AEO vs GEO: which term engines and buyers use

Answer engine optimization (AEO) and generative engine optimization (GEO) are two names for one practice: getting a brand mentioned, and its pages cited, inside the answers AI engines generate. The decision a team faces is which name to put on the brief, the budget line, and the tool shortlist.

Most published answers settle that by opinion. Two measurements settle it better: what buyers type into Google, and what the AI engines themselves call the work.

Key takeaways

• AEO and GEO describe the same work: getting a brand mentioned and cited inside AI-generated answers. Neither term marks out a separate set of engines.
• Google searches for "generative engine optimization" outnumber "answer engine optimization" worldwide by 2.7 times, and in all four markets Zumi checked: 1.8 times in the US and India, 2.4 times in Australia, and 2.8 times in the UK.
• Interest in AEO is rising worldwide and in every checked market except the UK: over three months, searches for "answer engine optimization" rose 23% globally, 21% in the US and Australia, and 60% in India, while "generative engine optimization" fell 18% globally and held flat or fell in each market.
• In a Zumi study of Gemini, Google AI Overviews, and Google AI Mode, each engine used both terms, and AI Overviews dropped "Answer Engine Optimization" entirely inside three weeks.
• The label matters less than the measurement. A program under either name should report mention rate, share of voice, average position, and citation share.

Are AEO and GEO the same thing?

In practice, yes. Both aim to get a brand mentioned, and its pages cited, when ChatGPT, Gemini, Perplexity, Google AI Overviews, or Google AI Mode answers a buyer's question. Large language model optimization (LLMO) and AI SEO are further names for the same work.

The difference is where each term came from. AEO grew out of featured snippets and voice assistants. GEO comes from a 2023 research paper by Aggarwal and colleagues (arXiv, 2023).

A common claim in the comparisons that rank for this question is that AEO targets one kind of engine and GEO another. Zumi's own answer data does not support that split.

Which term do the AI engines use?

Zumi asked Gemini, Google AI Overviews, and Google AI Mode the same question every day from July 20 to August 7, 2026: what to look for in an AI search intelligence platform for marketing and demand generation teams. The question was asked in the United States and India, and 77 answers were collected. The study is published in full.

Every engine used both terms. Gemini leaned on GEO and AI Mode leaned on AEO. The counts also force some overlap: at least 8 of Gemini's 26 answers and at least 8 of AI Mode's 26 used both terms in the same answer.

The preference did not hold still either.

This is one question in one category over 19 days, so it does not describe every topic or every engine. It does show that the engines treat the two terms as interchangeable, and that an engine's preferred term can change within weeks. A strategy built on matching an engine's vocabulary is aiming at something that moves.

Which term do buyers search for?

Google Ads Keyword Planner reports average monthly searches. Zumi pulled these figures on October 8, 2026, for English-language searches, worldwide and for four markets: the United States, India, the United Kingdom, and Australia.

GEO leads worldwide at 2.7 times the AEO searches, and in every market: 1.8 times in the United States and India, 2.4 times in Australia, and 2.8 times in the United Kingdom.

The trend runs the other way worldwide and in three of the four markets. Over the three months to the pull:

Searches for "aeo vs geo" itself rose 23% worldwide and 26% in the US. Keyword Planner reports volumes in rounded bands, so a three-month change can reflect a term crossing from one band to the next; the direction matters more than the exact percentage. The AEO side also carries marketing-framed searches such as "aeo marketing" (880 a month in the US) and "aeo seo" (720).

The practical reading: GEO is the larger term today, and AEO is the one gaining ground worldwide and in every checked market except the UK, where both are falling.

Which term should a team use?

The answer depends on who the term is for.

• A team writing for buyers in the UK or Australia gets more reach from GEO, which draws 2.4 to 2.8 times the AEO searches in those markets.
• A team writing for a global audience, or for buyers in the US or India, gets more from naming both terms in the opening paragraph. GEO is larger, at 2.7 times the AEO searches worldwide, and AEO is rising faster: up 23% globally, 21% in the US, and 60% in India over three months.
• A team matching one engine's vocabulary is aiming at something that moves. AI Overviews dropped one term inside three weeks, and naming both covers every engine.
• A team setting a budget or building a tool shortlist should ignore the label. Vendors sell the same monitoring under AEO, GEO, and AI visibility names, and the guide to evaluating AI visibility tools covers what separates them.

What matters more than the label?

Whatever the program is called, it should answer four questions for each engine tracked: how often the brand is mentioned (mention rate), how much of the conversation it holds against competitors (share of voice), where it appears in the answer (average position), and how often its own pages are cited as sources (citation share). Those four signals are how Zumi reports AI Visibility, and they do not change when the acronym does. The platform overview shows how they are tracked.

This comparison does not settle which tactics work best under either name. For that, the GEO explainer covers the practice, and the GEO vs SEO comparison covers how it relates to search work a team already runs.

Zumi is an AI Search Intelligence Platform that reports mention rate, share of voice, average position, and citation share for each tracked engine, whichever term a team uses for the work. Book a demo to see the breakdown for a real category.