What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of getting your brand named, described accurately, and cited as a source inside the answers that generative AI assistants produce — ChatGPT, Claude, Gemini, Perplexity, and Google's AI Overviews. Where SEO aims to rank your page in a list of links, GEO aims to get you mentioned in the synthesized answer itself. It's sometimes also called AEO (Answer Engine Optimization); the two terms describe the same goal.

Why it emerged as a distinct discipline

For twenty years, "being found" meant ranking on a results page a human then scanned. Generative assistants broke that model: they read the sources for the user and hand back a short, opinionated answer that names a handful of brands. The click-through page many people used to see is gone. So the optimization target moved — from "rank in the list" to "be one of the few names the model chooses to say."

What GEO work actually involves

• Clear entity description — making it unmistakable what you are, who you're for, and what job you do, in plain language the model can quote.
• Question-shaped content — pages that directly answer the buyer questions people put to assistants.
• Crawlability and machine-readability — server-rendered content, clean structure, and often an llms.txt file so AI crawlers can read you.
• Measurement — probing the engines with real questions to see whether any of it worked.

That last point is the one most people skip. GEO without measurement is guessing. The only way to know if your GEO efforts landed is to ask the engines and record whether they now name you.