GEO vs SEO vs AEO: What Actually Differs, With 90 Days of Citation Data

SEO earns a ranked position so a person clicks through to your site. GEO earns a citation inside an AI-generated answer. AEO describes the same work as GEO with the emphasis on answer format rather than the generative system. All three compete for the same buyer at the same moment, and in most organisations they should be one budget line, not three.

The reason this comparison keeps getting written badly is that almost every version of it stops at that definition. “SEO drives clicks, GEO earns citations” is true and roughly useless. What a marketing lead actually needs to know is where the two diverge in outcomes, because that is what tells you whether you need a separate programme or a modified one.

So here is that, using 5,550 AI responses tracked across three brands between 27 April and 26 July 2026, alongside their organic search data.

The three-way comparison

	SEO	GEO	AEO
Full name	Search engine optimization	Generative engine optimization	Answer engine optimization
Target surface	Google, Bing results pages	ChatGPT, Perplexity, Gemini, Claude, AI Overviews	Any answer interface, including featured snippets and voice
User input	Short keywords	Long conversational prompts	Direct questions
Unit of success	Ranked position	Citation and brand mention	Selection as the answer
Primary metric	Rankings, organic sessions, CTR	Mention rate, citation rate, share of voice	Answer capture rate
Content shape	Comprehensive page matching intent	Self-contained, extractable passages	Question-and-answer structure
Off-site lever	Backlinks	Unlinked brand mentions and entity consistency	Structured data and consistent facts
Typical outcome	A click	A mention, sometimes a click	An answer, often no click

What this means

• The metric row is where the real difference sits. Everything else is emphasis.
• If your reporting only counts sessions, GEO will look like it is doing nothing while it is working.
• The content-shape row explains why a page can rank at position three and never be cited. Comprehensive and extractable are not the same property.

Google’s own position on the terminology

This is worth quoting because it settles an argument a lot of vendors are profiting from. Google’s developer documentation on optimizing for AI features states that AEO stands for answer engine optimization and GEO for generative engine optimization, and that both are “terms you may see used to describe work specifically focused on improving visibility in AI search experiences.”

Google is describing them as two labels for one activity. It is not describing two disciplines.

I mention this because there is a small industry forming around the claim that GEO and AEO are fundamentally different practices requiring different retainers. In our client work they are the same checklist. Where you see a genuine split is not between GEO and AEO. It is between all of that and classic SEO, and even there the split is smaller than the discourse suggests.

Where SEO and GEO genuinely diverge

Three places, evidenced.

1. Ranking does not reliably convert to citation

Our US B2B ecommerce client is a good example because it has real organic visibility. Across the monitored window it collected 22,885 brand mentions in AI answers but only 4,133 citations, an 18.1% conversion rate. AI assistants were discussing the company constantly while linking to somebody else.

Compare that with two smaller European service brands in the same window:

Brand	Mentions	Citations	Citation rate
uncap.com (US, B2B ecommerce)	22,885	4,133	18.1%
tetto94.it (Italy, roofing)	2,384	1,216	51.0%
rama-abdichtungstechnik.de (Germany, waterproofing)	2,660	1,360	51.1%

The two brands with far less organic authority converted mentions into citations at nearly three times the rate. Their advantage was not domain strength. It was operating in query spaces with thin published content, so the model had fewer alternative sources to reach for.

This is the clearest evidence I have that GEO is not simply SEO with extra steps. If it were, the strongest domain would win.

2. The winning content format is different

We pulled the 25 most-cited domains across the US client’s prompt set and classified what each was cited for.

Content type	Present in top 25 cited domains
Ranked list	19
Topic guide	17
Comparison	3
Case study	2
How-to guide	1

Ranked lists and topic guides account for almost all citations. In classic SEO, a strong case study can rank well and convert brilliantly. In AI answers, case studies were cited twice out of twenty-five.

The mechanism is simple once you see it. A model answering “best X for Y” needs a source that already contains a set of comparable options. A case study about one client does not contain that set, no matter how good it is. We cover this in more depth, with the full engineering framing, in LLM SEO.

3. Off-site signals work differently

SEO rewards links. GEO rewards presence, linked or not.

For our Italian client, four of the top seven cited domains were local directories: prontopro.it, edilnet.it, instapro.it and paginegialle.it. None of those are links the brand built. They are places where the brand’s information exists and is being read as fact.

That changed the strategy. Instead of trying to outrank the directories, we corrected the brand’s data inside them. In classic SEO, a directory listing is a low-value citation you tick off and forget. In GEO it can be the primary path to being described accurately.

Where they are identical, and nobody says so

Four things carry over unchanged, and if you skip them no amount of GEO tactics will save you.

Crawlability. If an agent cannot fetch and parse your page, nothing else matters. Client-side rendered content that only appears after JavaScript execution is a GEO problem exactly as it is an SEO problem.

Topical authority. Models retrieve from pages that already rank for the topic. Every serious analysis of AI Overview sources finds heavy overlap with the organic top 10. Your ranking is your ticket into the retrieval pool.

E-E-A-T. Experience, expertise, authoritativeness and trustworthiness were introduced for human quality raters and turn out to describe exactly what makes a source citable by a machine. Named authors, real credentials, original data, clear sourcing. The reason this article contains a methodology note is the same reason it would need one to rank.

