Answer engine optimization (AEO): ranking in ChatGPT, Perplexity, and AI Overviews
More searches every quarter end inside an AI answer instead of on a results page. Answer engine optimization is the discipline of being the brand those answers cite. It is younger than SEO, mostly built from SEO parts, and already splitting into real practice versus label-ware. This is the real practice. ## How answers actually get built Understanding the machine tells you what to optimize. When an answer engine handles a query, it retrieves candidate sources from the indexed web, synthesizes an answer, and attaches citations to the claims it kept. Three implications: You have to be retrievable, which mostly means ranking and being crawlable. You have to be quotable, meaning your pages state answers directly enough to lift. And you have to be credible, because engines weight authority signals when choosing what survives synthesis. No submission process exists. No paid inclusion exists. Anyone selling guaranteed citations is selling weather. ## The five optimizations that move the needle **1. Answer-first structure.** Put the direct answer in the first hundred words under a heading that matches the question. Follow with depth. Engines lift the tight answer; humans stay for the depth. This single change does more than everything else combined for most sites. **2. Entity consistency.** Engines resolve brands into entities. Your name, description, and facts should match across your site, schema markup, and the profiles engines trust. Contradictions dilute the entity. Schem