GEO (Generative Engine Optimization)
Also known as: Generative Engine Optimization, AI search optimization, AI visibility optimization, AEO
Traditional SEO optimizes for a ranked list of blue links. GEO optimizes for a different win condition: inclusion inside AI-generated answers, where the engine synthesizes a response and your brand's data, insight, or expertise becomes part of the reply itself. The term was first formalized in a 2023 academic paper from Princeton, Georgia Tech, and IIT Delhi researchers, and entered mainstream marketing vocabulary by 2025.
The mechanics differ from SEO in important ways. AI search systems often break a user's question into several smaller sub-queries before searching, then retrieve relevant passages via retrieval-augmented generation (RAG) and synthesize a single answer. That means your content needs to be clearly structured, server-side rendered so AI crawlers can read it, and written to directly answer the specific sub-questions an AI might decompose from a broad user prompt.
For builders shipping AI products, GEO matters on two levels. First, as a growth channel: if ChatGPT or Perplexity starts recommending your tool in response to relevant queries, that referral traffic converts at unusually high rates. Second, as a product design consideration: making your docs, use cases, and feature pages easy for AI systems to read and cite is increasingly part of distribution strategy, not just marketing.