Generative Engine Optimization is how your business gets named inside the answers ChatGPT, Gemini and Google's AI write. Here is what it is, how it differs from SEO, and what actually gets you cited.
GEO, or Generative Engine Optimization, is the practice of getting your business cited inside the answers that AI engines like ChatGPT, Gemini and Google's AI Overviews write. Where SEO aims to rank your page in a list of links, GEO aims to get you named and quoted in the answer itself. They share the same foundations, but GEO adds the authority signals and answer shaped writing that models actually lift.
When someone asks ChatGPT, Gemini or Google's AI a question, they get a written answer, not a page of links. GEO, Generative Engine Optimization, is the work of making sure your business is one of the sources that answer draws on and names. It is the same instinct as SEO, moved to where the attention has gone: into the answer itself.
The shift matters because a growing share of buyers now read the AI answer and act on it without ever scrolling to the classic results. If the answer names a competitor and not you, ranking well underneath no longer saves you. Being in the answer is the new front page.
SEO and GEO are not rivals. They share the same foundations: a fast, clean site, content that answers real questions, and technical health a crawler can read. On top of that shared base, each does a different job. SEO earns you a place in the ranked list a person then clicks. GEO earns you a mention in the answer a model writes above that list.
Search did not shrink when AI arrived. It split. Most discovery still runs through classic ranking, so dropping SEO to chase AI would cost you the majority of your buyers. The right move is to do both, from one set of well made pages.
Answer engines favour sources that are easy to quote and easy to trust. In practice that means three things. First, content that answers the question directly and in plain language, in passages a model can lift whole. Second, structure a machine can read: clean headings, lists, and schema that spell out who you are and what you do. Third, authority, the mentions and citations across the web that tell a model you are a credible source rather than one voice among many.
None of this is a trick. It is the same clarity and credibility that has always won trust, expressed in a way both people and models can parse.
If you want to be found and quoted, a short list does most of the work. Write a clear, direct answer near the top of every important page. Add FAQ and structured data so engines understand your pages without guessing. Keep the site fast and clean, because the same health that ranks you is what lets a model read you. Earn honest mentions and citations elsewhere on the web. Then watch what the engines actually say about you and your rivals, and keep adjusting, because AI visibility is a position you hold, not a box you tick once.
No. Most discovery still runs through classic search, so ranking still drives the majority of traffic. AI search is growing quickly on top of that, not replacing it. You want both.
They overlap. GEO, Generative Engine Optimization, is about being cited inside AI generated answers. AEO, Answer Engine Optimization, is about being the direct answer to a question. In practice we treat them as one discipline with the same foundations.
Be the clear, trustworthy source on the questions your buyers ask: content that answers directly, structured data a model can read, and citations across the web that build your authority. Then track your mentions and keep improving.
Some of it moves quickly, like fixing structure and publishing direct answers. Authority builds over months, the same way trust always has. It compounds rather than spikes.
Our Search and AI Visibility work shows you where you stand in search and in AI answers, then gets you ranked and cited. Tell us the questions your buyers ask.