Be discoverable
Strengthen crawlability, indexability, entities, and answer-ready content.
Technical AEO Guide
Understand llms.txt, its proposed purpose, limitations and how it fits into a broader AI visibility and AEO strategy.
Quick answer
llms.txt is a proposed convention for giving language-model systems a concise, curated map of useful website content. It is not a universal ranking signal, crawler permission system, or guarantee of AI inclusion. Treat it as an optional discovery aid alongside standard web accessibility, robots.txt, sitemaps, structured content, and strong information architecture.
Strengthen crawlability, indexability, entities, and answer-ready content.
Give AI retrieval systems clear facts, relationships, and structured context.
Track observable signals without pretending any platform guarantees citations.
robots.txt communicates crawler access preferences. An llms.txt file is intended as a content guide rather than an access-control mechanism.
If you publish one, point to a small set of high-value, canonical resources with useful descriptions.
A clean site architecture, useful content, entities, evidence, and crawlability matter regardless of whether a provider reads llms.txt.
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