Answer Engine Optimization (AEO)
AEO specifically targets AI answer engines — systems that directly answer user questions rather than returning a list of links. ChatGPT, Perplexity AI, Google AI Overviews, and Microsoft Copilot are all answer engines. AEO optimizes your brand to be cited in those direct answers.
Key AEO signals: structured data (JSON-LD schema), direct question-answering content format, entity establishment in knowledge graphs, and cross-platform citation authority.
Generative Engine Optimization (GEO)
GEO was coined in a 2024 research paper from Princeton University and Georgia Tech. It focuses specifically on how AI systems select content when generating research responses. The research found that adding statistics, expert citations, and fluent structured language increases content inclusion in AI responses by up to 40%.
GEO targets the content layer — how you write and structure content so AI models include it when synthesizing answers about your topic area.
AI SEO (The Umbrella Term)
AI SEO is the overarching discipline that encompasses AEO, GEO, and all optimization work that makes your brand visible inside AI-generated content. It includes technical foundations (schema, indexing, llms.txt), content strategy (GEO techniques), and authority building (citations, entity recognition).
Which One Do You Need?
For most B2B and SaaS brands: you need all three working together. Start with the AI SEO audit to identify which signals are missing for your specific situation, then build systematically from technical foundation to content to authority.
