---
title: Free llms.txt Generator (2026)
slug: llms-txt-generator
last_reviewed: 2026-06-30
author: editorial
source: LemAudit Free Tools
---

## Intro

`llms.txt` is the closest thing the web has to a sitemap aimed specifically at large language models. It's a single Markdown file at the root of your site — `https://yoursite.com/llms.txt` — that tells systems like ChatGPT, Claude, Perplexity, and Gemini which pages are the canonical, authoritative reference for your product, brand, or docs. The proposal lives at [llmstxt.org](https://llmstxt.org), and adoption is climbing fast across documentation sites, SaaS marketing pages, and developer tools.

The file has a fixed shape that takes about thirty seconds to learn and about thirty minutes to maintain by hand if you have any real number of resources. This generator removes both problems. You paste in the site name, an optional summary, and up to three sections of links (Docs, Examples, Optional). We output a spec-compliant Markdown file you can drop straight into your site root.

Three things matter when you write `llms.txt`:

1. **One H1 with the site name.** Not a tagline. Not "Welcome to". Just the brand or product name.
2. **A blockquote summary that fits in 1–2 sentences.** This is what the LLM uses when it has to decide whether to load the rest. Treat it like a meta description.
3. **Sections that link to URLs the LLM can fetch and read.** Each link gets an optional one-line description so the model knows what the page contains without fetching it.

That's it. There's no schema, no validator (yet), no Google Search Console for `llms.txt`. The whole standard fits on one page. What you get for the effort is consistent, predictable behaviour when an AI assistant is asked about your product: it loads the right docs page, quotes the right paragraph, links to the right pricing URL.

## When not to use this

Don't bother with `llms.txt` if your site has fewer than five resources worth pointing to. The whole point of the file is curation — telling the model "out of these 400 pages, these 12 matter". If you only have a homepage and a contact page, the LLM will find both on its own and you're spending time on a file no one reads.

Skip it too if your "docs" live inside a private dashboard behind auth. `llms.txt` can only point to publicly fetchable URLs. If your real reference is gated, build a public knowledge base first, then come back.

Finally, `llms.txt` doesn't replace `robots.txt`, sitemaps, or schema markup. It supplements them. A common mistake is to ship `llms.txt` and assume that fixes "AI visibility". It doesn't. Search-style retrieval — Perplexity, ChatGPT Search, Google AI Overviews — still walks your sitemap and runs schema parsers. `llms.txt` is the curated index you maintain by hand; the rest is automatic.

## FAQ

### Where do I put the generated file?

The file must live at the root of your domain — `https://yoursite.com/llms.txt`. Subdirectories don't count. If you're on WordPress, put it in the root via FTP or use a plugin that lets you serve raw files. If you're on Vercel, Netlify, or Cloudflare Pages, drop it into your `public/` or `static/` folder and redeploy.

### How do I know if anyone's actually reading it?

Check your server logs for requests to `/llms.txt`. You'll see hits from `GPTBot`, `ClaudeBot`, `PerplexityBot`, `Google-Extended`, and others. If you're using a CDN, filter your access logs by that path. There's no Google-Search-Console-equivalent for `llms.txt` yet, so log analysis is the only signal.

### Does this generator save my inputs?

No. The whole generator runs in your browser. Nothing is sent to our servers and nothing is logged. You can verify this in the Network tab of your browser devtools — there's no outbound request when you click "Generate".

### What's the right number of links?

The spec recommends keeping the file small enough that the model can load the whole thing in a single context window — practically that's under about 50 well-chosen links. If your docs site has hundreds of pages, link to the index pages (e.g. "API Reference") rather than every endpoint.

### Should I include the optional summary description on every link?

If you can write a sharp, distinctive one-liner per link, yes — it makes the index more useful. If you'd be padding, leave them blank. A clean list of titles beats a noisy list with vague descriptions.

### What's the difference between this and `robots.txt`?

`robots.txt` tells crawlers what they can and can't access. `llms.txt` tells LLMs which of the things they *can* access are worth their attention. The two files have completely different jobs and should both exist on a serious site.