llmstxtdirectory.org

llmstxtdirectory.org

Make your website visible to AI in less than 30 seconds

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Most websites are invisible to AI assistants like ChatGPT and Claude. llms.txt is a new open standard that fixes this a simple file that tells AI what your website is about and how to use it. llmstxtdirectory.org makes it easy to get started. Generate a complete llms.txt file for free in seconds by pasting your URL. Check whether any website already has one, and explore a growing public directory of 80+ sites already using the standard.
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Free
Launch tags:Productivity•Marketing•SEO
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Wispr Flow: Dictation That Works Everywhere
Wispr Flow: Dictation That Works Everywhere
Stop typing. Start speaking. 4x faster.
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What do you think? …

whoisadamj
Maker
📌
Yo Product Hunt what's good 👋 Adam (@whoisadamj) here, I'm a Toronto-based builder and Chief Propaganda Officer at GhostShorts.com. I started experimenting with llms.txt on my own projects to see if it actually helped with AI visibility. My sites with it performed noticeably better and higher share of users arriving from AI tools (ChatGPT, Perplexity, etc.) than the ones without. Nothing crazy scientific, just what I noticed day-to-day. So I built a quick tool so other people could try it without friction. All free. No account. Done fast. So how does it work? 🤔 1. Paste your site URL into our generator 2. Hit enter and it will scan your entire site 3. Then it will spit out a llms.txt file you can download All in under 30 seconds. Many companies already have them live (you'll spot some big names like Anthropic, Cursor, Vercel, Supabase, and others in the directory). Link: https://www.llmstxtdirectory.org/ P.S. If your site has one (or you generated one using my tool), message me on X @whoisadamj and I'll add you to the directory for free. Thanks for checking it out. 🚀
Siyuan Cheng

Love to try out, can't miss the geo trend these days!

Easy Tools Dev

This is solving a real gap - SEO optimized sites for Google Search but completely missed the emerging distribution channel through ChatGPT, Claude, and Perplexity. The fact that Anthropic, Cursor, Vercel, and Supabase already have llms.txt files validates this isn't just experimental. The 30-second generation with no account requirement removes all friction. Curious how the scanner determines what content to prioritize in the llms.txt output - does it use heuristics like header hierarchy and page metadata, or does it analyze semantic importance of different sections?