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Free llms.txt generator

Fill in your site name, a summary and your key pages — get a spec-compliant llms.txt file to drop at your site root.

Key pages (label + URL + optional note)

What llms.txt is — and an honest note on adoption

llms.txtis a proposed standard for a markdown file at your domain root that gives AI systems a curated map of your site: an H1 with the name, a blockquote summary, and sections of annotated links. The pitch is reasonable — language models have small context windows and your site has hundreds of pages, so a human-curated index helps them find the canonical answer instead of scraping whatever ranks. But let's be honest about where adoption stands: a 2026 Ahrefs study found most llms.txt files are never fetched by AI bots, and none of the major AI providers have formally committed to reading it. If someone sells you llms.txt as an AI-traffic growth hack, they are selling vapor.

So why bother?

Because the cost is fifteen minutes and the downside is zero. That is the entire hedge math. The file is a few kilobytes of static text — no build step, no maintenance burden beyond updating links when your site restructures, no risk of hurting rankings (Google ignores it entirely). If the convention wins, early adopters have a well-curated file that agent frameworks and AI crawlers already understand. If it dies, you have lost nothing and gained a decent one-page summary of your own site, which is a useful editorial exercise in itself. This is the same posture we take in the full RankVitals audit: we check for llms.txt and note it as a low-severity, low-effort item — never as a critical issue.

How to write a good one

Keep it short and opinionated. The site name goes in the H1, and the blockquote should say what the site is and who it serves in one or two sentences — write it like the answer you wish an AI assistant would give when asked about you. Then list your key pages: product overview, documentation, pricing, your best guides. The per-link notes matter most, since they tell a model which page answers which question ("API reference with code examples", "pricing including the free tier"). Skip legal boilerplate, tag archives and anything you would not show a new customer. Generate the file above, save it as llms.txt, deploy it at the root, and verify it loads as plain text at https://your-site.com/llms.txt.

Frequently asked questions

What is llms.txt?

A proposed convention (from Answer.AI’s Jeremy Howard, 2024): a markdown file at /llms.txt that gives large language models a curated summary of your site — name, description, and links to the pages that matter, with notes. Think robots.txt’s helpful sibling: instead of saying what bots cannot do, it tells them where the good stuff is.

Do AI crawlers actually read llms.txt?

Mostly not yet — that is the honest answer. A 2026 Ahrefs study found most llms.txt files are never fetched by AI bots, and no major provider has committed to the standard. Some developer-tool crawlers and open-source agents do check it. Treat it as a cheap hedge, not a growth channel.

Where do I put the file?

At the root of your domain: https://your-site.com/llms.txt, served as plain text or markdown. Optionally add llms-full.txt with expanded page content. No registration or robots.txt change is needed.

Does llms.txt affect Google rankings?

No. Google has stated it does not use llms.txt, and it plays no role in traditional indexing. Its only audience is AI systems that choose to look for it. Your actual AEO levers remain structured data, crawlable content and clean robots directives.

What should I link in it?

The 5-15 pages you would show a new employee: product overview, docs or API reference, pricing, key guides, contact. Add a one-line note to each link — the notes are the point, they tell a model what each page answers.

Want the full picture?

This tool checks one thing. A full RankVitals audit runs a Lighthouse speed test plus 50+ SEO and AI-readiness checks on your whole site — free, no signup.

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