rule. The signal concerns future training use, does not itself block crawling, and providers plan to support it on different timelines.
- The proposed token, __usage_ai-training, would let site operators state preferences for training use across participating providers instead of maintaining separate rules for each provider.
- The draft describes a preference about content use, not a crawler-blocking instruction; it also cannot reverse scraping that has already occurred.
- Anthropic says it has begun support; OpenAI plans implementation in the coming months, while Google and Microsoft have named 2027 timelines.
- The proposal is an individual Internet-Draft and has not been endorsed by the IETF or given formal standing in its standards process.
- Microsoft and Google have said opting out of training may affect a publisher’s visibility in AI services; the new signal does not itself prevent crawling.
Summary written by Lux AI from 6 articles
Key facts
- Signal token
- __usage_ai-training
- Anthropic
- Has already started supporting the signal
- OpenAI
- Plans implementation in the coming months
- Plans support in early 2027
- Microsoft
- Plans support beginning February 1, 2027
- Standards status
- The individual draft is not endorsed by the IETF and has no formal standing in its standards process
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