No results found
Try adjusting your search terms or category filter
We've curated 1,300+ websites using llms.txt to improve AI-driven search and SEO optimization. By implementing llms.txt, site owners save time on content generation, gain more organic traffic and strengthen their AI SEO strategy. Whether you're focused on keyword research, link building or optimizing content for search engine optimization our directory helps you stay ahead.
Try adjusting your search terms or category filter
If you've been working in SEO or digital marketing for a while, you've probably noticed how quickly things are shifting. Google updates used to be the big worry. Now? It's AI search engines like Perplexity or even when someone asks ChatGPT about your brand. More and more people are asking AI instead of Googling — especially for anything research-heavy.
The tricky part is that these systems don't crawl the web like Google does. They need a little help. That's where llms.txt comes in — it's a simple file that tells AI systems what your site is about and how they can use it.
I'll be honest: the first time I heard about llms.txt, I thought, “Great, another SEO thing to keep track of.” But after digging in, it started making sense.
It's not magic, and it won't replace your usual SEO strategy like link building or keyword research. But it fills a gap that old tools like robots.txt just weren't built for. Plus, it helps AI systems find and cite your content instead of ignoring it.
If you're already managing Google Search Console, publishing content, or optimizing pages, adding llms.txt is a low-lift task.
Think of it like this:
SEO optimization → tells Google what to index.
llms.txt optimization → tells AI what’s safe and useful to learn from.
The nice thing is, it also saves time. Instead of answering the same “Can AI use my site?” question in endless ways, you set the rules once.
One interesting side effect: I’ve seen writers and creators start using their own llms.txt files almost like a portfolio. Instead of just hoping AI systems cite them, they’re structuring their best content to be “AI-ready.”
It reminds me a bit of when sitemaps first started gaining traction — at first, only the technical folks cared. Then marketers realized it gave them more control. I think llms.txt is on that same path.
llms.txt.That’s it. No special tool required — though there are free generators if you’d rather not hand-write it.
Will it solve every AI SEO challenge? Probably not. But it’s one of those small, forward-looking moves that could pay off, especially as AI-driven search keeps growing.
If you already have llms.txt set up, consider submitting your site to our directory. And if not, maybe block 15 minutes this week to try it out. Worst case, you’ll learn something new. Best case, you’ll get your content positioned for the future of search engine optimization.
llms.txt is a plain text file placed in a website's root directory that provides structured information to AI language models about how to use and cite the site's content. Similar to robots.txt for web crawlers, llms.txt is specifically designed for AI systems like ChatGPT, Perplexity, Claude, and Gemini.
Create a plain text file named llms.txt in your website's root directory (accessible at yoursite.com/llms.txt). Include a clear description of your site, main content areas, AI usage guidelines, and contact information. Keep it under 2,000 tokens for the standard file, and use llms-full.txt for comprehensive documentation.
Yes. llms.txt improves AI SEO (also called GEO — Generative Engine Optimization) by helping AI search engines like Perplexity, ChatGPT Search, and Google AI Overviews understand and cite your content. Sites with llms.txt implementations have reported up to 15% increases in organic traffic from AI-driven search.
llms.txt is a concise overview of your site (recommended under 2,000 tokens) covering essential information. llms-full.txt is an optional extended version with comprehensive documentation, detailed API specs, and extensive content. Think of llms.txt as an executive summary and llms-full.txt as the full report.