llms.txt Explained: Should Your Site Have One?
llms.txt tells AI which pages matter. Do engines read it yet, is it worth adding, and what actually controls AI crawler reach.
Practical SEO, AEO, and content playbooks for founders, from an operator who runs the same engine in production at The Gourmet Host. What actually moves rankings and earns AI citations, in the order you should do it.
llms.txt tells AI which pages matter. Do engines read it yet, is it worth adding, and what actually controls AI crawler reach.
Ranking and getting cited come from the same three moves, in order: match intent, make it readable, then wire the links.
Rebuild your FAQ block for AI extraction. Make each question a real query and each answer a self-contained unit engines can lift.
Google rewrites weak titles anyway. The right length, why it happens, and how to win the click from wherever you rank.
Engineer the one sentence AI lifts word for word. Name the term, stay self-contained, place it right, and pass the cold-read test.
Match the intent Google rewards or a well-built page never ranks. The four types of search intent, and how to read each one.
AI engines cite tables and ranked lists more than prose. How to build a comparison table an LLM can lift cleanly, and why structure wins.
Internal linking, done on purpose: how each link passes authority and relevance, where to point it, and how to fix orphan pages.
Good pages lose before drafting. A four-pass scan of the SERP for intent, format, features, and whether you can win it.
Autocomplete, People Also Ask, related searches, the SERP itself. Find demand you can win without paying for a single tool.
A short call. We map where your winnable demand is, what is holding your visibility back, and what it would take to capture it.