GEO vs SEO vs AEO

Three acronyms, one nagging question: are SEO, AEO, and GEO really different jobs, or the same work relabeled for the AI era? The honest answer is mostly the latter, with one real exception: optimizing for Google's AI is still ordinary SEO, while the non-Google engines are a genuinely new surface.

Three acronyms, one confused reader

SEO, AEO, and GEO get used as if everyone agrees on what they mean. They don't. Some sources sell them as three separate disciplines, each demanding its own strategy, its own tools, and its own budget. Others insist they're all just SEO wearing new labels. Both camps sound confident, which is exactly why the terms feel so slippery.

The question behind the acronyms is real, though. In Google Search an AI Overview sits above the classic list of links, and in AI Mode, ChatGPT, Claude, and Perplexity the answer arrives with a handful of citations instead of the classic results list, so "how do I show up there" is a fair thing to ask.

What each term actually means

All three describe ways of earning visibility from a search system. They differ in which system, and in what "visibility" looks like when you get it.

SEO (search engine optimization) is the established practice of getting pages to rank in traditional search results: the list of links on a Google or Bing results page. It's the oldest and broadest of the three, and the one whose vocabulary (rankings, keywords, backlinks, crawling, indexing) everything else borrows.

AEO (answer engine optimization) is about being the answer itself rather than one link among many. That means featured snippets, voice assistants, "people also ask" boxes, and now the AI answer boxes that sit at the top of a results page. The idea is older than it sounds: it grew out of the featured-snippet and voice-search era, well before ChatGPT existed. It has no single canonical origin; it accumulated, the way industry shorthand does.

GEO (generative engine optimization) is about being cited or mentioned inside a generated answer from an AI engine such as ChatGPT, Perplexity, Gemini, or Claude. Unlike AEO, GEO has a clean origin. The term was introduced in a 2023 research paper (Aggarwal et al., later accepted to KDD 2024), which formalized the idea of "generative engines" and named the practice: "we introduce Generative Engine Optimization (GEO), the first novel paradigm to aid content creators in improving their content visibility in generative engine responses through a flexible black-box optimization framework for optimizing and defining visibility metrics." A search engine returns links for you to open; a generative engine composes an answer and, at best, cites you as a source. GEO is the practice of becoming the source it cites.

One more label circulates over the same ground. AI search optimization gets used for the whole of it: optimizing for whatever an AI system puts in front of a searcher, whether that is an answer box, an AI Overview, or a chat response. Like AEO, it has no canonical origin and is not defined the same way twice. It is an umbrella label, not a fourth discipline.

Held together, the three form a rough timeline rather than three rival schools: SEO is the umbrella, and AEO (answer engine optimization) and GEO (generative engine optimization) are newer names for optimizing toward newer surfaces, first answer boxes, then generated answers.

Where they overlap and where they differ

The honest headline is that the three differ far more on surface and measurement than on fundamentals. What changes is where your content appears and how you count success. Google says the requirements for appearing in its AI features barely change. For the other engines, the fundamentals are the sensible starting bet rather than a documented rule.

Read down any column and the underlying demands are the same. The core work is shared; the surface and the way you measure success change. Which raises the obvious question: if the core work is shared, are these really three disciplines at all?

So how different are they, really?

Here's the answer most guides dodge: for a large share of what you'd actually do, these are the same discipline aimed at different surfaces, not three separate jobs. But there is one real distinction hiding under the acronyms, and the clean way to find it is to stop splitting by term and start splitting by engine.

Google's AI runs on regular Search. AI Overviews and AI Mode are grounded in Google's core Search index through retrieval: the pages that feed those AI answers are the pages Googlebot already crawls and Google's ranking systems already rank. Google is unusually direct about what that implies. In Google's own guidance, the acronyms are named and then dissolved: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO." The same document explains why: "The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems." So for Google's AI features, "GEO" and "AEO" are, in Google's own framing, just SEO. There is no side door.

Non-Google AI engines are the genuinely new surface. ChatGPT, Perplexity, and Claude are not built on Google's index. They run their own crawlers: OAI-SearchBot, Claude-SearchBot and PerplexityBot. They retrieve from indexes that are not Google's, sometimes their own and sometimes a partner's. Which sources a generated answer ends up citing is not documented by any of them. Ranking well on Google does not automatically carry over. For these engines, GEO raises two distinct questions: can their bots access your pages at all, and is your page the clear, quotable source an engine would cite when it assembles an answer?

What this means for what you actually do

Nothing on the GEO or AEO side asks you to undo good SEO; each simply extends where the same work pays off.

Use the fundamentals Google documents for its own AI features as a sensible baseline everywhere else:

• Publish genuinely useful, non-commodity content: the kind an answer engine would want to quote, not just rank.
• Make it crawlable and indexable, by Googlebot and by the AI engines' own bots such as OAI-SearchBot, Claude-SearchBot, and PerplexityBot. A page no bot can fetch cannot be quoted from, and both Google and OpenAI note that a blocked page can still surface as a bare link and title, without the text that would let an engine cite it.
• Structure it so a machine can lift a clean answer out: direct headings, a real answer near the top of each section, no burying the point.
• Build real topical authority, and keep the content current.

Just as important is what you can skip. For Google specifically, its guidance is blunt: "You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search (including its generative AI capabilities), as Google Search itself doesn't use them", and "Structured data isn't required for generative AI search, and there's no special schema.org markup you need to add". Anyone selling special AI files or magic schema as the price of entry to Google's AI features is selling something Google says it doesn't read. Structured data has its own uses, but this is not one of them.

That does not mean you can ignore AI entirely: for the engines behind ChatGPT, Claude, and Perplexity, letting their bots reach you is the one prerequisite they actually document. Check that your robots.txt isn't blocking OAI-SearchBot, Claude-SearchBot, or PerplexityBot if you care about being cited by those engines.

If you've been feeling behind for not having "done GEO," you can relax. There's no separate ladder you failed to climb. Get the fundamentals right, let the AI engines' bots reach you, then watch whether you actually get cited.

FAQ

Does GEO replace SEO?

No. For Google's AI features, GEO effectively is SEO; for other AI engines, it's a new surface that stands on the same fundamentals rather than replacing them.

Do I still need SEO if I focus on AEO or GEO?

Yes. Crawlable, indexable, authoritative content is the foundation both AEO and GEO depend on; neither works on a site that search systems can't read or trust.

Is AEO the same as GEO?

Overlapping, not identical. AEO is the older idea of being the answer in snippets, voice results, and answer boxes; GEO is the newer practice of being cited inside answers that AI engines generate.

Is AI search optimization the same as GEO?

Broadly, yes. AI search optimization is an umbrella label for optimizing toward any AI-driven search surface, so it covers GEO and AEO both. It has no fixed definition, so when you see it, check which surface the writer actually means.

How do I measure GEO or AEO success?

By citations and mentions in AI answers and by snippet capture, not rankings alone. For Google specifically, Search Console's generative-AI performance reporting shows how your content surfaces in its AI features.

Where did the term GEO come from?

From a 2023 research paper (Aggarwal et al., later accepted to KDD 2024) which coined "generative engine optimization" and formalized the idea of generative engines.