TL;DR: AEO and GEO are the same discipline under two names. SEO is a genuinely different one. About half of classic SEO transfers to AI answers; the other half is wasted effort, and the difference is whether a web search fires.
The three terms
SEO, search engine optimization. Rank a page in a list of links.
AEO, answer engine optimization. Get named inside a generated answer.
GEO, generative engine optimization. Get named inside a generated answer.
AEO and GEO are the same thing. GEO came out of academic work, AEO out of the practitioner side. Anyone drawing a sharp line between them is selling something.
What transfers from SEO
- Technical crawlability. If a bot cannot read the page, nothing else matters.
- Genuine subject expertise, expressed clearly.
- Clean information architecture and internal linking.
- Ranking itself, Google AI Overviews draw heavily on top organic results, so position still buys you presence in at least one major answer surface.
What does not transfer
- Keyword volume as a target. A high-volume question the model answers from memory is worth nothing to you.
- Backlink accumulation as the primary off-site lever. Being mentioned matters; the link itself matters much less.
- Length as a proxy for quality. Extractability beats comprehensiveness.
- Winner-take-all thinking. Several brands share every answer.
| SEO | AEO / GEO | |
|---|---|---|
| Target | A URL's position | Your brand's presence in an answer |
| Primary off-site lever | Backlinks | Mentions on retrieved sources, reviews |
| Content optimised for | Depth and coverage | Extraction and directness |
| Number of winners | Roughly one | Three to five |
| Where volume data comes from | Real, measured | Estimated, nobody has ground truth |
| Main failure mode | Ranking for nothing that converts | Publishing for questions nothing retrieves |
The one distinction that actually matters
It is not AEO versus GEO. It is retrieval versus knowledge.
When a model runs a search before answering, content and placement work. When it answers from training data, they do not, only long-run presence does. Every practical decision follows from which mode a given question triggers, and it is measurable per question.
Nobody's acronym captures that, which is why the acronym debate is a waste of time.
First-person view
I would spend zero minutes on terminology and all of them on one question: for the ten questions that would actually produce a sale, does the model search? Everything else is downstream of that answer.
Key takeaways
| Term | Verdict |
|---|---|
| SEO | Still necessary, no longer sufficient |
| AEO | Real discipline, useful term |
| GEO | Same discipline, different name |
| Retrieval vs knowledge | The distinction that changes what you do |
FAQ
Which term should I use internally?
Whichever your team already says. It has no bearing on the work.
Do I need separate content for each?
No. One well-structured, answer-first, genuinely expert page serves both.
Is there an AEO ranking factor list?
No, and treat any published one with suspicion. What exists is a measurable feedback loop: measure, change something, measure again.