The short answer
SEO optimises for a position in a list of links. AEO optimises for being named and cited inside a written answer. They run on the same infrastructure, because answer engines mostly retrieve from the web that SEO built, but they are scored differently and they fail differently.
The practical consequence: do not rebuild your SEO programme, instrument it differently. Most of the technical and content work carries over. The measurement layer does not.
The four differences that change how you work
- The unit of success. A results page has ten slots. An answer has room for two or three brands. Ranking eleventh in SEO costs you some traffic; being the fourth brand in an answer usually means being invisible.
- The query shape. Search boxes get keywords, AI gets sentences. The phrasings you need to cover are longer, messier and more numerous, and keyword volume data does not map onto them cleanly.
- The retrieval unit. Google indexes pages; models lift passages. A page that wins as one long argument often loses as a source, because no single paragraph inside it stands alone.
- The feedback loop. Rank is stable and observable. Answers are non-deterministic, personalised and vary by engine, so you need repeated sampling where SEO needed a single lookup.
What carries over from SEO
More than most AEO marketing admits. Answer engines retrieve from the open web, so the work that made your pages findable and trustworthy still does most of the heavy lifting.
- Crawlability, site speed and server-rendered HTML. If anything, these matter more, because several AI crawlers do not execute JavaScript.
- Structured data. Organization, Product, FAQPage and DefinedTerm markup give models unambiguous facts instead of prose they have to infer from.
- Authority and third-party mentions. Models corroborate across sources; a claim only your own site makes is a weak claim.
- Topical depth. Covering a subject thoroughly still decides whether you are retrieved for its long tail.
What stops working
- Ranking reports as the scoreboard. Pages can hold position one and never be cited, and pages at position eight can be cited daily.
- Traffic as a proxy for visibility. AI answers increasingly end without a click, so influence happens before the click and often instead of it.
- Keyword-density thinking. Models are not matching strings, they are deciding whether a passage answers a question well enough to lift.
- Burying the answer. The SEO habit of a long preamble before the payoff is actively harmful when the retrieval unit is a paragraph.
How to run both without doubling the team
Treat AEO as a second lens on the same content programme, not a second programme. Three changes are usually enough to start.
- Add a prompt set alongside your keyword set, and report share of voice in AI next to organic rank.
- Restructure new content so every section opens with a self-contained answer, then expands. Costs nothing, helps both channels.
- Audit crawler access once. Many sites are still blocking GPTBot or Google-Extended from a decision made years ago.
Common questions
No. Answer engines retrieve from the open web that SEO builds and maintains, so crawlability, authority and topical depth still decide what gets retrieved. What changes is the scoreboard: rank and traffic no longer capture visibility that happens inside an answer.
In practice they are used interchangeably for the same discipline. AEO emphasises the answer the user reads; GEO emphasises the generative model producing it. Choose one term internally and stay consistent so reporting does not fragment.
Usually not. AEO works best as a second lens on an existing content and technical SEO programme: add a prompt set alongside the keyword set, restructure content so each section opens with a self-contained answer, and audit AI crawler access.