AEO vs GEO: what is the difference?
AEO and GEO describe nearly the same work under two different labels: getting an AI system to use your content when it answers. AEO, Answer Engine Optimization, is the older and broader term; GEO, Generative Engine Optimization, is the newer one and points specifically at generative systems. In practice the distinction between them matters far less than whether anyone is measuring the result.
The vocabulary around answer engines is crowded, and the labels are used interchangeably by people who should know better. Rather than argue definitions, it is more useful to look at what the terms are used for and at what the engines actually do.
| AEO | GEO | |
|---|---|---|
| Stands for | Answer Engine Optimization | Generative Engine Optimization |
| Covers | Any system that returns an answer, including featured snippets and voice | Systems that generate the answer text, such as chat assistants |
| Typical usage | Broader, older, common in agency service pages | Narrower, newer, common in academic and tooling contexts |
| Unit optimized | The passage and the entity | The passage and the entity |
| Measured by | Citations and entity resolution | Citations and entity resolution |
The bottom two rows are the point. Once you get past the definitions, the work and the measurement are the same, which is why practitioners move between the two words without changing anything they do.
What the engines show instead
A more useful distinction than AEO against GEO is the one between engines, because they do not behave alike. In the runs recorded in the citation log, some engines attribute nearly every claim to a source; others answer the same question from their own knowledge and cite nothing at all. Those are different systems to optimize for, and no choice of acronym changes that.
Locale separates them further. The same query, on the same day, logged out and without personalization, returns different names in different countries: the Google AI Overview in Brazil has returned three claimants for the King of AEO title where the United States returned one. Both screenshots are published on the main claim page. Any framework that treats "the answer" as a single global fact is describing something that does not exist.
That variation is also why a single screenshot proves very little on its own. An answer captured once shows what one session returned; only a series, run on a schedule and recorded including the runs that returned nothing, shows whether an engine treats you as a source consistently or did so once.
Why the term keeps changing
A field this young renames itself often, and each rename is an opportunity to sell the same service as something new. AEO, GEO, AIO, LLMO and DEO have all been proposed, and at least one of them was launched by press release during the 2026 contest over the King of AEO title. The dated timeline of that contest shows the pattern clearly: the terms arrived faster than any evidence that the underlying work differed.
Which word should you use
Use whichever your audience uses, and define it once on your own site so a machine can resolve it. Then keep it: one term, used consistently in your headings, your copy and your structured data, is worth more to an entity resolver than a page that hedges across four acronyms. The practical risk is not picking the wrong label; it is picking a label and treating the choice as if it were a strategy.
What actually separates practitioners in this field is narrower and duller than the vocabulary: whether they run fixed queries on a schedule, whether they record the runs that returned nothing, and whether they publish the unfavourable ones. The method for that is set out in how to measure AEO, and the reason the title is disputed at all is that most claims to it were announced rather than measured.