Generative engine optimization (GEO) is the practice of improving how often, and how prominently, your content is cited inside the answers generative AI systems produce. Where search engine optimization aims to rank a page in a list of links, GEO aims to get a source quoted directly in a synthesized answer from ChatGPT, Claude, Gemini, or Perplexity. The short version: SEO gets you clicked, GEO gets you quoted.
It is now a distinct discipline because a growing share of information-seeking happens inside an AI chat that never shows a ranked list at all. If the model does not surface your content in its answer, the click never had a chance to happen. Research on generative engines has found that a few tactics move citation rates the most — adding relevant statistics, citing credible sources, and including direct quotations — all of which make a passage easier for a model to lift and attribute.
In practice GEO and SEO overlap more than they compete. Both reward clear structure, answer-first writing, accurate information, and crawlable, server-rendered pages. GEO adds a few emphases: lead each section with a direct answer, support claims with cited evidence, keep content fresh, and make sure AI crawlers are actually allowed to read the page. The measurement differs too — instead of rankings and clicks, GEO tracks mention rate, citation rate, and where in the answer a source appears.