AIMentions.today
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llms.txt Generator

Build a spec-correct llms.txt for your site — the plain-text map AI systems read. Fill in your details, watch the live preview, then copy or download the file.

Key pages
Docs & policies (optional)

Live preview

# Your Site Name

Save this as llms.txt and upload it to your site root so it’s served at yourdomain.com/llms.txt.

llms.txt is step one. Can AI read the rest of your site?

A blocked crawler or JavaScript-only content makes your llms.txt moot. Check whether AI can actually read your site — then see whether ChatGPT, Gemini, and Claude recommend your brand.

What is llms.txt — and where does it go?

llms.txt is a plain-text markdown file that gives AI systems a curated map of your site. robots.txt tells crawlers what they may access; llms.txt tells AI what they should read: your name, a one-line summary in your own words, and your key pages with notes. Put the file at your site root so it’s served at /llms.txt — the same place robots.txt lives. See a live example at aimentions.today/llms.txt.

What is llms.txt?

llms.txt is a plain-text markdown file that gives AI systems a curated map of your site: what it is, what it does, and which pages matter. Where robots.txt tells crawlers what they may access, llms.txt tells AI systems what they should read. The format is an H1 with your site name, a blockquote summary, and markdown sections listing your key pages as links with short notes.

Where do I put the llms.txt file?

At your site root, so it is served at https://yourdomain.com/llms.txt — the same place robots.txt lives. Download the file this generator produces and upload it to your web root (for most frameworks, the public/ folder). You can see a live example at https://aimentions.today/llms.txt.

Do AI systems actually read llms.txt?

Adoption is growing: llms.txt is an emerging standard, and a rising number of AI crawlers and answer engines check for it. It takes a few minutes to add, cannot hurt, and gives AI systems a clean summary of your site written by you — instead of leaving them to infer it from raw HTML.