The llms.txt
generator.
Paste your app's URL and get a clean, AI-readable llms.txtbuilt from your own content: the short “about us” ChatGPT, Claude, Perplexity and Gemini read first. Run it right here, yours to publish.
What is an llms.txt file?
/llms.txt is an emerging standard: a plain-text introduction file at yourapp.com/llms.txt that gives AI a clean, curated summary of what your app is and which pages matter, like a short 'about us' an AI reads first. It follows the llmstxt.org shape: an H1 with your app's name, a blockquote summary, then sectioned lists of key pages. Most vibe-coded apps don't have one yet, which makes publishing one an early-mover edge.
A good one follows the llmstxt.org shape. This is the pattern getAdvantage publishes for itself at getadvantage.app/llms.txt:
# Your App Name > One-sentence summary of what your app does and who it's for. ## Key pages - [Home](https://yourapp.com/): What the app is. - [Pricing](https://yourapp.com/pricing): Plans and prices. - [Docs](https://yourapp.com/docs): How it works.
How to add an llms.txt to your app
- Generate: paste your URL above. The tool reads your page and drafts a starter
llms.txtfrom its own title, summary and headings. - Review and copy:tighten the summary and the key-page list so they read the way you'd describe your app, then copy or download the file.
- Publish: serve it at
yourapp.com/llms.txtastext/plain. On Lovable, Bolt, v0, Base44 or Replit, paste the contents and ask your builder to publish a file at that path.
Where do I put the llms.txt file?
Serve it at the root of your domain (yourapp.com/llms.txt) as plain text (content-type text/plain), so AI crawlers read it as a real file rather than an HTML shell. On Lovable, Bolt, v0, Base44 or Replit, paste the generated contents and ask your builder to publish a file at that exact path.
Will an llms.txt get my app recommended by ChatGPT?
An llms.txt makes your app more legible to AI, which is necessary but not sufficient on its own. Being recommended also takes machine-readable facts (JSON-LD), a clean heading structure, AI crawlers allowed in robots.txt, and real web presence over time. The generated file is an honest starting point you should review and tighten. It improves how assistants can read you; it can't guarantee any assistant's answer.
How is this different from working with getAdvantage?
This tool does one thing: generate a starter llms.txt. The full engagement measures all nine AI-readability signals an answer engine reads (title, meta, JSON-LD, headings, llms.txt, content ratio, Open Graph, canonical, AI-crawler access), we implement the fixes with you, and we prove the change. It starts with a call, not a checkout.
llms.txt is one of nine signals.
We measure all nine, fix what makes you invisible, and prove the change. Start with a call.