AEO vs GEO vs SEO: the acronyms, settled

Three acronyms, one job, and a lot of people arguing about it on LinkedIn. Let's settle this.

• SEO — get a link of yours ranked on a results page.
• AEO — be the answer, not a link. Featured snippets, voice assistants, knowledge panels. Predates AI.
• GEO — be named and cited inside an answer a model generated by synthesizing many sources.

That's the honest taxonomy. SEO is genuinely distinct. AEO and GEO have collapsed into roughly the same set of tactics, and if you're doing one properly you're doing most of the other. The reason both terms persist is that they came from different eras and different people wanted credit.

Where did each term actually come from?

Understanding the origins explains the confusion better than any definition does.

SEO dates to the mid-1990s and has always meant the same thing: influence where your pages appear in a ranked list of links.

AEO emerged around 2018-2020, driven by two things that had nothing to do with generative AI. Google's featured snippets started eating the click for informational queries, and voice assistants (Alexa, Siri, Google Assistant) could only read out one answer. If a machine is going to speak a single response aloud, ranking third is worthless. So practitioners started optimizing for extraction: short direct answers, question-shaped headings, FAQPage and HowTo schema, tables the engine could parse. All of that work is still valid. It was just built for a world where the engine extracted an answer from one page rather than synthesizing one from many.

GEO was coined in a 2023 academic paper by researchers from Princeton, Georgia Tech, the Allen Institute for AI and IIT Delhi. They defined "generative engines," built a benchmark, and tested which content modifications increased a source's visibility in generated answers. The term arrived from research rather than from a vendor, which is a large part of why it won.

Then 2025 happened, every tool vendor in the space needed a category name, and we got AIO, LLMO, AI SEO, GAIO, and AI visibility in the space of about eight months. Those are synonyms with marketing budgets attached. They don't describe different work.

So what's the real difference between AEO and GEO?

The mechanism the engine uses to produce the answer, and therefore what you're competing on.

The subtle but important row is the last one. AEO is checkable: you either own the snippet or you don't. GEO is probabilistic, because generated answers vary between runs. Two people asking the same question can get different brand lists, so any single check is noise. You have to run a fixed prompt set repeatedly and read the rate, which is a fundamentally different measurement problem and the reason tracking tools exist as a category at all.

The other important row is off-site work. In AEO, if your page is the clearest answer, you win. In GEO, you can have the clearest page on the internet and still lose, because the model wants corroboration before it names a brand. A single page making a claim about itself is one unsupported source. Four independent sources making the same claim is a fact the model will state.

Which term should I use?

Use GEO. Three reasons, none of them aesthetic:

1. It has the academic origin. Terms with a citable paper behind them survive. "AEO" has no such anchor.
2. It names the commercially important surface. Voice assistants and featured snippets are a rounding error next to ChatGPT's 900M weekly active users and Google AI Mode passing 1 billion monthly users.
3. The market has already voted. The tool category, the job postings, and the conference tracks say GEO. Fighting that is a waste of energy you could spend getting cited.

Use AEO only when you're specifically talking about featured snippets and voice, which is a narrower and mostly older problem. Skip AIO entirely, because half the industry uses it to mean "AI optimization" and the other half uses it to mean "AI Overviews optimization," and an acronym with two meanings is worse than no acronym.

And do not stop saying SEO. It's a distinct, load-bearing discipline. Every generative engine that grounds its answers retrieves from a web index, and the pages that rank are disproportionately the pages that get retrieved. Your technical SEO is the foundation your GEO sits on. Which is also why the "SEO is dead" takes are commercially motivated nonsense: what died is the click, not the index. Ahrefs measured the #1 organic result losing 58% of its clicks when an AI Overview appears. It still ranks. It still gets retrieved. It just doesn't get visited.

Do the tactics actually differ?

Barely, and this is the practical punchline. Here's the same work, mapped to which acronym claims it:

Look at the bottom half of that table. The rows where GEO diverges hardest from the other two are all off your own site. That's the real content of the distinction, and it's why teams that treat GEO as "SEO but write shorter paragraphs" don't move their numbers. The paragraphs help. The paragraphs are not the constraint.

Why can't the industry just agree?

Two reasons, one boring and one cynical.

The boring one: the surfaces arrived faster than the vocabulary. AI Overviews, AI Mode, ChatGPT search, Perplexity and Gemini all shipped or materially changed within about eighteen months. Nobody had time to standardize language while the ground was moving.

The cynical one: naming the category is worth money. If you launch a tool and successfully convince the market that the discipline is called "answer engine optimization," and your product is named after that, you own the search term for the category. Several vendors tried exactly this. That's why the term count exploded in 2025 and why the definitions you'll find on vendor blogs conveniently center whatever that vendor sells.

It'll settle. "SEO" beat "search engine marketing," "web positioning," and half a dozen other candidates in the early 2000s, and it settled by critical mass rather than by anyone being right. GEO is currently winning by the same mechanism.

Does the terminology matter at all?

For your strategy, no. For your internal communication, a little.

What matters is that everyone on your team knows they're being measured on a different scoreboard now. Position and clicks are still real, but they're no longer the whole picture. The new numbers are:

• Mention rate — what share of your tracked buyer questions produce an answer that names you
• Share of voice — of all brand mentions across your prompt set, what fraction are yours
• Citation share — how often your domain is one of the linked sources
• Sentiment — recommended, mentioned neutrally, or mentioned as the thing to avoid

Whether you write "GEO" or "AEO" at the top of that dashboard changes nothing. Not having the dashboard changes everything, because 51% of B2B software buyers now start their research in an AI chatbot and 33% ended up buying from a vendor they'd never heard of before the AI named it. If you're not on the model's shortlist you never reach the funnel you're measuring.

If you want the definitions in one place, we keep a glossary of every term in this space, including the ones we think you should ignore.

What to do next

1. Pick GEO and standardize on it internally. Put it in the doc, the dashboard, and the quarterly goals. Stop the acronym argument by decree, because there is no answer worth the meeting time.
2. Stop running AEO and GEO as separate workstreams if you are. It's one program: answer-first structure, schema, crawler access, third-party corroboration.
3. Audit where you're actually losing. Pull the sources cited in AI answers for your top buyer questions. If competitors dominate the listicles, that's an outreach problem, not a content problem, and no amount of on-page work fixes it.
4. Add mention rate and share of voice to your reporting, next to organic position. Two scoreboards, one dashboard.
5. Baseline across every engine, not one. Run the free AI visibility report to see which engines already name you. Most tools in the category gate engines behind higher tiers, which is worth knowing before you pick one. Spottlo includes all four on every plan.