There are four names in circulation for the same work.
Generative engine optimization (GEO), answer engine optimization (AEO), large language model optimization (LLMO), and AI SEO. Different conferences prefer different ones. Different agencies sell them as different products.
They describe one job: being the source an AI assistant uses when it answers a question about what you do.
This post explains what each term actually means, why the distinctions matter less than the names suggest, and what the work is once you get past the vocabulary.
The four names, briefly
Generative engine optimization is the most common term now. A generative engine is one that writes an answer rather than listing links — ChatGPT, Perplexity, Google's AI Mode. Optimizing for it means being among the sources it draws on.
Answer engine optimization is the older term, and it predates the current wave. An answer engine returns a direct answer rather than a page of results, which featured snippets and voice assistants were already doing years before anyone said "generative". The name survived and got reused.
Large language model optimization is the most literal, and the least useful in practice. Taken at face value it means influencing what a model knows from training. For almost every business that is not a realistic goal — you are not going to change what a model absorbed from the open internet. Where it means anything actionable, it collapses back into the same work as the other three. It is a term with a real technical meaning that mostly matters if you are a very large brand.
AI SEO is the plainest of the four and the one clients use unprompted. It carries the useful implication that this sits alongside search work rather than replacing it.
We do not sell these separately. They are one discipline with an unsettled name, and if someone quotes you four prices for four acronyms, that is worth a question.
Why the names multiplied
New disciplines generate vocabulary faster than they generate consensus, and there is a commercial incentive to coin a term you can own. It happened with "inbound marketing" and it happened with "growth hacking".
The useful signal is not which word an agency uses. It is whether they can describe the work without the word.
What the work actually is
Five things, none of which are new inventions and all of which now matter more.
Entity clarity
An assistant has to be able to tell who you are, what you do, and that the Ernst Media on your site is the Ernst Media in the directory and on the review site. That means one consistent description of the business across the places a model reads, and structured data that says it in a form a machine can parse without inference.
This sounds like housekeeping. It is the difference between being a citable entity and being an ambiguous string.
Structured data that matches the page
Schema markup that describes what the page actually says — organization details, article authorship, FAQ blocks whose answers are the real answers rather than keyword-stuffed placeholders.
The point is not that markup causes citation. It is that markup removes ambiguity about what your page claims, and an assistant choosing between two sources will more readily use the one it can parse unambiguously.
Answer-shaped content
The structural change that matters most, and the cheapest to act on.
An assistant extracting a claim reads the sentence under the heading. If your answer arrives in the fifth paragraph after a preamble about how important the topic is, it may not be found at all. Put the answer first. Use the question as the heading. Then explain, qualify and give the example underneath, for the human who wants more.
This is also just better writing. The AI use case makes the cost of burying your point explicit.
Citations on the sources the engines pull from
Assistants disproportionately draw on a handful of places: Reddit, LinkedIn, YouTube, industry directories, review sites. Being present and accurate there feeds the same models that answer questions about your category.
This is the part most like traditional digital PR, and the part most people skip because it happens off their own site.
Measurement, monthly
AI results are less stable than search rankings. The same question can produce a different set of sources a week later, with no change on your end. There is no rank tracker for it in the sense that SEO has one.
That instability is exactly why this gets measured on a schedule rather than checked once. We run a set of real questions across the assistants each month and record who gets cited, and we watch the AI Assistant channel in GA4, which separates assistant referrals from ordinary organic traffic.
A single check tells you almost nothing. A monthly series tells you whether you are trending into the answers or out of them.
What nobody can sell you
There is no submission form. There is no placement to buy. No agency, including this one, can guarantee that ChatGPT or Google's AI Mode will mention your business, and anyone who offers that guarantee is either misunderstanding the mechanism or counting on you to.
What is achievable is making your site the easiest, clearest, most obviously credible thing to cite on the questions that matter to your business — and then measuring whether it happens, honestly, over months.
When this is not worth doing yet
If your site is not indexed properly, or your service pages do not explain what you do, AI search work is the wrong thing to buy first. Assistants read the open web. If search engines cannot make sense of your site, neither can the models trained on it.
Fix the foundation, then add this layer. We will say so on the first call if that is the order you need, and there is no reason to spend money on the second thing before the first.
If your customers do not ask questions before they buy — pure impulse or pure price-comparison purchases — this matters less for you than it does for a considered purchase with a research phase.
The short version
The four names describe one discipline. The work is entity clarity, structured data, answers written where they can be found, citations on the sources the models actually read, and measurement every month because the results move.
If you want that done on your account, that is what our AI SEO and generative engine optimization service is. Same terms as everything else we do: month to month, flat $95 an hour, no percentage of anything.
Founder of Ernst Media. Fifteen years running paid search and paid social for small and mid-size businesses, and still the person who builds the audits by hand. Writes here about what actually moves accounts.