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robots.txt and llms.txt for AI crawlers
Blocking GPTBot and then asking why ChatGPT does not cite you is a common own-goal. Here is what those files actually do — and what they do not.
Two small text files at the domain root now show up in many “are we ready for AI search?” checklists: robots.txt and llms.txt. One is a decades-old crawler-directive standard. The other is a newer, unofficial map. Neither is a security boundary, and mixing them up wastes a sprint.
robots.txt controls compliant crawlers
robots.txt tells crawlers which paths they may request. Search engines have honored the convention for a long time. AI vendors added their own user agents on top of the usual Googlebot.
The names that matter depend on the product behavior you want to allow:
- OAI-SearchBot for ChatGPT search discovery and GPTBot for potential model-training use. ChatGPT-User handles user-initiated visits and is not an automatic crawler; OpenAI says
robots.txtrules may not apply to those requests. (OpenAI crawler documentation) - Google-Extended, a control token for Gemini model training and grounding. It does not affect Google Search inclusion or ranking and does not have a separate HTTP user agent. (Google crawler documentation)
- ClaudeBot for potential model-training use, Claude-SearchBot for search, and Claude-User for user-directed retrieval. (Anthropic crawler documentation)
- PerplexityBot for search discovery and Perplexity-User for user-initiated retrieval. Perplexity says the latter generally ignores
robots.txt. (Perplexity crawler documentation) - Applebot-Extended
- CCBot (Common Crawl, which many models have used as source material)
A Disallow: / asks a named, compliant crawler not to request the site. It does not authenticate visitors, remove content already indexed, or stop a user-directed fetch that the provider treats differently. Sites sometimes copy a “block AI” snippet from a privacy post and later wonder why search products cannot discover their service pages. Decide separately whether you want to allow training, automatic search indexing, and user-directed retrieval.
Googlebot and Google-Extended are not the same allow-list. You can stay in organic search and still opt out of extended use. Read the group you actually edited.
Also check the boring misses: a wildcard Disallow: / meant for staging that shipped to production, or a sitemap URL in robots.txt that 404s.
llms.txt is a map, not a ranking lever
llms.txt (and sometimes llms-full.txt) is a Markdown file at the site root. The emerging convention is a short, human-and-model-readable table of contents: what the organization is, which pages matter, how to describe products or service areas.
It may be useful the way a clean sitemap and honest about page are useful, especially for agents navigating documentation. It is not a switch that inserts a business into ChatGPT, and the published specification still describes itself as a proposal. Treat it as an optional experiment, not a technical SEO defect. (llms.txt proposal)
If you add one, keep it true:
- Use the same name, address, and phone you use everywhere else.
- Link to canonical service and location pages, not a junk drawer of parameters.
- Do not stuff keywords. A model that reads the file can also read that you stuffed it.
An empty or auto-generated llms.txt that disagrees with the homepage is worse than none.
What to check on Monday
- Fetch
https://yourdomain/robots.txt. Search for the AI user agents above. Confirm you did not disallow/unless that is the policy. - Fetch
https://yourdomain/llms.txt. 404 is common. That is a gap, not an emergency. - Confirm
sitemap.xmlis live and lists the URLs you actually want retrieved. - Look at schema on the homepage and key service pages (
LocalBusinessorOrganizationwhere accurate).FAQPagemust match visible FAQ content, and Google now limits FAQ rich results mainly to well-known government and health sites. (Google's FAQ guidance)
Crawler access is one eligibility input for products that use that crawler. Citation is a different problem — content quality, listings, third-party corroboration, indexing, and each provider's retrieval and ranking systems. Check access first so you are not debugging visibility while the relevant search crawler is turned away.