Blog
Notes on getting quoted.
How AI answer engines read, pick and cite websites — with data from our own scans and fixes you can ship this afternoon. No fluff, indie to indie.
We analyzed 500 indie sites. Most are invisible to AI.
We ran the Kwotable analyzer against 500 indie maker sites. 68% block at least one AI crawler without knowing it, and only 12% score above 70. Here is what breaks, ranked.
Read the study →What is llms.txt — and should you care?
A plain-English look at the llms.txt proposal: what it does, who reads it today, and whether it is worth twenty minutes of your time.
5 min read →How Perplexity decides who gets cited
Perplexity cites its sources on every answer, which makes it the most observable engine out there. What we have learned from watching thousands of its answers.
6 min read →GEO vs SEO: what actually changes
Generative Engine Optimization is not SEO with a new coat of paint. The surface, the ranking logic and the unit of competition are all different.
5 min read →Your robots.txt is probably blocking AI crawlers
The most common — and most fixable — reason sites are invisible to AI: a two-line robots.txt rule someone added in 2023 and forgot about.
4 min read →The structured data AI engines actually read
Schema.org has hundreds of types. For getting cited by AI engines, about five of them matter. Here they are, with the markup to copy.
6 min read →