The llms.txt Guide: What It Is and How to Use It

llms.txt is a proposed plain-text file you place at the root of your domain (like robots.txt) that offers AI systems a clean, curated guide to your most important content. The idea is to hand models a concise, structured map of who you are and what matters, in Markdown, instead of making them infer it from a sprawling site.

Be honest about the state of things: llms.txt is a community proposal, not a universally honored standard. Adoption by the major assistants is uneven, and publishing one does not guarantee a model reads it. Treat it as a low-cost, tidy way to state your key facts clearly, not as a magic switch for AI visibility.

• It can present a clean, quotable summary of your brand and key pages
• It can reduce ambiguity about what your most important content is
• It cannot force any model to use it, and support varies
• It does not replace crawlable pages, citations, or monitoring

Start with a tight summary

Open with an H1 of your brand name and a short blockquote describing what you do in one or two liftable sentences. This is the definition you want a model to repeat.

Link your most important pages, with context

Group links under headings (Product, Docs, Pricing, Comparisons) and add a short note after each so the model knows what it will find. Point to the clean, factual pages, not marketing fluff.

Keep it accurate and current

An llms.txt that states old pricing or a stale pitch is worse than none. Review it when your positioning, pricing, or key pages change.

Think of llms.txt as one clean signal among many. The heavy lifting in generative engine optimization is still clear crawlable content, credible citations, and ongoing monitoring. llms.txt is a cheap, sensible addition, not the strategy itself.

This guide is reviewed and updated monthly as adoption of the proposal evolves. Recent updates:

• 2026-07-03: Initial publication, with an honest assessment of adoption and a practical authoring checklist.