What each term actually means
AEO, answer engine optimisation, is about being the business an engine names when somebody asks a direct question. A person types or speaks a question, the engine returns an answer naming a handful of businesses, and either you are among them or you are not.
GEO, generative engine optimisation, is about how your business is represented when a model generates prose about your category. Nobody has to ask about you specifically. The model writes about the space you operate in, and the version of you that appears in that text is either accurate and useful or it is not.
If those sound like the same thing described twice, that is a reasonable reaction, and it is why the terms get muddled. They separate properly only when you look at how each one goes wrong.
The difference that actually matters
| AEO | GEO | |
|---|---|---|
| The question | Are you named when someone asks? | Is the description of you correct when a model writes about your category? |
| How it fails | Absence. You are simply not there | Misrepresentation. You are there, described wrongly or out of date |
| What you fix | Findability, extractable structure, being citable at all | Entity accuracy and the corroborating sources the model reads |
| How fast it moves | Faster. It responds to work on your own site | Slower. It depends on sources you do not control |
| What a win looks like | Your name appears in answers to buyer questions | The sentence about you is accurate and current |
| How you measure it | Named-in-answer rate across a defined prompt set | Accuracy of the description returned, checked on a schedule |
How much of the work is shared
Most of it, and any agency selling these as two separate retainers is charging twice for the same effort. The shared foundation is the same list either way.
- Crawler access. An engine cannot cite a page it cannot reach. Unglamorous, and where a surprising number of problems actually live.
- A consistent entity. Same business name, same services, same locations, everywhere the web mentions you. Inconsistency is what produces a confidently wrong sentence about your company.
- Extractable structure. Content written so a clean passage can be lifted out and used as an answer, rather than buried in prose that has to be summarised.
- Corroboration. Other credible sources saying the same things about you. Models weigh agreement across sources heavily.
What genuinely differs is the last mile: what you monitor, and what counts as a win. That is a real difference. It is not worth two invoices.
Which problem do you have?
You can diagnose this in about ten minutes without buying anything. Take the five questions your buyers genuinely ask, put them to ChatGPT, Google AI Mode, Perplexity and Copilot, and read what comes back.
- Your name never appears. That is the AEO problem, and it is the more common one. The fix starts with being reachable and citable at all.
- Your name appears, described wrongly. Old services, wrong location, confused with a similarly named business. That is the GEO problem, and the fix is entity work plus correcting what the corroborating sources say.
- Your name appears and reads well. Then your constraint is somewhere else entirely and neither will help. Check whether enquiries are being captured once they arrive.
Worth knowing before you interpret the results: the engines have no concept of AEO or GEO. These are industry words for things practitioners noticed, not levers inside the model. Everything you can influence sits in your own content and its corroboration.
Where this sits against SEO
Underneath both. Neither AEO nor GEO replaces search optimisation, because both depend on the foundations SEO builds: a crawlable site, clear structure, genuine authority. What changed is the target, not the groundwork.
For the longer version of that argument see GEO versus SEO, and for the older pairing SEO versus AEO. If you want the definitions on their own they are at what is AEO and what is GEO. The sourced Australian data behind all of it is on the AI search statistics page.