AEO vs GEO vs SEO
Four acronyms, one job, and a great deal of confusion sold as strategy. This page sets AEO, GEO, LLMO, AIO, and plain SEO side by side, shows the three places they genuinely differ, and names the much larger area where they are simply the same work wearing different labels.
SEO competes for a position in a list of links, and the other three all compete for a place inside an answer a machine writes. That single distinction explains almost every real difference between them, and almost everything else is vocabulary.
Why This Field Has Four Names for Almost the Same Job
A field that is naming itself in real time produces competing coinages, and this one produced several at once. Between 2023 and 2025, as AI systems began answering questions in prose instead of returning ten links, practitioners, vendors, and researchers each reached for a term. None of them was appointed. Each stuck in a different corner of the industry.
This is not a sign of a confused discipline. It is what naming looks like before a winner emerges. The practical consequence is that you will see the same advice sold under four labels, and you will occasionally see a vendor imply that their acronym is a distinct methodology you must buy separately. It is worth being able to tell the real differences from the marketing, so here they are.
SEO
Search Engine Optimization Competes forA position in a ranked list of links UnitThe page RewardA click to your site OriginMid 1990sAEO
Answer Engine Optimization Competes forBeing the answer to a question UnitThe answer RewardSelection as the response OriginPredates generative AI, in snippets and voiceGEO
Generative Engine Optimization Competes forBeing cited inside a composed answer UnitThe passage RewardRetrieval and attribution OriginNamed in 2023 researchLLMO / AIO
LLM Optimization / AI Optimization Competes forHow a model represents your brand at all UnitThe entity RewardAccurate recall and recommendation OriginPractitioner coinages, 2023 onwardWhat Each Term Actually Claims
SEO is the original discipline and the only one of the four with thirty years behind it. It optimizes a document so that a ranking algorithm places it high in an ordered list. The currency is position, links, and clicks, and the human chooses from the options presented. Everything else on this page inherits SEO's technical groundwork and then changes the objective.
AEO concerns itself with being the direct answer rather than one of many options. It predates the generative wave, because featured snippets and voice assistants already collapsed ten results into one spoken or boxed response. AEO's instinct is to write content that answers a specific question completely and unambiguously, in a form a machine can lift whole.
GEO is the most precisely defined of the newer terms, because it came out of research rather than a sales deck. It targets the two-stage machine behind a generative answer: a retrieval step that decides which passages are even considered, and a generation step that decides which of those get quoted and attributed. GEO's currency is retrievability and citation worthiness.
LLMO and AIO zoom out further. LLMO frames the goal around influencing what a specific model says about you, including what it carries in its weights rather than what it retrieves at runtime. AIO is the widest umbrella and tends to be used when the speaker means the whole field rather than a technique.
The Three Differences That Actually Matter
Strip away the vocabulary and the newer terms differ from SEO in exactly three ways. Every other distinction you will read is a consequence of one of these.
One. The unit of competition shrinks
SEO competes with a page. A generative engine retrieves and quotes a specific chunk of text, so the thing competing is a passage. This is why a self-contained paragraph that answers one question completely now outperforms a sprawling article that buries the same answer in paragraph fourteen.
Two. The judge changes from a ranker to a reader
A ranking algorithm scores and orders documents. A generative engine reads across sources and decides which to trust enough to quote. Matching a keyword string gives way to matching meaning, which is why semantic clarity and consistent identity now matter more than exact phrasing.
Three. The prize stops being a click
In SEO the reward is a visit. In the newer disciplines the reward is frequently a mention with no visit at all, because the customer got what they needed from the answer. That single change is why being the named, cited authority is worth more than it used to be, and it is the change people keep mistaking for the death of search.
Where They Are Simply the Same Work
The differences above are real, and they are also smaller than the overlap. In day to day practice the four disciplines converge on nearly identical instructions, because they are all downstream of the same question: can a machine reach your content, understand what it says, work out who you are, and find you credible enough to repeat?
Everything below is required by all four, under any name:
- A site a machine can crawl, render, and parse without JavaScript getting in the way
- Accurate, literal structured data that says plainly what your business is
- A consistent identity across every surface where you appear, so the engine can resolve you to one entity
- Claims stated in plain, quotable prose rather than implied through design
- Independent corroboration from sources that are not you
If a vendor tells you their AEO service is fundamentally different work from their GEO service, that list is the fastest way to test the claim. Most of the effort, under any acronym, goes into those five things.
The acronym you choose changes nothing about the work. A business that is crawlable, semantically clear, consistently identified, and independently corroborated will do well under every one of these labels, including the ones nobody has coined yet.
So Which Term Should You Use?
GEO is the safest default. It has the cleanest origin, it names the thing being optimized for with real precision, and it is the term the rest of the field is drifting toward. Use AEO when the goal genuinely is to be the single direct answer to a specific question, because that is the case it describes best. Use LLMO when the conversation is about what a model knows rather than what it retrieves. Use AIO when you mean the whole field.
What is not worth doing is spending real time on the argument. The vocabulary will settle on its own within a few years, and whichever word wins, the underlying work described on this page will be the same work.
What None of Them Change
There is a persistent implication in this corner of the industry that AI search made the old fundamentals obsolete. It did not. Every discipline on this page still depends on a page a machine can reach, read, and parse. Crawlability, clean markup, fast and stable pages, and accurate structured data are prerequisites for all four, not legacy concerns.
What changed is their status. Being reachable and readable used to be much of the game. It is now the entry fee, and the game is played on top of it.
Common Questions
What is the difference between AEO and GEO?
AEO (Answer Engine Optimization) is about being the direct answer to a question, a concern that predates generative AI and covers featured snippets and voice results. GEO (Generative Engine Optimization) is about being retrieved, cited, and synthesized into a longer answer that an AI engine composes from several sources. AEO asks whether you are the answer. GEO asks whether you are in the answer. In daily practice the tactics overlap almost completely.
Is GEO just a new name for SEO?
No. SEO optimizes a page to rank in an ordered list of links, where the reward is a click. GEO optimizes a passage to be retrieved and quoted inside a composed answer, where the reward is often a citation with no click at all. GEO inherits SEO's technical foundation, so the work rhymes, but the unit of competition, the judge, and the prize are all different.
Which term should I use: AEO, GEO, LLMO, or AIO?
GEO has emerged as the front-runner for the headline term, helped by its academic origin in 2023 research. AEO is the most useful when the goal is a direct answer to a specific question. LLMO is favored by people focused on the model itself rather than the retrieval layer. AIO is the broadest umbrella. None of them is wrong, and arguing about the label is a poor use of time, because all four describe the same underlying work.
Does AI search mean SEO no longer matters?
No. Every one of these disciplines still depends on a page a machine can reach, read, and parse. Crawlability, clean markup, fast and stable pages, and accurate structured data are prerequisites for all of them. What has changed is that being reachable and readable is now the entry fee rather than the whole game.
How AIOInsights Reads This
We use these terms the way this page does, as the field's vocabulary for a shared body of work, and we do not grade anyone on which acronym they prefer. Our evaluation measures the observable conditions underneath all four: whether your pages are reachable and parseable, whether your identity resolves consistently, whether your claims are stated in literal text a machine can quote, and whether anyone independent corroborates them. You can read the exact rules in our scoring methodology.
Every one of those checks is real and deterministic. We inspect what is actually published rather than estimating what a model might think, because a guess dressed as a score is worth nothing to you.
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