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Llms.txt explained: the AI equivalent of robots.txt

Llms.txt emerged in 2025 as an open standard to point LLM crawlers at your most important content. Not a required spec, no ranking boost, but a strong citation signal to ChatGPT, Claude and Perplexity. Here's how to implement it.

Robots.txt tells search engines which pages they may or may not crawl. Llms.txt does something different: it's a kind of table of contents for AI models, with links to the pages most valuable to read. Not a block, an invitation.

What does an llms.txt look like?

It's a markdown file at the root of your domain (/llms.txt). A short H1 with your brand name at the top, an H2 with your positioning below, then sections with links to your most important pages: products, services, core topics, supporting docs. Length: 300-1,500 words. Keep it scannable.

Optional: llms-full.txt

Some sites also publish a full content dump (/llms-full.txt), all hero, service and FAQ copy in plain markdown. For LLMs that want more context before they cite. No SEO impact, so risk-free.

Does it work?

It's not a requirement yet. ChatGPT, Claude and Perplexity haven't officially confirmed llms.txt as a ranking signal. But more crawlers are reading it, and if your competitors have it and you don't, you miss a first-impression layer. Implementation time: 30 minutes. Downside: zero.

How to build one in 5 steps

  1. Write an H1 with your brand name ("# Acme Studio")
  2. Add an H2 positioning ("## Web design and SEO agency from Amsterdam")
  3. Add sections with markdown links: Services, Cases, Blog, Contact
  4. Place the file at /llms.txt (make sure content-type is text/plain)
  5. Reference it in your sitemap comments or robots.txt comments

What it is not

Llms.txt is not a replacement for your sitemap. It's not a permission system (use robots.txt User-agent: GPTBot Disallow: / if you really want to block). It's not a ranking factor in Google. It's a citation hint for LLMs crawling your industry.

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