01Definition of AI Search Optimization
AI Search Optimization (sometimes called AISO, GEO, or AEO) is the discipline of making a brand visible inside generative answer engines. Unlike classic SEO, which optimizes for a ten blue links interface, AISO optimizes for a single AI-written answer that may cite zero, one, or several sources. Winning AISO requires entity identity, structured data, and AI-quotable content blocks.
02How AI engines pick which brands to cite
ChatGPT, Perplexity, Gemini, and Claude blend a retrieval layer (search) with a reasoning layer (LLM). The retrieval layer prefers structured, authoritative, well-cited sources. The reasoning layer prefers content that is dense, specific, and quotable in 40 to 80 word blocks. Brands that supply both signals are cited disproportionately.
03Core AISO components
1) Entity SEO: Wikipedia, Wikidata, sameAs links, Organization and Person schema. 2) AI-readable content: TL;DR blocks, FAQ blocks, and answer blocks engineered for verbatim quoting. 3) Structured data: Organization, Service, FAQPage, BreadcrumbList, HowTo, Article, LocalBusiness, Speakable. 4) Citation network: 8+ authoritative external mentions across G2, Clutch, Crunchbase, DesignRush, press. 5) Freshness: dated content with lastModified and a public change log.
04AISO vs SEO vs AEO vs GEO
Classic SEO targets ranked search results. AEO (Answer Engine Optimization) targets featured snippets and direct answers. GEO (Generative Engine Optimization) targets LLM-generated answers. AISO is the umbrella that includes all of the above plus AI agent retrieval. The most defensible strategy combines all four because the underlying signals overlap.
05Measuring AISO success
Track 1) AI citation share across ChatGPT, Perplexity, Gemini, Claude, and Google AIO, 2) branded recall in LLM answers, 3) structured data coverage and validation, 4) entity strength via Knowledge Panel presence, and 5) referral traffic from AI engines. Weekly tracking against a fixed list of 50 to 200 category queries reveals trend lines.
06Common AISO mistakes
Over-indexing on keyword density, ignoring Schema.org coverage, no Person schema for the founder, no llms.txt file, content written in marketing voice instead of answer-block voice, missing FAQ blocks, and no canonical entity definition on the About page are the most common failures.