Is this generator free?

Yes. The whole tool runs in your browser — no signup, no API call, no logging, no email gate. The file is built client-side and copied or downloaded directly. We do this because the broader product (GEO Tracker AI) measures whether your brand actually gets cited by ChatGPT, Perplexity, and Google AI Mode — which is the part you cannot verify just by writing a good llms.txt.

Free tool · No signup

llms.txt generator — for AI search visibility

Q: What is llms.txt?

llms.txt is a plain-text file you host at the root of your website (yourdomain.com/llms.txt) that gives AI agents a navigational map of the resources on your site, in Markdown. It is the AI-era equivalent of a sitemap: a one-page summary of who you are and which pages matter, designed for single-fetch ingestion instead of crawl-by-link. The convention was proposed in 2024 at llmstxt.org and is now supported (informally) by every major AI engine that indexes the open web.

Q: Where do I put the llms.txt file?

At the root of your domain, served as text/plain at yourdomain.com/llms.txt. On Next.js / Vercel you can either drop it in public/llms.txt for a fully static file, or build a dynamic version via an app/llms.txt/route.ts handler if you want the contents to update automatically from your CMS or content collection.

Q: What is the difference between llms.txt and llms-full.txt?

llms.txt is the navigational map (links to resources). llms-full.txt is the full Markdown content of those resources concatenated into one document, intended for AI agents that prefer single-fetch ingestion over crawl-by-link. Most sites start with just llms.txt; sites with deep documentation benefit from publishing both.

Build a llmstxt.org-compliant file for your site in 60 seconds. Everything runs in your browser — no signup, no email gate, no API call. Built and maintained by GEO Tracker AI, who measure whether ChatGPT, Perplexity, and Google AI Mode actually cite your brand.

Live preview as you type

Client-side only · no data leaves your browser

Copy or download · drop in your site root

Use this tool if

• You're on WordPress, Webflow, Framer, plain static HTML, or any site where you write content by hand.
• Your site has ~10–30 pages worth listing — you'll write descriptions yourself.
• You don't have an auto-generated llms.txt pipeline yet and want a quick first version.

Skip this tool if

• You already auto-generate llms.txt from a CMS, content collection, or build step (Next.js dynamic route, Sanity / Contentful pipeline, Hugo / Astro build).
• Your docs change weekly and you have 50+ pages worth listing — manual will drift fast.
• See the dynamic-route pattern in the guide instead.

Inputs

First time? Read this 30-second guide

What is llms.txt? A plain-text file you host at the root of your site (yourdomain.com/llms.txt) that gives AI agents a Markdown map of which pages matter. Like a sitemap, but for AI. Not a ranking signal — a courtesy that helps the AI agents that do read it cite you accurately.

Fill the basics — brand name, homepage URL, one-sentence tagline.
Add 5–15 key pages — the ones you want AI to know about. For a SaaS that's docs, pricing, top blog posts. For a recipe site that's category hubs and your best recipes. For an agency that's services and case studies.
Copy or download — drop the file at yourdomain.com/llms.txt.

Need more detail? The full setup guide covers WordPress / Webflow / Next.js setup, common mistakes, and how to verify it works.

Stuck? Click Load example above to see how a SaaS, content site, or agency would fill this out.

Brand name (required)

The name of your site or business as you want it cited in AI answers. Plain text, no marketing tagline — just the name.

Homepage URL

The root URL of your site. We use it to turn relative paths like /docs or /about into full URLs in the output. Paste with or without https:// — we add it.

One-line tagline (the "> blockquote" line)

AI uses this as the canonical summary of your brand. Avoid marketing words — write like a librarian, not a press release. Concrete numbers and categories beat adjectives.

Reference content — concepts, methodology, how things work. For a content / media site this is also where category hubs go (e.g. /category/main-courses).

Examples — SaaS: /docs/getting-started, /docs/api · Recipe blog: /category/main-courses, /category/soups · Agency: /services/brand, /services/web

Resource 1
URL or path on your site. Relative paths get prefixed with your homepage URL above.
Short title of the page. What an AI agent sees as the link text.
Concrete beats vague — "5,000+ tested recipes" beats "great content".

Pages about what you sell or offer — features, pricing, comparison pages, plans.

Examples — SaaS: /pricing, /features/x · Content site: top-performing collections or seasonal hubs · Agency: /work, case studies

Resource 1
URL or path on your site. Relative paths get prefixed with your homepage URL above.
Short title of the page. What an AI agent sees as the link text.
Concrete beats vague — "5,000+ tested recipes" beats "great content".

Long-form content — blog posts, tutorials, guides, case studies. Pick your 5–10 most useful, not all of them.

