SEO vs GEO vs AEO vs AI SEO: What Each One Actually Means

AEO and GEO are not the same thing, and AI SEO means two unrelated things depending on who is saying it. These four acronyms get used interchangeably in most marketing writing, which makes it genuinely hard to tell whether two people discussing "GEO strategy" are talking about the same activity.

Here is what each one actually refers to, where the overlap is real, and which distinction matters in practice.

SEO: optimising for a ranked list

Search engine optimization is the original and the most precisely defined. The goal is to appear as high as possible in a ranked list of links for a given query, and the measurement is position: you are third, you want to be first.

Everything downstream follows from that list structure. You can be position eleven and still get some traffic. You can measure impressions, clicks and click-through rate because the list is presented to a user who chooses from it. Rank tracking exists because rank exists.

SEO is not going away, and framing it as obsolete is a marketing move rather than an observation. Most categories still see the majority of research traffic through conventional search.

AEO: optimising to be the answer

Answer engine optimization is about being the source a system uses to answer a direct question, rather than one option in a list of links.

The important and frequently missed point is that AEO predates generative AI. It covers featured snippets, "people also ask" boxes, and voice assistants answering a spoken question. All of those select a source and present its answer directly, with the list either demoted or absent.

AEO's core discipline is therefore extraction: can a machine lift a clean, correct, self-contained answer out of your page? That is why AEO work concentrates on question-shaped headings, direct answers stated before the supporting detail, and structured data such as FAQ markup. The FAQ schema generator exists for exactly this, and schema markup for AI covers which types earn their place.

GEO: optimising for generative answers

Generative engine optimization is the newest term and the narrowest. It specifically targets being named and cited inside AI-generated prose from assistants such as ChatGPT, Gemini, Claude and Perplexity, and inside Google's AI Overviews.

GEO differs from AEO in an important way. A featured snippet quotes one source. A generative answer synthesises several sources into new prose and may name three to five brands in a single response. You are not competing to be the single answer; you are competing to be in a shortlist that the model assembles.

That changes the tactics. Being quotable still matters, but so does being describable: the model needs a consistent, confident sense of what your company is and which category it belongs to, assembled from many sources rather than one page. It also makes third-party coverage disproportionately important, because the model is drawing on sources you do not control. What is GEO covers the fundamentals, and how AI assistants choose brands covers the selection mechanics.

AI SEO: two different activities, one label

This is the genuinely ambiguous one, and the ambiguity causes real confusion in vendor conversations.

Meaning one: optimising so AI systems cite you. Used this way, AI SEO is a synonym for GEO, and the distinction is purely stylistic.

Meaning two: using AI to do SEO work. Used this way, it means generating content briefs, drafting posts, clustering keywords or automating audits with AI tools. This is about your internal workflow and has nothing to do with whether assistants mention your brand.

These are unrelated activities. A vendor selling "AI SEO" might be selling either. Ask which before you evaluate anything, because the two products have almost no overlap in what they deliver.

Where they genuinely overlap

Strip away the labels and the underlying work converges more than the acronym count suggests. All four depend on:

• Being reachable. Crawlers must be able to fetch and parse your pages. Covered in preparing your website for AI crawlers.
• Being clear. Content that states what it means plainly outperforms content that buries the point, for both ranking algorithms and language models.
• Being credible elsewhere. Third-party coverage feeds both traditional authority signals and the model's sense of who you are.
• Being structured. Schema and clean heading hierarchy help every system that parses your page.

Roughly seventy percent of the tactical work serves all four. Teams that treat GEO as a wholly separate discipline requiring a new stack usually end up rebuilding things they already had.

Where they genuinely differ

The divergence is in measurement, and it is close to total.

SEO measures position, impressions and clicks. Those metrics do not exist in a generative answer. There is no position, because there is no list. There are no impressions, because nobody reports how many times an assistant considered and rejected you. There are frequently no clicks, because the user got their answer without leaving the chat.

What replaces them is a different set: are you named, how prominently, are you cited with a link, and how are you described. Those four are what an AI visibility score is built from, and none of them appears in a rank tracker.

This is why the honest framing is not "SEO is dead" but "your measurement no longer covers where your buyers are asking." The work overlaps heavily. The visibility into whether it is working does not.

Which one should you actually care about?

A practical rule: stop optimising for the acronym and start measuring the outcome.

The outcome all four describe, in different vocabulary, is whether the systems your buyers use will put you in front of them. If your buyers ask AI assistants for recommendations in your category, then whether you call it GEO, AEO or AI SEO, the question is the same: when someone asks a generic buying question in your space, are you named?

That is measurable directly. The free AI Visibility Scorecard asks unbranded category questions across the major assistants and shows which name you and which name competitors. For the ongoing version, the AI visibility tracker runs it continuously.

If you want the deeper comparison of just the two newest terms, GEO vs AEO vs AI visibility goes further on that specific distinction, and the LLMO glossary entry covers yet another label for adjacent territory.