GEO (generative engine optimization) optimizes for being cited or mentioned inside an AI-generated answer. SEO (search engine optimization) optimizes for ranking in the list of links a search engine returns. Both start from the same technical foundation — a page that can be crawled, indexed, and understood — and diverge on what counts as success: one citation inside a single answer, versus a position in a list of many.

What does SEO optimize for?

Google’s SEO starter guide describes SEO as “about helping search engines understand your content, and helping users find your site and make a decision about whether they should visit your site through a search engine.” The unit of success is a listing: a page earns a position in a results page, competes against other listings for the same query, and is judged partly by whether a searcher clicks it.

That framing has been stable for two decades. A page that is well-structured, fast, and authoritative can rank for hundreds of related queries at once, and the searcher chooses which listing to open. The search engine composes a page of options; the site’s job is to be one of the good ones.

What does GEO optimize for?

Wikipedia’s entry on generative engine optimization defines it as “the practice of structuring digital content and managing online presence to improve visibility in responses generated by generative artificial intelligence (AI) systems.” The unit of success is different: not a listing position, but whether a generated answer mentions the business, cites its page as a source, or both.

The term traces to a research paper, GEO: Generative Engine Optimization, accepted at KDD 2024. The paper introduces GEO-bench, a benchmark of queries across domains, and reports that its optimization strategies “can boost visibility by up to 40% in generative engine responses” — a benchmark result from the paper’s own test set, not a guarantee for any specific site or current AI product. The paper also notes that which strategies work “varies across domains,” which is one reason a single formula for GEO does not hold up in practice. For a longer walkthrough of the term and a practical checklist, see the pillar guide to generative engine optimization.

Neither discipline works without the other’s groundwork. Google’s own guidance on AI features in Search states plainly: “The best practices for SEO remain relevant for AI features in Google Search,” and that “all existing SEO fundamentals continue to be worthwhile.” Concretely, a page has to be indexed and eligible to show with a snippet before it can appear in an AI-generated answer at all — the same technical baseline SEO has always required.

The same page adds that “there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary,” and that no new markup, AI-specific text file, or extra schema.org structured data is needed. Crawlability, indexing, page quality, and topical authority are not two separate checklists for SEO and GEO. They are one checklist that both draw on.

Where GEO and SEO differ

Given the shared foundation, the differences sit downstream, in what happens after a page is eligible to be shown:

A citation, not a click. SEO’s outcome is a visit initiated by a person scanning a results page and choosing a link. GEO’s outcome is a citation or mention chosen by the generative system while composing its answer — the reader may never see the underlying page directly, or may see it only as a linked source.
Answer composition, not ranking position. A search results page ranks many candidates in order. A generated answer is composed once, and a source either becomes part of that composition or does not. There is no “position 2” inside an answer the way there is on a results page.
One answer, not ten links. A results page typically surfaces multiple competing sites side by side, letting a searcher compare. A generated answer usually names only the sources the system chose to rely on, which compresses the competitive set a business is actually up against for that query.
Different measurement. SEO is measured with rankings, click-through rate, and organic traffic — metrics tied to a results page. GEO is measured by sampling generated answers and checking whether, and how, a domain appears in them. That is a fundamentally different kind of observation: an estimate from sampled answers, not a live ranking.

Does GEO replace SEO?

No. The sources disagree on how large the gap between the two really is, but they converge on this point. Google’s guidance above already establishes that SEO fundamentals are a prerequisite for AI features, not a separate track. Wikipedia’s GEO entry cites Forrester Research analyst Nikhil Lai describing GEO and related terms as “significantly, but not fundamentally, different from SEO,” and criticizing vendors that exaggerate the distance between the two. The same entry notes that Bing uses “generative engine optimization” as a term while also stating that SEO fundamentals “support eligibility for AI-generated experiences.”

In practice, that means a site with weak SEO fundamentals — poor indexing, thin or unclear content, no demonstrable authority on the topic — has little chance of being cited in a generated answer either. GEO is a further, more specific question you ask about a site that already clears the SEO bar: not just “can this page rank,” but “would a generative system choose to cite this page.” If you are trying to place GEO relative to a third term, our comparison of GEO and AEO and the guide to AIO vs. GEO cover the other pairwise distinctions.

