llms txt
/llms.txt is a proposal by Jeremy Howard of Answer.AI (published 3 September 2024; v2 modified 10 August 2026) for a markdown file at a site root or path that points agents to LLM-friendly markdown versions of key pages; v2 adds discovery through rel="describedby" and rel="alternate" type="text/markdown" links or Link headers. Google Search does not use it: since June 2026 Google's AI optimization guide says Search does not use such machine-readable or AI text files and that they neither help nor hurt visibility. John Mueller had compared llms.txt to the keywords meta tag in April 2025. Its documented uses are agentic. Chrome Lighthouse's experimental Agentic Browsing category checks /llms.txt, where a 404 counts as not applicable and only a server error fails. The AI labs and documentation platforms publish it for developer docs. We located no answer engine that documents using it for retrieval or ranking.
What we observe across audited sites
17 of 64 sites served an llms.txt file. Measured on 18 September 2026 on 64 well-known public websites, from Vercatus's own network; a probe shows what a site served to a request with that crawler's user agent, not what the vendor's own servers receive. How it was measured.
Sources
- 1
- 2Google Search Central: Optimizing for generative AI features on Search (AI optimization guide) (2026)developers.google.com
- 3Google Search Central: Search documentation updates (June 2026, Clarifying guidance on llms.txt files) (2026)developers.google.com
- 4
- 5Search Engine Journal: Google says llms.txt comparable to keywords meta tag (2025)searchenginejournal.com
AGrade A: official documentation or a standard. A grade describes the provenance of the sources above; it is not a probability that a change will work. The effect basis says how the size of the effect is known: measured by a study, taken from an industry report, only documented without a size, or not quantified.
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