- Different vintages, overlapping work. AEO came from the featured-snippet era; GEO was coined in a 2023 research paper.
- The real difference is the target. AEO wants your answer extracted. GEO wants your business named inside an answer written from several sources.
- Neither covers the whole job. Both are content-side terms. Whether you are eligible, crawlable and verifiable sits underneath both and decides more.
- The name does not matter. The method does. Ask what someone measures, not what they call it.
One paragraph, if that is all you need
AEO is answer engine optimization: structuring your content so a system that returns a direct answer can lift it from you and attribute it. GEO is generative engine optimization: making your business and pages likely to be retrieved, cited and named inside an answer a model composes from multiple sources. AEO is about being the answer; GEO is about being in the answer.
In day-to-day practice the work overlaps heavily, both reward clear, self-contained, well-structured, corroborated content, and most providers use the terms interchangeably. If you are choosing between two proposals, the acronym on the cover tells you nothing useful. What separates them is scope and measurement.
| AEO | GEO | |
|---|---|---|
| Era | Featured snippets and voice assistants, roughly 2015 onwards | Generative answers, coined November 2023 |
| Origin of the term | Industry usage; no single author | An academic paper, GEO: Generative Engine Optimization, arXiv, 16 Nov 2023 |
| What it optimises for | One passage being extracted and attributed | Being retrieved, cited and named within a synthesised answer |
| Typical surface | Snippet box, voice answer, AI Overview extract | ChatGPT, Perplexity, Gemini, AI Overviews |
| Core tactic | Question-shaped heading, immediate self-contained answer | Quotable specifics, citations, statistics, coverage of the question space |
| What it leaves out | Whether the engine can identify or verify you at all | The same, both are content-side disciplines |
| How it is measured | Is your answer the one shown, for the questions you wrote it for | How often you are named across a sampled question set |
Extraction versus synthesis
The difference that survives scrutiny is mechanical. A snippet-style system finds the single best passage and shows it, one winner, clearly attributed, and your job is to be the passage. A generative system reads several sources and writes something new, mentioning a few businesses by name, several partial winners, attribution optional, and your job is to be one of the names it feels safe using.
That changes the emphasis in one specific way. Extraction rewards the perfect sentence on the right page. Synthesis rewards agreement across many sources about who you are. You can win a snippet with one excellent page; you rarely get named by an assistant on the strength of one page, because the assistant is checking whether anything else in the world backs you up.
Which is why we treat both as components of something larger rather than as competing services. The identity and corroboration layers sit underneath both, and neither acronym has a word for them — that is the gap the category page exists to close.
And does the name matter at all
If you are hiring: neither, as a filter. Ask what they measure, how many runs, on which platforms, and what they refuse to promise. A provider who says “GEO” and cannot describe their measurement is worse than one who says “AEO” and can.
If you are searching: use whichever you typed. They will lead you to substantially the same material, and anyone insisting theirs is the only correct term is selling a distinction rather than a service.
If you are writing about it: GEO has the stronger claim to precision because it has a definition and a paper behind it. AEO has the stronger claim to being understood, because it has been in use longer.
What we call it: AI visibility, because it includes being eligible and identifiable, which the other two names quietly assume. That is a preference, not a correction. AI search optimization is the plainer synonym if the acronyms grate.
This page compares two terms. It does not sell anything. Each has its own full treatment: AEO explained and GEO explained. The service that does the work is on the AI Visibility service page.
Want one-paragraph definitions for both? The Visibility Glossary has them.
Fair questions about the two terms
Is one of these going to win and the other disappear?
Probably GEO wins the label contest, on the strength of having an origin and a definition. But the industry has never retired a term cleanly, people still say “SEM”, so expect both to persist, along with LLM SEO and AI SEO, for as long as they help someone sell something.
What is AI search optimization called, officially?
Nothing. There is no standards body and no official name. GEO has the most formal provenance, AEO the longest usage, AI search optimization the plainest meaning, and LLM SEO the loosest. We use “AI visibility” because it covers the identity and eligibility layers the others leave out. All of them are pointing at roughly the same work.
Should I pay for AEO and GEO separately?
No. They are two names for overlapping work on the same pages, and buying them as separate line items means paying twice for one job, and usually getting two providers with opinions about the same paragraph. One scope, one measurement, one accountable party.
Does the difference change anything my writer does?
little. The habits are the same: put the answer first, make sentences self-contained, be specific, cite real sources, cover the whole question rather than the keyword. If a provider claims their GEO writing is fundamentally different from their AEO writing, ask to see both.
Which should I measure against?
Neither, as such, measure presence. Whatever the label, the question worth answering monthly is how often an assistant names you across a fixed set of real buying questions. That is one number, it is comparable over time, and it does not care what anyone calls the discipline.
Skip the acronym argument, check the number
The free Visibility Check runs 12 real buying questions for your trade and market across three assistants, your X/12, the screenshots, and the first fix worth making. No sales call.
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