For twenty years, getting found meant ranking on Google. A customer typed a query, scanned ten blue links, and clicked. Search Engine Optimization. SEO. Was the craft of earning those clicks.
That world is quietly ending. People increasingly ask instead of search: they pose a full question to ChatGPT, Gemini, Claude, or Google's AI Overviews and read a single synthesized answer. There are no ten links to scan. Often there's one paragraph, naming a few brands. If you're not in that paragraph, you're invisible.
GEO and AEO are the disciplines of staying visible in that new world.
The two terms, in plain English
- AEO. Answer Engine Optimization. Being the answer to a question. When someone asks "what's the best fragrance-free moisturizer for eczema?", AEO is the work that makes an engine pull your product, your page, or your brand into its reply.
- GEO. Generative Engine Optimization. The broader practice of being mentioned, cited, and recommended across generative AI engines, not just for one question, but consistently, across the thousands of ways customers phrase their needs.
The distinction is academic in day-to-day work. Both come down to the same goal: when an AI talks about your category, it talks about you. Accurately and favorably.
Why this matters now, not later
Three things changed at once:
- AI answers became the default surface. ChatGPT, Gemini, and Claude have hundreds of millions of users between them, and Google now puts AI Overviews and AI Mode in front of ordinary searches. The "answer" is increasingly the destination, not a stepping stone to your site.
- Discovery moved upstream of your website. A shopper can research, compare, and form a shortlist entirely inside an AI conversation before ever visiting a brand's site. By the time they land, the decision is half-made, and you may not have been in the running.
- The engines disagree. ChatGPT, Gemini, and Claude are trained and grounded differently, so they describe and recommend brands differently. A brand can be a hero in one and absent in another. You can't manage what you can't see across all of them.
If customers are forming opinions about your brand inside AI conversations you never see, that's not a content problem. It's a visibility blind spot.
What "being visible" actually means
AI visibility isn't a single number. It breaks into a few concrete questions:
- Presence: does the engine mention you at all for the questions that matter?
- Sentiment & framing: how does it describe you? As the premium pick, the budget option, the dated incumbent?
- Citations: does it point to your pages as the source, or to a retailer, a review site, or a competitor?
- Share of voice: when several brands are named, how often is it you versus your rivals?
- Consistency: ask the same question five times and you may get five slightly different answers. Visibility you can't reproduce isn't visibility you can rely on.
Why it's hard to do by hand
You could open five engines and ask a few questions. Many teams start there. But the answers shift by phrasing, by day, and by random chance; they differ across engines; and "the questions that matter" number in the hundreds once you account for every product, use case, and comparison. Eyeballing it doesn't scale, and it doesn't give you a trend you can act on.
The good news: this is influenceable
AI engines aren't a black box you're at the mercy of. They read the open web, they favor clear and well-structured information, and they reward brands that make their facts easy to find and hard to misread. The rest of this series covers exactly how that works. How engines decide who to recommend, and the concrete moves that make your brand the one they pick.
That's the whole premise of Buffy Intel: see how every major AI engine describes your brand, every day, and get a prioritized plan to improve it.