AEO, GEO and SEO: the difference that changes your roadmap

SEO optimizes a page so it ranks. AEO optimizes a passage so it gets extracted as the answer. GEO optimizes the sources a model reaches for when it composes one. Same website, same team, but the artifact you are working on is different in each case, and that is the only distinction that should change your roadmap.

What each one actually means

Search engine optimization targets a ranked list. The unit of work is a page, the measurement is position, and the mechanism is a crawler plus an index.

Answer engine optimization targets the direct answer: a featured snippet, an AI Overview, the two sentences an assistant returns before any links. The unit of work is a passage inside a page. You are not moving from position 6 to position 3. You are trying to be the block of text that gets quoted.

Generative engine optimization targets what the model draws on when it builds an answer. The unit of work is often not your site at all: it is the comparison roundup, the review listing, the forum thread, the directory that the model retrieves and cites. You influence it rather than control it.

The artifact is the whole difference

Read that table as one job with three outputs rather than three jobs. The page has to exist and be findable before a passage can be extracted from it, and the passage has to be clear before a third party quotes it. The dependency runs one way.

Where they overlap, which is most of the work

Crawlability, site speed, internal linking, structured data, clean URLs and genuinely useful writing serve all three. Fix only those and you capture most of the available benefit under any of the labels.

The honest split: most of the work is shared technical and content foundation. A smaller slice is AEO-specific, meaning you restructure existing pages so the answer sits in a liftable block, add comparison tables, and write definitions that stand alone. The last piece is GEO-specific and mostly off-site: getting listed where roundups and directories already rank, earning mentions on sources that models retrieve.

Most teams do not need three budgets. They need one budget, sequenced.

What the SERP data says about which label to chase

We ran live authority checks on US results in September 2026, and the vocabulary you pick changes the competitive bar more than the audience does.

For "generative engine optimization agency", page one ran domain authority 30 to 47. For "ai seo agency", page one ran 23 to 33. For "performance marketing agency for saas", page one included sites at DA 4, 12, 17, 20 and 24. For "ai marketing consultant", a site with domain authority 13 held fourth position.

Same broad service. Wildly different entry requirements. A newer site chasing the GEO term because it sounds current competes against established domains while the adjacent terms sit open. That is a positioning decision disguised as a keyword decision, and it is where generative engine optimization services should start rather than finish.

How to sequence it

Fix the foundation first, because everything else depends on it: rendering, robots.txt, schema, redirects, page structure. Then restructure your ten highest-intent pages so each opens with a 40 to 60 word answer under a question heading. Then, and only then, go after the third-party sources, because a model that follows a citation to a page which does not answer the question learns something unhelpful about you.

Do not split your team by acronym. Split the work by dependency order.

Take your five most commercially important pages and read the first paragraph of each out loud. If it takes more than three sentences to state what the page is about, that is your AEO work. A crawl from Growthym will tell you whether the foundation underneath can support the effort.