That is the whole definition. What follows is the part worth arguing about: whether it is a new discipline, what actually influences it, and which of the advice being sold is supported by evidence.
I have written before that GEO, AEO, and LLMO are three names for one goal, and that anybody presenting one as a separate discipline requiring its own retainer is selling a naming convention. I still think that. The label is noise.
The underlying shift is not noise, and it is now measurable.
What changed
Ranking and citation are different outcomes. A page can rank first and never appear in an AI answer. A page can be cited without ranking at all.
For most of search history those were the same thing, so nobody needed a separate word. They have come apart, and the numbers are specific.
An Ahrefs study of three hundred thousand keywords found that the top organic result loses about fifty eight percent of its clicks when an AI Overview appears above it. That is the pressure everybody feels.
Here is the finding that matters more for a small business. Analysis of AI Overview citations found that thirty eight percent came from pages already ranking in the top ten, down from seventy six percent in earlier studies.
Read that twice. AI systems used to mostly cite whatever already ranked. Increasingly they do not. Which means being cited no longer requires winning the ranking fight first, and that is the first genuinely good news small businesses have had from any of this.
You used to need to outrank a competitor to be seen. Increasingly you need to be clearer than them. Those are different competitions and the second one is winnable by a business your size.
What the evidence actually supports
Most AEO advice is assertion. There is one substantial empirical study, from Princeton, which tested content changes across ten thousand queries and measured the effect on citation.
Three findings held up.
Adding quotes from an identified expert increased visibility by roughly forty one percent. The largest single effect measured.
Adding statistics increased it by around thirty percent. Specific numbers, attributed to a source.
Adding citations to other sources increased it by around thirty percent. Pages that reference where their information came from get referenced more themselves.
Notice what those three have in common. All are ways of making a claim verifiable rather than merely stated. That appears to be the mechanism, and it is a reasonable thing for a machine to select on.
Separately, analysis of seventeen million citations found AI surfaced pages were about twenty six percent fresher than typical search results. Recency matters more here than in traditional search.
What that means for a page
Concretely, and none of this requires a specialist.
- 01Answer the question in the first two sentences. Do not build to it. A machine extracting an answer takes what is near the top
- 02Use the question as a heading, phrased the way somebody would actually ask it
- 03Include at least one specific number, with a source
- 04Quote somebody identifiable, including yourself, with your name and what you do
- 05Link to where your facts came from
- 06Keep the language consistent. Call the same thing the same name every time, because ambiguity forces a guess
- 07Update pages that matter and note when you did
That is the entire technical practice. Everything else being sold on top of it is packaging.
"There are many factors affecting how long a tile roof lasts in the desert, and the answer depends on several variables we will explore below." Nothing extractable. Versus: "A tile roof in the Las Vegas valley typically lasts fifty to seventy years, though the underlayment beneath it usually needs replacing at twenty to twenty five years because of UV exposure and heat cycling." A machine can lift the second sentence directly into an answer and credit you. The first sentence is unusable to anybody, human or otherwise.
Where schema fits
Structured data helps. It does not guarantee anything, and vendors overstate it.
What it does is remove ambiguity. Marking up your business details, your reviews, your services, and your questions and answers tells a machine what each thing is rather than making it infer. That improves the odds of being understood correctly, which is a precondition for being cited but not a cause of it.
Add it. Do not expect it to be the lever.
Different systems behave differently
Worth knowing, because advice often assumes one target.
Google AI Overviews still draw heavily from pages that rank, though less than they used to. Perplexity weights freshness and authority. Assistants answering business questions lean on your business profile, your reviews, and third party mentions at least as much as your own site.
For a local service business, that last point is the important one. Your own website is one input among several, and the others are your Google Business Profile, your review corpus, and whether anybody else on the internet has mentioned you. That is closer to local search work than to publishing.
The claims to refuse
Three things get sold that should not be.
Guaranteed placement in AI answers. Nobody controls this. Anybody promising it is either misinformed or lying, and there is no mechanism by which they could deliver.
AEO as a separate engagement. The work described above is content work. Paying for it twice under two names is paying for the same thing twice.
Proprietary scores. Vendors have invented metrics with names nobody else uses, which cannot be compared against anything and exist to create a number that goes up.
How to know whether it is working
Not rankings, and not traffic alone.
Ask the assistants directly. Type the questions your customers ask, in the tools they actually use, and see whether you appear. Do it monthly, write down the result, and watch the trend. It is crude and it is the most honest measurement available right now.
Then watch conversions rather than sessions. The consistent finding across sources is that visitors arriving from AI answers convert substantially better than typical organic visitors, because they arrive having already been told you fit their problem.
Fewer visitors, better qualified, is the shape of things now. Measuring by volume will make a good outcome look like a bad one.
The honest summary
AEO is not a discipline. It is a name for the fact that the criteria for being selected changed, and the criteria now favor content that is clear, specific, verifiable, and current.
That was always what good content meant. The difference is that it is now the thing being measured, rather than a proxy for it.