What Is llms.txt?
llms.txt is a simple way to guide AI systems toward useful website resources.
llms.txt is a proposed text file placed at the site root to help AI agents understand important pages, documentation, and machine-readable resources.
An llms.txt file can describe a website and link to key resources. It is optional and does not guarantee citations, but it may help AI agents navigate your content.
Check your website's AI discoverability signals.
Run a free scan for robots.txt, sitemap discovery, Link headers, Markdown readiness, and AI bot access.
Main Explanation
Think of llms.txt as a concise map for AI agents. It can point to product pages, docs, pricing, APIs, Markdown files, and policy pages.
The best files are short, clear, and maintained.
Why this matters for AI search
What Is llms.txt? matters because AI systems do not only look for keywords. They need accessible pages, clear explanations, stable source URLs, and passages that answer user intent directly.
When your content is easier to crawl and easier to summarize, it may become a better source candidate for answer engines and AI assistants.
Common mistakes to avoid
- Writing long introductions before answering the actual question.
- Hiding important content behind scripts, tabs, or gated UI.
- Publishing technical files once and never maintaining them.
- Using vague headings that do not match user questions.
- Forgetting internal links to related AI visibility topics.
Practical Steps
- Place it at /llms.txt.
- Describe your website in plain language.
- Link to important resources.
- Keep it updated when your site changes.
Practical example
A strong AI-ready page usually starts with a direct answer, then explains the context, then lists practical steps, examples, and related resources. This makes the page useful for humans while also giving AI systems cleaner passages to extract.
For example, if a page explains an optimization concept, it should define the concept, explain why it matters, show how to test it, describe common mistakes, and link to related implementation pages.
Recommended page structure
- Start with one clear H1 that matches the topic.
- Add a Quick Answer section near the top.
- Use an AI Summary section for concise machine-readable context.
- Break instructions into short steps and examples.
- Add FAQ questions that reflect real search and AI assistant prompts.
- Link to related pages so crawlers can understand the content cluster.
FAQ
Is llms.txt official?
It is an emerging convention, not a universal standard.
Should I include every URL?
No. Include the most useful and authoritative resources.
Can I link Markdown files?
Yes. Markdown links can be helpful for AI agents.