What is generative engine optimization in simple terms?

Generative engine optimization, or GEO, is the practice of getting AI tools that write answers, like ChatGPT, Perplexity, Gemini, Claude and Google’s AI Overviews, to mention, cite and describe your brand when they respond to a question. In plain terms: classic SEO tries to rank your page in Google’s list of blue links, while GEO tries to get your brand named inside the AI’s answer itself. The two overlap, because an AI usually pulls from pages that are easy to find, easy to read and widely trusted. So GEO is less a new trick than a shift in the target: instead of optimizing only for a click, you optimize to be the source the model quotes. You do that by being reachable by AI crawlers, answering questions clearly and directly, describing your brand consistently everywhere, and earning trustworthy mentions across the wider web.

GEO vs SEO in one line

The simplest way to hold the difference: SEO is about ranking a page; GEO is about being the answer. With SEO you want to appear in the list of links a search engine returns, and you win when someone clicks. With GEO you want the AI to name you, quote you or link you inside the answer it writes, and you win even if no one clicks a traditional result. They are not rivals. A page a search engine cannot crawl, understand or trust will not get cited by an AI either, so good SEO is the foundation GEO builds on. GEO just adds a second goal on top: be the source the model reaches for.

The four things GEO actually asks of you

In practice GEO comes down to four plain habits. First, be reachable: make sure AI crawlers can read your pages and that your content lives in the HTML, not only after JavaScript runs. Second, answer clearly: lead each section with a direct, self-contained answer the model can lift without stitching it together. Third, be a recognizable entity: describe who you are and what you do the same way everywhere, so the model forms one clear picture of your brand. Fourth, earn trust off-site: useful mentions, comparison lists, community discussion and original data others quote. The first two you fully control; the last two you earn over time, and they are what most separates brands that get cited from brands that do not.

Related questions

Is GEO the same as AEO?

Mostly, yes, the terms are often used interchangeably. The useful distinction: AEO (answer engine optimization) is about being the specific cited answer, while GEO is the broader practice of shaping how generative models describe and summarize your brand, cited or not. In day-to-day work you optimize for both with the same core habits: clear content, a strong brand entity, and off-site trust.

How do I know if GEO is working?

Ask the AI engines your real buyer questions on a schedule and record whether they name or cite you, and which competitors they pick instead, then work the gaps. Doing this by hand does not scale across engines, so tools like Cituna automate it across six engines (though not Microsoft Copilot) and pair it with Google Search Console to tie AI mentions back to real clicks.