AI discovery works when a site gives crawlers and answer engines structured, quotable, current facts about what exists, who it helps, and what proof supports it. A sitemap is necessary. It is not enough.
Generative Engine Optimization is mostly discipline. Say the answer early. Use real names. Add structured data. Keep public proof current. Make the commercial next step obvious.
The AI-readable stack
/sitemap.xmlfor canonical crawl coverage/llms.txtfor answer-engine context/ai-sitemap.jsonfor structured products, repos, and posts- JSON-LD for Organization, WebSite, Article, Service, Product, and FAQ entities
- Direct-answer paragraphs at the top of pages and posts
The tradeoff is maintenance. These files cannot be aspirational. If the repo list changes, the proof layer needs to change with it.
GEO is strongest when it is useful to humans too
Answer engines and human readers both reward the same thing: specific claims with clear evidence. "We build AI tools" is weak. "We build MCP servers, video automation, localization QA, repo diagnostics, and open-source tools backed by public KyaniteLabs repositories" is stronger because it can be checked.
FAQ
What is GEO?
GEO, or Generative Engine Optimization, is structuring web content so AI answer engines can accurately summarize, cite, and route users to it.