GEO vs AEO vs SEO
Three acronyms, heavily overlapping work, and a great deal of confusion sold at a premium. Here is what each actually targets and where the work genuinely differs.
SEO competes for a position in a list. AEO competes to be the extracted answer. GEO competes to be a cited source when a system writes its own answer. They share a technical foundation and diverge mainly in what shape the content needs to take.
The short version
| Discipline | Surface it targets | What wins |
|---|---|---|
| SEO Search engine optimization | The organic list of links | Relevance, authority, technical health and depth — enough of each to outrank the alternatives for a query |
| AEO Answer engine optimization | Featured snippets, People Also Ask, voice results | Extractability — one clean passage that answers the question completely, in a predictable place |
| GEO Generative engine optimization | ChatGPT, Perplexity, Gemini, AI Overviews | Being selected as one of a handful of sources when a system synthesises an answer |
Where the work is identical
Most of it, which is the part that rarely gets said plainly by anyone selling these as separate services.
- Crawlability. A page a machine cannot fetch and read is unavailable to all three. This single issue accounts for more invisibility on manufacturer sites than every content problem combined.
- Structured data. Schema markup helps a search engine understand a page, helps an answer engine identify the answer, and helps a generative system resolve you to a real entity.
- Factual accuracy and specificity. Rewarded everywhere, and unverifiable claims are increasingly penalised everywhere.
- Site performance. A slow, unstable page is a worse candidate on every surface.
If your specifications live in PDFs behind a crawl misconfiguration, you do not have an SEO problem, an AEO problem and a GEO problem. You have one problem, and it is damaging all three simultaneously.
Where the work genuinely differs
SEO wants depth
Comprehensive coverage of a topic, internal linking that establishes the relationships between pages, and enough external corroboration to be treated as an authority. Length is not the point, but completeness is.
AEO wants a clean lift
A question-shaped heading followed immediately by a forty-to-sixty word answer that stands on its own out of context. The system is looking for a passage it can quote without editing.
GEO wants citability
Specific, verifiable, attributable claims that a system is willing to stake an answer on. Comparison tables and specification data outperform prose by a wide margin.
Some agencies now sell GEO as an entirely new discipline at a premium, on the implication that your existing work is obsolete. It is not. The honest position is that the foundations are shared, the content emphasis has shifted, and the measurement is genuinely new — because there is no ranking to check, so the measurement has to be built deliberately.
What actually changed
The substantive change is not the techniques. It is that a growing share of buying research now concludes without a results page ever being seen. When a system answers directly and names three companies, the competition for attention has already been resolved before any ranking mattered.
That is why measurement had to be reinvented. There is no position to track. The only honest approach is to fix a set of real buyer questions, run them on a schedule against the same engines and model versions, and report what changed — including when nothing did.
If you want the detail on either discipline: what generative engine optimization involves, or what makes content answer-engine friendly.
Common questions
Do I need all three, or can I pick one?
The technical foundation is shared, so in practice you are never buying three separate things. A site that cannot be crawled cannot be ranked, quoted or cited. Where they genuinely diverge is content shape, and that is a matter of emphasis rather than three parallel programmes.
Which one matters most for a manufacturer?
For specification-driven B2B, the generative surface tends to matter disproportionately, because buyers ask comparative questions rather than navigational ones. But a manufacturer with specifications locked in PDFs has a shared problem that damages all three at once, and that is where the work usually starts.
Does optimising for AI hurt my traditional rankings?
No. Nearly everything that makes content citable by an AI system — clear structure, factual precision, direct answers, working structured data — is also what Google has rewarded for years. The techniques converge far more than they conflict.
Is SEO obsolete?
No. Organic results still carry a large share of commercial traffic, and generative systems draw heavily on pages that rank well. What has changed is that ranking is no longer sufficient on its own, because a growing share of questions get answered before anyone reaches a results page.
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