Sections
llms.txt is a proposed convention for a Markdown file at your site root that hands AI answer engines a curated map of your best pages: an H1 site name, an optional blockquote summary, then H2 sections of annotated links. Build a clean llms.txt file that helps AI answer engines and LLMs — ChatGPT, Claude, Perplexity and Google AI — discover your key pages. It is an AEO/GEO signal, and the Markdown builds live as you type, with copy and download. Everything runs in your browser.
Fill in your site name and a one-line summary — the summary becomes the > blockquote at the top of the file. Add optional details for a short intro paragraph, then build one or more sections such as Docs, Products or Guides. In each section’s Links box, put one link per line as Title | URL | optional description; the tool turns each line into a Markdown bullet like - [Title](URL): description. Empty fields are skipped, and the file builds live as you type. Copy the block or download llms.txt.
Upload the file to your site root so it is served at /llms.txt, the same place robots.txt lives. Remember that llms.txt is an emerging convention rather than a guaranteed standard — treat it as one signal that helps AI crawlers find your best pages, alongside a normal sitemap and robots.txt. Decide which AI crawlers may read those pages with AI Crawler Control, and make the answers on them easy to reuse with the FAQ schema generator.