If you've been paying attention to how AI assistants like ChatGPT, Claude, and Perplexity discover and recommend websites, you've probably heard of llms.txt — a simple, standardized markdown file that tells AI models what your site is about, structured in a way they can actually parse instead of scraping your HTML and guessing.
I built a free tool to generate one automatically: LLMs.txt Generator. No signup, no email gate — paste your URL, get a clean llms.txt file back.
What's new
I just shipped a small but useful update:
- Live usage counter — a running count of how many llms.txt files have been generated through the tool, right on the page
- Recently generated sites — a live list of real websites that just used it, so you can see it's actually being used, not just a demo Small changes, but they make the tool feel a lot more "alive" instead of a static form.
Why llms.txt is worth doing now
AI-driven search and recommendation is becoming a real traffic channel, separate from classic Google SEO. The problem is most sites are only optimized for crawlers and human readers, not for LLMs trying to summarize or recommend them. An llms.txt file is a low-effort way to close that gap — it's basically a structured "about this site" doc for AI agents.
It's still early and adoption isn't universal, but it costs nothing to have one, and more AI crawlers are starting to look for it.
Try it
👉 https://netalith.com/tools/llms-txt-generator
It's free, takes a few seconds, and no account needed. Would love feedback from anyone who tries it — especially if you spot edge cases where the generated file could be better.
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