Website owners increasingly need to express how automated systems may use their public pages. In October 2026, Google announced plans to support a shared AI training control in robots.txt, based on work with other providers. The aim is to let publishers express AI training preferences in one place rather than maintain separate signals for every service.
What the announcement means for 2027
The announcement points toward a common way for participating crawlers to read a site’s preference about AI training. It is a direction for shared infrastructure, not a promise that every provider will adopt the same signal or that a setting will apply to every kind of automated use. Before changing production rules, check the current specification and each service’s documentation for supported user agents, syntax, and scope.
Review your current crawler policy first
Start by listing the crawlers your business cares about and the purpose each one serves. A provider may operate distinct crawlers for search indexing, user-triggered fetches, and model training. Review the provider’s published crawler documentation before blocking a name: a broad rule may affect search discovery or a product feature you intend to keep available.
Keep rules organized by crawler and purpose, with comments explaining the intended outcome. Check for overlapping groups and inherited rules, then test representative paths against the policy. A robots.txt file is public, so do not put private information or security controls in it.
Separate training preferences from search access
A training preference does not automatically determine whether a search crawler can fetch a page or whether a page appears in search results. Likewise, allowing a search crawler does not by itself express a preference about model training. Document these decisions separately and use the provider’s stated controls for each purpose.
Robots.txt is a request to compliant crawlers. It does not authenticate visitors, prevent scraping by actors that ignore it, or restrict access to confidential pages. Use authentication and server-side access controls for private material.
Make changes carefully
- Save a copy of the current robots.txt file and record the date and reason for the change.
- Read the latest shared-control specification and confirm which services recognize it.
- Preserve existing search crawler rules unless you intend to change search access too.
- Check syntax, user-agent matching, and important URL paths before publishing.
- After release, fetch the live file and monitor crawl logs and search reporting for unintended effects.
Do not rely on a single robots.txt directive as a legal agreement or as the only expression of a site’s usage terms. If your organization needs enforceable terms, consult the appropriate legal and product teams and publish those terms through the relevant channels.
A practical 2027 checklist
- Inventory crawler names and separate search, fetch, and training purposes.
- Follow the current shared-control specification and provider support notes.
- Keep robots.txt focused on crawler instructions; protect private content with access controls.
- Test changes against important public pages and check the deployed file.
- Record policy decisions and review them as providers update their crawlers.
A shared control could make publisher preferences easier to communicate. Its practical effect will depend on the final specification and adoption by individual providers, so keep policies explicit, testable, and reviewed as the ecosystem develops.
Primary sources: Google Search Central: Supporting a shared AI training control for websites · Google Search Central: Introduction to robots.txt.