What GEO actually is
Generative Engine Optimization is the practice of making your content more likely to be cited, referenced, or recommended by AI-powered answer engines and large language models.
Traditional SEO optimizes for search engine crawlers and ranking algorithms. GEO optimizes for how AI models understand, evaluate, and retrieve information when generating responses to user queries.
SEO gets you on page one of Google. GEO gets you into the answer when someone asks ChatGPT a question. Some people call this Answer Engine Optimization (AEO) or LLM Optimization — the terminology is still settling, but the concept is the same.
Why it matters now
The shift isn’t coming. It’s already here. Hundreds of millions of people use AI assistants regularly. When someone asks an AI "what’s the best app for cosmetic procedure research" or "how much does a rhinoplasty cost," the AI pulls from training data and real-time web retrieval to construct an answer. The sources it cites get the traffic.
This is especially significant for categories where people do extensive research before deciding — healthcare, finance, education, travel, B2B software, cosmetic procedures. If your content is well-structured and authoritative, AI is more likely to surface it. If it’s thin or indistinguishable from competitors, it gets passed over.