229: Does llms.txt Work? What 137,000 Domains' Server Logs Show

Most of what's sold as AI search optimization has never been tested by the people selling it, and this episode is me checking the biggest one against server logs. Ahrefs looked at 137,000 domains in June: 97% of llms.txt files got zero requests in May, and the biggest readers of the rest were SEO audit tools. I also lay out the line I use to sort every pitch: a hack tries to influence what the machine says about you, architecture changes what a machine can read and do on your website. **Chapters** 00:00 The AI optimization economy and its zero evidence 02:50 llms.txt checked against 137,000 domains 06:00 The main readers of llms.txt are SEO audit tools 08:53 Why this market keeps producing hacks 10:23 Visibility scores and the prompt problem 12:43 Every generation of hacks dies the same way 15:08 What survives model updates 18:39 The mirror: fix what the internet thinks you are **Key Numbers** - 137,000 domains in Ahrefs' June 2026 server-log study - 28% had a valid llms.txt file, and that number is the ceiling, their customers skew technical - 97% of those files got zero requests in May, not low traffic, zero - Of the 3% that got fetched, around 22% of the readers were SEO audit tools, the tools that flag you for not having the file - My own Cloudflare logs at nohacks.co show the same thing, nobody fetches it **Three Takeaways** 1. The pitch is a screenshot, the truth is in the logs. Before you pay for any AI visibility work, ask for evidence at the level of server logs, and watch what happens. 2. A hack tries to influence what the machine says about you. Architecture changes what a machine can read and do on your website. The first is rented and dies at the next model update, the second is owned. 3. LLMs are a mirror of everything happening online. If ChatGPT doesn't call you the best X for Y, the honest question is whether the internet agrees you are, and that's the problem worth fixing. **What to Do** - Sort anything you bought or got pitched this quarter with one question: does it change what a machine can read and do on the website, or what the machine says about it? - Ask any vendor for their evidence before money leaves your account. Logs, tests, a mechanism, the same bar you'd use for anyone touching revenue. - Check your own server logs for who actually fetches your llms.txt, it takes five minutes - Try this: open free ChatGPT logged out of search, type "what is \[your name] known for," and send me the screenshot at [hi@nohacks.co.](mailto:hi@nohacks.co.) I want to see what you get. **Sources** - Ahrefs llms.txt server-log study (June 2026): https://ahrefs.com/blog/llmstxt-study/ - My identity-vs-capability piece: https://nohacks.co/blog/agentic-web-identity-vs-capability - Weekly newsletter: https://nohacks.co/subscribe No Hacks is a publication about the agentic web. Articles, a weekly podcast, and a newsletter for SEO, CRO, and web professionals who want to stay visible, trusted, and findable as agents take over. Hosted by Slobodan "Sani" Manic. Subscribe at https://nohacks.co/subscribe