AI SEO Glossary

AI SEO is an umbrella term covering all the ways search engine optimization has evolved in response to AI-powered search. It includes traditional technical SEO practices that still apply, layered with newer approaches like GEO, AEO, structured data optimization for AI, managing AI crawlers, and building content that gets cited rather than just ranked. AI SEO is not a replacement for SEO fundamentals. It is the extension of them into a landscape where the search result is increasingly a generated answer rather than a ranked list of pages.

Doing SEO for AI search engines starts with the same technical foundations as traditional SEO: fast load times, clean crawlability, strong internal linking, and solid domain authority. On top of that, AI SEO requires writing content that directly answers specific questions, structuring pages with clear headings and FAQ formatting, applying schema markup that helps AI parse your content accurately, managing which AI crawlers can access your site, building topical authority across your core subject area, and monitoring your presence across AI platforms as an ongoing practice rather than a one-time task.

Why it matters: Treating AI SEO as a separate discipline from SEO is the wrong framing. The brands winning in AI search are the ones that got their technical foundation right and then applied the newer layer on top.