What is Generative Engine Optimization (GEO)?

For two decades, search meant a page of ten blue links and the SEO game was to rank as high as possible on it. Generative engines changed the surface. When someone asks ChatGPT or Perplexity a question, they get a synthesized answer with a handful of cited sources — and most users never click through to a results page at all.

That shift creates a new competition: not for position, but for citation. If the engine doesn't name you, you're invisible in the conversation, no matter how strong your product is. GEO is the discipline of earning that citation.

Answer engines retrieve candidate passages, then synthesize an answer and attribute it to the sources they leaned on. They favor content that is unambiguous, well-structured, and backed by evidence they can attribute confidently.

GEO doesn't discard SEO — it builds on it. The authority signals that help you rank (quality backlinks, topical depth, technical health) are the same signals that make an engine trust you enough to cite you. The difference is the optimization target: SEO optimizes a page to rank, GEO optimizes a passage to be quoted.

In practice you run both at once. A page engineered for GEO — answer-first, structured, evidence-backed — also tends to rank well and win featured snippets, because those systems reward the same clarity.

You don't need a new tech stack to begin. Start with the content and structure you already control.