Answer engine optimisation vs SEO: what actually changes?
SEO optimises a page to rank in a list. AEO optimises a passage to be extracted as an answer. They share most of the technical foundation, and diverge on the unit of selection and on what failure looks like.
What is genuinely the same
It is worth starting here, because the marketing around AEO tends to imply a clean break and there is not one.
Crawlability, indexation, site speed, information architecture and internal linking are the same work with the same tools. A page that cannot be crawled cannot be retrieved. A slow page loses on both. A site with no internal linking is hard for either system to understand.
Topical coverage is also the same instinct. Both reward a site that covers a subject properly rather than one that publishes a single page and hopes.
Our position
Roughly two thirds of AEO work is SEO work you should have been doing anyway. Anyone selling AEO as a wholly new discipline is either overcharging or has not looked closely.
What genuinely differs
The last row is the one that changes budgeting conversations. An AI Overview answers the question on the results page, so being cited in one produces brand exposure and considerably less traffic than the equivalent conventional ranking. Reporting the two as though they behave the same way misleads whoever reads the report.
| SEO | AEO | |
|---|---|---|
| Unit of selection | The page | The passage |
| What the user sees | A list they choose from | One answer they usually accept |
| Writing shape | Build to a conclusion | Answer first, qualify after |
| Context dependence | A page is read as a whole | A passage must stand entirely alone |
| Winning looks like | Position one | Being the source of the answer |
| Losing looks like | Not appearing | Appearing, described wrongly |
| Traffic relationship | Ranking drives clicks | Being cited often reduces clicks |
How to split the budget
- 1Keep the technical foundation as one line. It serves both, and splitting it invents an argument about work nobody disputes.
- 2Treat the content restructuring as an AEO line, because it is a genuine change in how you write rather than more of the same.
- 3Carve out the off-site citation-source programme separately. It has no SEO equivalent and it is where most AI citations actually come from.
- 4Carve out measurement separately too. AI visibility metrics do not exist in your existing search reporting and cannot be derived from it.
- 5Do not move budget out of SEO to fund this. Google's AI surfaces are grounded in Google Search, so weakening conventional performance weakens the AI surfaces above it.
Which to prioritise
If your organic search is weak, fix that first. Gemini grounds in Google Search, AI Overviews are generated from pages already ranking, and Copilot runs on the Bing index. A site that ranks nowhere has no foundation for any of it.
If your organic search is strong and you are still absent from AI answers, the problem is almost never your content. It is either a crawler directive blocking a retrieval bot, or an absence from the third-party sources the assistants are actually citing. Both are diagnosable in days.
Related questions
How the two disciplines run together
Related answers
What is answer engine optimisation (AEO)?
Answer engine optimisation (AEO) is structuring content so it becomes the source an answer engine uses.
Read the answerComparisonGEO vs AEO vs SEO: what each term actually means
SEO is getting found in a list.
Read the answerDecisionDoes GEO need its own budget, separate from SEO?
Partly.
Read the answer