llms.txt

Why it matters

AI assistants increasingly cite the web. Without a clear map, they may miss your best docs or misrepresent your product, llms.txt is a lightweight discovery layer complementing sitemaps and structured data.

How it works

Publish `/llms.txt` at your site root with a short summary and links to your most important pages, pricing, docs, features, and definitive guides. Optionally add `llms-full.txt` with longer descriptions. Update the file when you ship major product or pricing changes.

Common mistakes

• Pointing llms.txt at staging or broken URLs.
• Listing every blog post instead of canonical hubs and docs.
• Blocking all AI crawlers while expecting citations.
• Never updating llms-full.txt after major product repositioning.

Best practices

• Highlight docs, pricing, features, and definitive guides.
• Mirror llms content to actual public routes only.
• Pair with strong entity and Article schema on cited pages.
• Review crawler policy quarterly as bots evolve.

Learn Domains perspective

FAQ

Is llms.txt required for AI visibility?

Emerging convention, not mandatory, but low-cost discovery insurance alongside good content.

llms.txt vs sitemap?

Sitemaps list URLs for search; llms.txt curates what matters most for language model context.

Does Learn Domains generate llms.txt for customer sites?

No, you publish llms.txt on your own marketing domain. Learn Domains helps you keep the product facts on those pages accurate through your vault.

Next steps

1. 1List your three most important public pages, pricing, docs, flagship feature.
2. 2Publish llms.txt on your marketing domain pointing to those URLs.
3. 3Update the file after your next pricing or positioning change.