The idea echoes robots.txt and sitemaps, but is aimed at LLMs rather than crawlers: a clean, curated Markdown index that points models to your key documentation, articles or product pages. It is a proposal rather than an official standard, and support varies across engines. Still, for teams focused on AEO and GEO, publishing an llms.txt is a low-cost way to make your best content easier for AI systems to discover and reference.
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For the full playbook, see llms.txt. Back to the SEO & AEO glossary.
FAQ
Is llms.txt an official standard?
No. llms.txt is a community proposal introduced by Jeremy Howard of Answer.AI in September 2024, not an official web standard. Adoption and support across AI engines vary, so it is best treated as an optional, low-cost addition to your AI-visibility efforts rather than a guaranteed requirement.
How is llms.txt different from robots.txt?
robots.txt tells search engine crawlers which parts of a site they may or may not access, focused on permissions. llms.txt instead offers large language models a curated Markdown list of your most important content, focused on guidance and prioritization. One restricts crawling; the other highlights what matters most.
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