GEO vs AEO — the real difference, and what to do first
Both acronyms describe getting your business into AI answers, and people use them interchangeably. They are not the same job. One is about how a model describes you. The other is about whether a model cites you. Knowing which you are failing at decides what you should fix this month.
One sentence each
- GEO — Generative Engine Optimization. Shaping how a generative model represents your brand: the description it produces unprompted, the categories it files you under, the competitors it names alongside you.
- AEO — Answer Engine Optimization. Getting extracted and cited as a source for a specific question at the moment somebody asks it.
The technical difference: training data vs retrieval
A modern assistant answers you from two places. First, its weights — everything absorbed during training, which is where a brand-level impression lives. Second, retrieval — a live web search run at question time, whose results get summarized and cited.
GEO targets the first. It is slow, indirect work: enough consistent public material about your business in enough places that the model's internal representation of you is accurate. You cannot edit a model, and you cannot force a retraining cycle.
AEO targets the second. When the assistant runs a search and reads three or four pages before answering, your page either survives that pass or it does not. This is entirely within your control, and it changes within days of a deploy.
Side-by-side
| GEO | AEO | |
|---|---|---|
| Target | Brand representation in the model | Citation in one specific answer |
| Mechanism | Training data and broad public footprint | Live retrieval and extraction at query time |
| Time to move | Months to model cycles | Days to weeks |
| You measure it by | How accurately assistants describe you | Whether you are named and linked |
| Main levers | Press, reviews, communities, consistent naming | Clear on-page facts, structured data, crawlability |
How to tell which one is failing
Ask an assistant two questions about your business. First, by name: "What does [your business] do?" A wrong, vague, or hallucinated answer is a GEO problem — the model's picture of you is thin. Second, by need: "Who should I hire for [what you sell] in [your city]?" If the answer lists competitors and not you, that is an AEO problem — you were not retrieved or not extractable.
Most small businesses fail the second test while passing or half-passing the first, which is why citation work pays back faster.
Order of operations
- Make your claims unambiguous. Services, service area, who you serve, pricing shape, and proof — in plain sentences on the page, not in an image or a hero carousel.
- Add structured data. Organization or LocalBusiness, plus FAQPage where you genuinely answer questions. It gives the extractor something unambiguous to lift.
- Fix crawlability. If a fetch fails or the content is rendered only in the browser, you are invisible to the retrieval pass regardless of how good the copy is.
- Then build the footprint. Reviews, community threads, video, and press are where GEO improvements come from — and they also feed retrieval, so the work compounds.
The short version
AEO is a citation problem you can fix this quarter. GEO is a reputation problem you build toward. Start with the citation, because being named in the answer is what actually sends you customers.
Want to see where you stand right now? Run the free AI-search check — it scores your homepage and shows whether assistants can cite you.
Related: SEO vs AEO vs GEO · AEO vs SEO comparison guide