Clear information architecture. Descriptive headings, logical hierarchy, one topic per page. Helps a crawler, helps a retrieval system, helps a reader.

If you are being sold GEO as a wholly separate discipline, ask which of those four the vendor plans to skip. The answer is none of them.

The fourth acronym: AIO

You will see SEO vs GEO vs AEO vs AIO in related searches, so it is worth defining.

AIO is used two different ways, which is why it causes confusion. Some practitioners use it for AI optimization as a catch-all synonym for GEO. Others use it specifically for AI Overview optimization, meaning work targeted at Google’s AI Overviews and AI Mode rather than at chat assistants generally.

The second usage is the more useful one, because Google’s surfaces genuinely behave differently from the chat assistants. In our data, Google AI Overviews produced 416 brand mentions for our US client but only 2 brand citations out of 59 total citations issued, a 3.4% share. ChatGPT, over the same prompt set, issued 292 brand citations. If you treat those two surfaces as one target you will optimise for the wrong outcome.

We cover the Google-specific work in how to rank in AI Overviews.

Which should you fund first

Depends on three variables. Here is how I would decide.

If you have no organic rankings at all: fund SEO first. You cannot be retrieved from a pool you are not in. GEO work on a site with zero topical authority is optimising a page nobody will fetch.

If you rank well but AI answers do not mention you: fund GEO. This is the most common situation for established B2B brands, and it is usually a content-format problem rather than an authority problem. You have comprehensive pages and no extractable ones.

If AI answers mention you but do not link you: fund entity and source work. High mentions with low citations, like our 18.1% example, means the models know who you are and prefer somebody else’s page. Publish the asset they are borrowing from a competitor, and correct your presence in the directories they are citing.

If you sell to a category where buyers use ChatGPT for research: fund both, weighted to whichever surface your data says matters. Do not accept a blended AI visibility score as the basis for that decision. Our brands scored 20% on ChatGPT and 16.8% on AI Overviews in the same week, and the tactics that moved one did not move the other.

The one number that reframes this whole debate

Across 28 tracked topics for our US client, the branded topic returned a 93% mention rate. Mid-intent category topics returned 36%. The highest-intent category topic, “best unified commerce platforms for product distributors,” returned 0%. Twenty-one of the twenty-eight topics returned zero.

That distribution is the honest state of GEO for most brands right now. AI assistants will discuss you at length once they know your name, and will not mention you at all in the conversation where a purchase decision is forming.

Classic SEO has the identical problem, we just gave it a friendlier name: branded versus non-branded traffic. The difference is that in SEO you can see your non-branded impressions in Search Console. In GEO you cannot see anything until you start measuring, which is why so many teams believe they are doing fine — a gap we get into properly in best AEO and AI visibility tools.

Frequently asked questions

Is GEO replacing SEO? No. Every major AI assistant retrieves from the live web, and the pages it retrieves are overwhelmingly pages that already rank. SEO has become the qualifying round for GEO rather than a discipline being replaced by it. What is genuinely changing is the click, not the ranking.

What is GEO in digital marketing? GEO stands for generative engine optimization. It is the practice of getting your brand named and your pages cited inside answers generated by AI systems such as ChatGPT, Perplexity, Gemini and Google AI Overviews. Note that GEO also means geographic targeting in older marketing contexts, which is why you will occasionally see the two confused.

What is GEO in SEO example? A concrete example: your category has a common question like “best B2B ecommerce platforms for distributors.” Today the model answers it by lifting from a competitor’s ranked list. You publish an honest comparison table covering the same options with consistent attributes, self-contained descriptions, and no fluff before the answer. The model now has a better structured source, and cites you.

What is the difference between GEO and AEO? Very little in practice. GEO emphasises the generative system doing the answering, AEO emphasises the answer format being produced. Google’s own documentation treats both as labels for work focused on visibility in AI search experiences. If a vendor sells them as separate retainers, ask what is on each checklist and compare.

What are the 4 types of SEO? Conventionally: on-page, off-page, technical and local. Some practitioners now add a fifth, AI search or generative, though as this article argues it draws heavily on the existing four rather than replacing them.

Do I need separate GEO and SEO agencies? No, and separating them usually hurts. The two share crawlability, topical authority, E-E-A-T and information architecture. Splitting the work across vendors means duplicating the foundation and arguing about who owns the content brief.

What I actually think

I have written a version of this comparison for three different clients now, and each time the useful part turned out to be the same and it was not the table.

The useful part is this: pick twenty questions your buyers genuinely ask, run them through ChatGPT and Perplexity, and write down what comes back. Not your branded questions. The ones where somebody is deciding between options and has not heard of you yet.

Most teams do that exercise and find they are not in the answer at all, and that the sources being cited instead of them are a directory, a Reddit thread from 2024, and one competitor’s comparison page. At that point the GEO versus SEO debate stops being interesting, because the work is obvious and it is the same work either way. Publish the better version of the thing being cited, make sure the machine can read it, and get your name spelled consistently everywhere it appears. If you’d rather have that done for you, that is the whole job behind our generative engine optimization work.

The acronyms are a distraction. The gap between what the model says about your category and what you have published is not.