Describe your site, get a standard llms.txt to copy or download. Built entirely in your browser, nothing is uploaded.
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llms.txt takes two minutes with this page. Readyt handles the part that actually moves AI answers: getting your brand into the Reddit threads ChatGPT and Perplexity quote.
One well-placed comment pays for Readyt for a decade. Every week you wait, a competitor plants theirs.
The llms.txt Generator creates a standard llms.txt file for your website in a few seconds, entirely in your browser. llms.txt is a proposed plain-text standard, introduced by Answer.AI cofounder Jeremy Howard in 2024, that sits at the root of your site and hands AI systems a curated map: your name, a one-line description, and the pages that matter most. Think of it as a cousin of robots.txt and sitemap.xml, written for language models instead of search crawlers. Fill in the form above, copy or download the file, and upload it to your site root. Nothing is sent to any server.
llms.txt is a markdown file with a simple, predictable shape: an H1 with your site name, a blockquote with a short summary, then sections of links to your most important pages. That structure is the whole point. Web pages are built for browsers, full of navigation, scripts and layout that language models have to wade through. llms.txt strips all of that away and offers the same information in the format models parse best: clean text and clear links.
The proposal exists because context is scarce. When an AI system wants to understand a site, it cannot read hundreds of pages. A single curated file that says "here is who we are, here is what matters" is cheaper to fetch and harder to misread. That is also why the format asks you to pick a handful of main pages rather than dump your entire sitemap.
Adoption is real but early. A growing number of sites have published one, documentation platforms generate it automatically, and several AI companies publish llms.txt files for their own docs. What you should not assume is that ChatGPT, Claude or Perplexity currently fetch your llms.txt every time they answer a question about your category. No major assistant has publicly confirmed that, and honest GEO advice has to say so.
So treat llms.txt the way early site owners treated robots.txt: cheap groundwork for a standard that may matter more each year. It takes a few minutes, it cannot hurt you, and agent-style tools that visit sites directly can already make use of it. Just do not file it under "AI strategy, done."
Download the file this generator produces and upload it to the root of your domain, so it loads at yourdomain.com/llms.txt, exactly like robots.txt. It is plain UTF-8 text, no special headers needed. On most hosts that means dropping it in your public folder; on frameworks like Next.js it goes in the public directory.
Then open the URL in a browser to confirm it serves correctly, and revisit it whenever your key pages or positioning change. A stale llms.txt that points at dead pages is worse than none at all.
AI assistants build answers from sources they already read and trust: forums, review sites, comparison posts, documentation. Reddit sits at the top of that pile, accounting for 40.1% of LLM citations according to Semrush. Your llms.txt describes your brand in your own words. A Reddit thread where real users recommend you is someone else's words, and that is what the engines actually quote.
The playbook that works is both: publish llms.txt as hygiene, then earn presence in the sources. The free tools below show you where you stand today, and the Readyt blog covers the full approach. When you want the thread-by-thread work done for you, that is what the paid Readyt platform is for.
llms.txt is a proposed plain-text standard for guiding AI systems, introduced in 2024. It is a markdown file at your site root containing your site name, a short description, and links to your most important pages, so language models get a curated summary instead of parsing your full site.
Adoption is emerging. A growing number of sites publish one and some AI tools fetch it, but no major assistant has publicly confirmed using llms.txt in its answers. Treat it as inexpensive groundwork for your AI visibility, not as a guarantee of being cited.
At the root of your domain, so it resolves at yourdomain.com/llms.txt, the same place as robots.txt. It is a plain UTF-8 text file with no special requirements. Upload it, open the URL to confirm it loads, and update it when your key pages change.
No. AI engines assemble answers from sources they already read, and Reddit alone accounts for 40.1% of LLM citations according to Semrush. Publish llms.txt as a foundation, then focus on being mentioned in the threads and sources AI actually quotes.