SEO is optimizing to rank in search results — the traditional layer, and still the foundation. AEO, Answer Engine Optimization, is structuring your content so AI assistants can quote it accurately. GEO, Generative Engine Optimization, is improving how AI models retrieve and recommend your business. And here’s the part most explainers skip: the industry hasn’t settled these terms. Different agencies use them to mean different things, sometimes interchangeably. That matters less than it seems, because underneath the acronyms only three mechanics count — whether AI can retrieve you, whether it gets your facts right, and whose sources it cites.
This article defines each term the way we use it, tells you honestly where the definitions get fuzzy, and then sets the labels aside for the part that actually decides whether an assistant names your business.
SEO: the layer you already know
Search engine optimization is the twenty-year-old discipline of helping your pages rank in search results: a crawlable site, pages that answer what people search for, links and citations that signal you’re real, accurate local listings. Google publishes its own starter guide, and none of it stopped mattering.
If anything, SEO matters more in the AI era than the “SEO is dead” headlines suggest — because when an AI assistant answers a question about local businesses, it usually runs web searches first and reads what comes back. Pages that rank are pages that get retrieved. A business invisible to search engines is invisible to the assistants that use them. SEO is the plumbing under everything else on this page.
What changed is what happens after the ranking. A search engine hands your customer the list; an assistant reads the list for them and hands back an answer. Ranking gets you into the assistant’s reading pile. It no longer guarantees you’re in what the customer sees.
AEO: being quotable
Answer Engine Optimization starts from that shift. If an engine’s output is an answer rather than a list of links, the question stops being “do I rank?” and becomes “when the engine reads my page, can it lift an accurate answer out of it?”
In practice, AEO is mostly craft-level content work:
- Answer questions directly. A page that opens with “Yes, we do mobile tint on weekends — here’s how booking works” is quotable. A page that buries the same fact under three paragraphs of brand story may not be.
- State facts in machine-readable form. Hours in an image or a PDF are invisible to most parsers. Structured markup — schema.org — is how a page states its facts in a form machines read reliably.
- Keep facts consistent everywhere. An answer engine reading three sources with three different phone numbers has no way to know which one is right.
You’ll notice AEO is not exotic. Most of it is what a careful web writer and a competent SEO would have done anyway — pointed at a new reader that is faster, stricter, and unable to shrug off contradictions the way a human skimmer can.
GEO: being retrieved and recommended
Generative Engine Optimization is the newest label and the loosest. As we use it, GEO covers the layer above individual pages: improving how generative AI systems — ChatGPT, Google Gemini, Perplexity, and the rest — retrieve, weigh, and recommend your business when a customer asks a question you never see.
That means working on the whole source ecosystem an assistant reads, not just your website: your Google Business Profile, the directories and review platforms assistants cite for your kind of question, duplicate listings that split your identity, stale facts that keep resurfacing from a listing you forgot existed. How assistants actually choose which businesses to name is its own article, but the short version: they read a handful of sources and compose an answer, so GEO work is source work.
A confession about the terminology
Now the honest part. If you read five articles about this field, you’ll find five vocabularies. Some people use GEO to mean everything we just called AEO. Some use AEO for what we called GEO. You’ll also meet AIO, LLMO, “AI SEO,” and whatever was coined last quarter. There’s no standards body, and no consensus yet on where one term ends and the next begins.
We’re telling you this for a practical reason: if a vendor’s pitch leans hard on one acronym being the real one and the others being obsolete, that’s a marketing choice, not a technical fact. The terms describe overlapping work on the same underlying machinery. Judge any vendor — us included — on what they actually measure and fix, not on which three letters they lead with.
The mechanics underneath the acronyms
Strip the labels off and the whole field reduces to three questions, and each one is checkable:
Retrieval — can AI find you? When an assistant searches on a customer’s behalf, do the sources that come back include you? If you’re missing from what it reads, no amount of quality anywhere else puts you in the answer.
Accuracy — does it get you right? When an assistant does talk about you, is each claim correct — hours, phone, services, prices? Wrong facts in AI answers trace back to wrong facts in sources, and sources can be fixed.
Citations — whose sources does it trust? Grounded assistants attach citations to their answers. That trail shows exactly which sources earned each answer — yours, a competitor’s, or a directory neither of you controls — and it’s what makes this whole layer measurable instead of mystical.
Those three mechanics are precisely what we measure as Discovery Rate, Answer Accuracy, and Citation Share — the definitions live in What is AI visibility? One thing no acronym changes: nobody can guarantee what an assistant says, and anyone who promises a mention is guessing.
What we call it — and why
We use AI visibility as the plain-English umbrella for the AI layers of this work, and we’ve answered the acronym question in brief on our FAQ. Not because our label is more correct than the others — see the confession above — but because you shouldn’t need to keep an unsettled glossary straight to know what you’re buying: measurement of what assistants say about your business, fixes to the sources they read, and proof of the change.
If you want to see where you stand before caring about any of this vocabulary, check what AI says about your business yourself — free, no tools to buy. And if you’d rather have it measured properly, that’s the service, and the first look is free.