GEO vs AEO vs SEO

SEO aims at a position in a list of links. AEO — answer engine optimisation — aims at being returned as the direct answer to a question. GEO aims at being one of the sources an AI system draws on and names when it assembles an answer.

The work behind all three overlaps almost completely: be findable, answer real questions, cover your subject, be described consistently, be corroborated elsewhere. Google's own position is that optimising for generative AI search is optimising for the search experience, and is therefore still SEO.

What actually differs is what you count as success, and therefore what you measure. A rankings report answers the first. Nothing in it answers the third.

Source: Optimizing your website for generative AI features on Google Search, Google Search Central.

What each one is actually aiming at

SEO — search engine optimisation. The oldest of the three and the foundation of the other two. The aim is a position in a list of results, and the win condition is a click. Everything technical underneath it — crawlability, indexing, speed, structure — is a precondition for everything else on this page.

AEO — answer engine optimisation. Older than it sounds. It came from featured snippets and voice assistants, where the aim was to be the one answer returned rather than one link among ten. The work is mostly structural: state the answer plainly, early, in a form that can be lifted out of the page.

GEO — generative engine optimisation. The aim is to be among the sources an assembled answer is built from, and to be named in it. There is no list and no position ten. We have set out what the work involves in what is generative engine optimisation.

Where they overlap

Nearly everywhere, which is the part the acronyms obscure.

A page that answers a buyer's question completely and early serves all three. It ranks, because it is genuinely useful. It can be lifted as a direct answer, because the answer is at the top. And it can be drawn from when a system assembles a response, for the same reason.

One well-built page satisfies all three. Three separate strategies produce three thin ones.

The technical foundation is shared too. Nothing is surfaced from a page that cannot be crawled, indexed or processed, whichever endpoint you are aiming at.

Where they genuinely differ

In the measurement, and only really there.

SEO is measured by position and traffic, and both are reported by tools you already own. AEO is measured by whether you hold the answer box for a question, which is checkable by looking. Being named in an assembled answer is measured by asking the question and recording who appears — and no tool you currently own does that, which is why most companies have no idea where they stand.

That reading is AI Visibility, how often you appear at all across the questions your buyers ask, defined on Baseline. It is not a replacement for rank tracking. It is a different instrument pointed at a different thing.

Is AEO different from GEO, or the same thing renamed?

Different in aim, overlapping in practice, and the distinction is narrower than either camp suggests.

AEO asks whether your content is returned as the answer. GEO asks whether your company is one of the sources a longer answer is built from and credited to. The first is about a passage on your page. The second is about your company being a known, corroborated entity — which is why GEO work reaches outside your website and AEO work rarely does.

In a buying process for capital equipment, the second matters more. Nobody chooses a palletiser supplier from a snippet. They ask who to consider, read three names, and start there.

Which one should you buy?

None of them, as a product. Buy the measurement first.

An agency selling you GEO is selling a method, and a method is a poor thing to purchase before you know whether you have the problem it treats. The useful question is narrower: when your buyers ask an AI who supplies equipment like yours, does your name come back, how often, alongside whom, and described correctly?

Answer that and the choice of acronym takes care of itself. Most of what follows will look like good SEO, because it is.

Why there are three names at all

Because a discipline with a new name needs new suppliers, and a new name is easier to sell than a familiar one.

That is not a conspiracy, and it does not make the underlying shift unreal — buyers genuinely are being handed shortlists before they reach anyone's website. But it does mean you should treat an acronym as a description of an aim rather than as evidence that a separate skill set exists. Ask a firm what it would measure and how often. The answer tells you more than the label on the proposal.

What this article cannot tell you

It cannot give you settled definitions. All three terms are used differently by different firms, and only one of them is old enough to have a rough consensus behind it. Ours are descriptions, not standards.

It cannot tell you the balance will hold. The guidance underneath this page was published in May 2026 and updated in July, and AI systems are probabilistic and change continuously. What is true about the endpoint may shift; what is true about the foundation has not changed in twenty years.

And it cannot tell you which matters most for your category. That depends on how your buyers research, which is measurable rather than arguable.

What to do next

Stop choosing between acronyms and find out where you actually stand. If the concern is that your existing search investment has been wasted, that argument is set out in is SEO dead in 2026 — the short version is that it has not been.

If the question is whether AI systems name your company when your buyers ask who to consider, that is measurable in an afternoon by hand, or properly by the AI Visibility Audit — agreed questions, all six systems, your named competitors alongside you.