On October 30, 2026, Microsoft announced that it will adopt a common robots.txt signal for preferences about AI training. Google also plans to recognize it, but the mechanism is not a technical block.

Robots.txt gets a common signal for AI training
Microsoft and Google will support a common signal in robots.txt so sites can express preferences about how their content is used for AI training.
Marcelo Santiago
Criador do bridgecode
Get AI articles in your inbox
Technical curation on models, agents and coding tools. No spam, unsubscribe anytime.
In this article you will see:
- What the new robots.txt identifier communicates.
- When each company plans to recognize it.
- Why the IETF draft does not block crawlers.
- What site teams can prepare now.
The new robots.txt token expresses preference about AI training
The proposed control uses a special identifier in the User-agent field of robots.txt. The token __usage_ai-training separates the preference about training from the crawling rules used by other bots.
The Google Search Central describes this shared control as a way to express preferences about training.
An example instruction to not allow this use would be:
User-agent: __usage_ai-training
Disallow: /This syntax communicates a preference to systems that recognize the token. It does not by itself change a page's visibility in search, it does not remove content from the index and it does not prevent a crawler from ignoring the instruction.
The draft also allows organizing rules by path. A site can express different preferences for public areas and documentation.
Content will only stay out of training if services adopt the specification and respect that choice.
The proposal tries to replace a collection of specific bot names with a common signal.
Today, each company can interpret directives and identifiers in its own way. This makes it hard to know if a preference will be understood.
Google and Microsoft announced different timelines
The Google Search Central published the plan on October 30 and intends to support the signal in 2027. The announcement does not give a specific day for deployment.
Google also differentiates the new token from Google-Extended, an existing control for the use of content in grounded responses in the Gemini apps.
Microsoft said it will start recognizing preferences on February 1, 2027. The company says the choice does not change page eligibility in Bing search.
Microsoft also plans separate controls for grounding, when a response queries pages to compose current information.
| Company | Announced deadline |
|---|---|
| During 2027, no specific day | |
| Microsoft | Starting February 1, 2027 |
The difference between training and grounding matters for those who publish documentation. Microsoft details the separation in the controls announcement.
Training uses examples to change a model's behavior. Grounding queries content to inform a generated response, without necessarily incorporating it into the model's parameters.
The IETF draft does not create a mandatory block
The signal is described in an Internet-Draft from the IETF, a working document that can receive comments and change. It is not yet an approved RFC nor a mandatory rule for all crawlers.
The IETF draft describes the token as a use preference, not as an order to prevent access to content.
robots.txt is public and voluntary. It helps cooperative services understand rules, but it does not work as authentication or firewall.
Therefore, the announcement does not mean a site will be technically protected against copying or collection. To restrict access to private files, authentication, authorization and server side controls remain necessary.
The change should be read as a more standardized way to communicate intent. Effective protection depends on each service interpreting the rule, declaring that it respects it and applying the behavior in its crawler.
What site teams can prepare now
Before changing the production file, confirm which preference the business wants to express. A page can stay public for research and discovery, but have a different rule for training or for grounding in AI generated responses.
Validate robots.txt in a test environment and keep the current rules for search crawlers that need to access the site.
A broad block can remove pages from traditional results without stopping collection by services that do not follow the new token.
After publishing a rule, compare the file with the server access logs. Logs help identify which bots visit the pages, but they do not prove on their own that a service used or stopped using the content for training.
This discussion connects to changes in traffic in conversational search. See the report on AI Mode and Reddit's concern about traffic to the web.
Google also expands monetization of search. Read the news about AI Mode ads reaching new countries.
The next step is to track each vendor's dates and check the documentation for the crawlers the site actually receives. Until adoption takes effect, do not assume that inserting the token already changed a company's behavior.
Frequently asked questions about the training preference signal in robots.txt
What is the __usage_ai-training token?
It is a robots.txt identifier that sites can use to express preferences about how their content is used for AI training. Adoption depends on the services that choose to recognize it.
Does the __usage_ai-training token block crawlers?
No. The IETF draft describes the token as a use preference, not a crawling directive. robots.txt also does not replace authentication or a firewall.
When will Google and Microsoft recognize the new signal?
Google plans to support the signal in 2027, with no specific date announced. Microsoft said it will start recognizing it on February 1, 2027.
Does training preference change a page's presence in Bing search?
Microsoft says its training and grounding preferences do not change the normal eligibility of pages in Bing results.
What is the difference between AI training and grounding?
Training uses content to change the model's behavior. Grounding consults pages to inform a generated response, without necessarily incorporating that content into the model's parameters.
The common signal improves clarity, it does not replace access controls
Support from Google and Microsoft can reduce fragmentation of training preferences. Still, the draft is recent and companies announced different timelines.
For anyone who maintains a site, the priority is to decide which uses to allow and separate those choices from search rules.
The signal helps express the policy, but it does not replace server security. Validate any change before publishing it.
Instead of just following news like the new AI training signal, put AI to work for you at bridgecode.
Source: Google Search Central
Related articles

GitHub rebuilds Git storage for agents
GitHub announced its new Git storage architecture, Project Rubicon, capable of handling thousands of writes per second to a single repository.

Palette: IBM model learns to create slides in your style
IBM and Hugging Face released Palette, a 20 billion parameter model that generates presentations in code trained to follow the IBM Design Language.

OpenAI creates a standard for responsible AI infrastructure
OpenAI published a standard for responsible AI infrastructure with commitments on energy, water, workforce and communities.