How do I check where I stand today?

Rankings and click-through rate are visible in tools built for SEO. Checking a citation inside a generated answer needs a different kind of look, because the answer itself is the thing being observed, not a results page. Our guide to checking a site’s AI visibility in Chrome walks through doing this for any domain directly from the browser, without leaving the page you’re evaluating.

The extension behind that workflow reports two separate numbers for a domain: an AI score, built from discovery questions that do not name the brand, and a Brand score, built from questions that do name it. Both are on a 0-100 scale, both come from sampled answers rather than a full census of every AI conversation, and both are shown next to the measurement date, an estimated range, the actual questions used, the competing domains that appeared in the same answers, and the sources those answers cited. Our Method page explains how to read those numbers and what they do and don’t establish — a citation shows a source appeared in an answer; it does not by itself show why, or whether anyone visited the site afterward.

Which term should I actually use — GEO, AIO, AEO, or LLMO?

This is less a matter of correctness than of being understood, and the evidence on that point is concrete rather than a matter of taste. In Google autocomplete on September 29, 2026 (US, English), the seed “geo vs seo” returned ten suggestions and all ten were on topic (variations like “vs aeo,” “meaning,” “what’s the difference,” “vs aio,” and “reddit”). “generative engine optimization” also scored ten out of ten on-topic suggestions (meaning, strategies, services, tools, agency, course). “aio vs geo” returned seven suggestions, all on topic, though the seed “aio” alone collides with all-in-one PCs in other contexts. “what is geo” returned zero on-topic suggestions out of ten — geography, geocaching, and geometry filled every slot instead. The narrower abbreviations fared worse still: “aeo” returned one on-topic suggestion out of ten, with the rest dominated by a stock ticker and a film title, and “llmo” returned one out of ten, autocorrected by Google toward “MLO” and “MLOps.”

That pattern also shows up in how the industry actually talks about the topic. Of nine Hacker News threads we reviewed about this space, from mid-2025 through February 2026, every one used “Generative Engine Optimization” or “GEO” in its title; none used AIO, AEO, or LLMO. “GEO” and the full phrase “geo vs seo” are, in other words, the terms people are already searching for and already using to describe this exact comparison — not “AIO,” which people mostly search for other reasons, and not “AEO” or “LLMO,” which barely register as search terms at all. If you’re deciding what to call this work internally, or how to title an article about it, that autocomplete pattern is a reasonable guide. For the fuller set of term definitions side by side, see the Terms section of the pillar guide, including the specific entries for AIO, AEO, and LLMO.

FAQ

Is GEO just SEO with a new name?

No, but it is built on the same foundation. Google’s own guidance states that established SEO practices remain relevant for AI features and that no additional markup or special optimization is required. GEO adds a further, more specific question on top of that foundation: whether a generative system chooses to cite or mention a page, which SEO metrics like ranking position do not measure directly.

Does ranking well in Google search help with GEO?

It helps, because a page generally has to be indexed and eligible to appear with a snippet in Google Search before it can be surfaced in AI Overviews or AI Mode at all, according to Google’s AI features guidance. Ranking well is not the same signal as being cited in a generated answer, but the two are not independent either.

Can I stop doing SEO and focus only on GEO?

That’s not what the sources describe. Forrester’s Nikhil Lai, quoted in Wikipedia’s GEO entry, argues that GEO is “significantly, but not fundamentally, different from SEO,” and Bing describes SEO fundamentals as supporting eligibility for AI-generated experiences. Treat GEO as an additional lens on a site that already has solid SEO, not a replacement discipline.

How do I know if I should even be looking at GEO?

If discovery questions relevant to your business are the kind people now ask an AI assistant directly, rather than typing into a search box, it’s worth checking whether your domain shows up in the resulting answers. Checking a site’s AI visibility from the browser is the fastest way to get a first read before investing further.