Examples — SaaS: top blog posts · Content site: most-loved articles or recipes · Agency: a few signature case studies

Resource 1
URL or path on your site. Relative paths get prefixed with your homepage URL above.
Short title of the page. What an AI agent sees as the link text.
Concrete beats vague — "5,000+ tested recipes" beats "great content".

Less-critical but useful pages — sitemap, About, contact, robots.

Examples — /sitemap.xml, /about, /contact, /robots.txt

Resource 1
URL or path on your site. Relative paths get prefixed with your homepage URL above.
Short title of the page. What an AI agent sees as the link text.
Concrete beats vague — "5,000+ tested recipes" beats "great content".

Generated llms.txt

Drop in your site root as /llms.txt

# Your brand

Output follows the llmstxt.org spec — a single H1 brand name, an optional blockquote summary, then H2 sections of bulleted resources. No backend call; everything is generated in your browser. Your inputs auto-save to this browser's local storage so an accidental refresh won't lose your work — use Reset to clear.

The honest part — what llms.txt does and does not do

llms.txt is a useful courtesy. It is not a ranking signal in Google AI Overviews or Google AI Mode, and shipping a perfect file does not guarantee citations in ChatGPT or Perplexity. The piece that does move the needle is whether AI engines actually cite your brand for the buyer-questions your prospects ask — and that requires measurement, not a static file.

What is llms.txt?

A plain-text file you host at the root of your domain (yourdomain.com/llms.txt) that gives AI agents a Markdown map of the resources on your site. It is the AI-era equivalent of a sitemap: a one-page summary of who you are and which pages matter, designed for single-fetch ingestion. The convention was proposed in 2024 at llmstxt.org.

Does Google or Bing use llms.txt for ranking?

No. Google has explicitly said llms.txt is not used for ranking, and Bing has not endorsed it as a ranking signal. The value is presenting your site clearly to the agents that do read it (Anthropic Claude, Perplexity, smaller open-source crawlers, MCP clients, and AI research agents). Treat it as a courtesy that costs nothing to ship and helps the agents that do read it cite you accurately.

Where do I put the file?

At the root of your domain, served as text/plain at yourdomain.com/llms.txt. On Next.js / Vercel you can either drop it in public/llms.txt for a fully static file, or build a dynamic version via an app/llms.txt/route.ts handler if you want contents to update automatically from your CMS or content collection.

llms.txt vs llms-full.txt — which one?

llms.txt is the navigational map (links to resources). llms-full.txt is the full Markdown content of those resources concatenated into one document, intended for AI agents that prefer single-fetch ingestion over crawl-by-link. Most sites start with just llms.txt; sites with deep documentation benefit from publishing both.

How do I verify it actually works?

By measuring whether AI engines cite your brand on the buyer-questions that matter to your business. Hosting a file does not prove citation. We built GEO Tracker AI for exactly this — controlled benchmark scans through ChatGPT, Perplexity, and Google AI Mode, with Share of Voice and AI-citation tracking. Or run a free 60-second audit on the link below.

Disclaimer & limits

This is a free helper that produces an llmstxt.org-compliant file at the time of our most recent review (2026-05-13). A few honest notes so expectations are right from day one:

Publishing an llms.txt does not guarantee citations in AI engines. Google has stated it is not a ranking signal for AI Mode or AI Overviews, and there is no public confirmation it influences ChatGPT, Perplexity, Copilot, or Gemini rankings. Citations depend on dozens of factors — domain authority, entity clarity, structured data, content quality, citation footprint in third-party sources — none of which a static file directly controls.
Spec changes faster than tools. The llms.txt convention is informal and unversioned. Vendors (Anthropic, Perplexity, OpenAI, Google) occasionally tweak how they consume related files such asllms-full.txt or robots.txt rules for AI crawlers. We monitor these changes and update the tool when they happen, but cannot promise the tool always reflects the absolute latest practice — verify vendor docs for anything mission-critical.
Output is not validated. We don't check the URLs, titles, or descriptions you enter. Typos, broken links, or inaccurate descriptions in your output are your responsibility to catch before publishing. Run a manual fetch of yourdomain.com/llms.txt after deploy to confirm the file is reachable.
Provided as-is. The tool is provided free of charge without warranty, express or implied. We accept no liability for outcomes related to AI search visibility, organic ranking, or business results that follow from using or not using this file.

The reliable way to know whether AI engines actually cite your brand is controlled measurement — not a static file.

Next step

You shipped llms.txt. Does AI cite you now?

Most teams ship GEO work and never verify it. A perfect llms.txtdoes not guarantee ChatGPT cites you for "best X for Y" — the only way to know is to ask the engines on a fixed prompt panel and measure Share of Voice over time. Free 60-second audit, no card required:

Run a free AI audit Read the setup guide