QBiz Leads AI

AEO vs GEO vs SEO: What the Acronyms Actually Mean (and Which to Care About)

Summary

SEO, AEO and GEO are really two jobs, not three. SEO gets your website into the list of blue links. AEO (Answer Engine Optimisation) gets your business named inside an AI-written answer from ChatGPT, Google's AI Overviews, Perplexity or Copilot. GEO (Generative Engine Optimisation) is the academic name for the same job as AEO, so there is no separate service to buy. The two jobs stack rather than compete: AEO sits on a base of decent SEO, because AI tools read the same well-structured, well-reviewed web that good SEO produces. Fix findability and readability first, then add the answer-engine layer, and ignore any vendor selling GEO and AEO as different products.

TL;DR

  • Three acronyms, two jobs. SEO wins a place in the link list; AEO/GEO win a place inside the AI answer.
  • GEO = AEO. GEO is the research term (coined in a 2023 KDD paper), AEO the small-business one. Same underlying work.
  • They stack, they do not compete. AEO rests on an SEO foundation, so a site ordinary search cannot find is usually invisible to AI too.
  • A No.1 Google ranking is no promise of an AI mention. Closing that gap is the job AEO was named for.
  • Score each page out of five: quotable facts, one clear question answered, consistent details everywhere, genuine off-site presence, and readable as plain text.

Open any marketing newsletter this year and someone is telling you that SEO is dead, AEO is the future, and GEO is the thing you really should have started six months ago. Each acronym comes with its own confident definition, and plenty of those definitions contradict each other.

It is enough to make a busy owner close the tab. You run a business: a dental practice, a roofing firm, a recruitment agency. You do not have time to learn a new acronym every quarter, and you certainly do not want to pay an agency for a service you cannot tell apart from the last one.

This guide pulls the three apart in plain English, with no vendor angle: what each one means, where they overlap, where they genuinely differ, and a simple way to decide which deserves your attention first. There is a decision tree near the end and a five-point checklist you can hold your own website up against today.

If you want the ground-level definition of Answer Engine Optimisation before you compare it to anything, our plain-English guide to what AEO is covers that from scratch. This page is the comparison.

The one-line version

If you read nothing else, read this:

You are really dealing with two jobs, not three, and they sit on top of each other rather than replacing one another. The rest of this guide shows where the nuances hide and what to do about them.

SEO: getting into the list of links

Search Engine Optimisation is the oldest and best understood of the three. It arranges your website and its reputation so that search engines like Google rank it highly for the things people search.

You almost certainly know the shape of it even if you have never paid for it:

The aim of all of it is a single outcome: when someone searches, your page appears high in the list of blue links, ideally in the top few, because almost nobody scrolls to the second page.

SEO is not going anywhere. People still run enormous numbers of ordinary searches, and Google has said its newer AI features are driving over a 10% increase in usage for the kinds of queries that show them (Google, AI in Search, May 2025)[2]. The list of links has not vanished. It has just gained a new neighbour at the top of the page, and that neighbour is where the next two acronyms come in. (If you are worried SEO has stopped working entirely, our piece on whether SEO is dead is the fuller answer.)

AEO: getting named inside the answer

Answer Engine Optimisation is the newer job. The label covers the crop of tools that write you a reply rather than list links for you to pick through, ChatGPT and Perplexity among them, alongside Google's AI Overviews and AI Mode, Microsoft Copilot and Gemini. The aim of AEO is simple: when a tool fields your customer's question, your business is in the reply.

The difference from SEO is not cosmetic. With SEO you are competing for a position in a list the customer then chooses from. With AEO there may be no list to climb at all: the customer asks "who's a good family solicitor in Cardiff?", reads a three-sentence reply naming two firms, and acts on it. If you are one of the two names, the phone rings. If you are sitting at position four in the blue links underneath, a large share of those people never see you.

We go deep on the mechanics, the playbook and the SEO-versus-AEO comparison table in the AEO explainer, so this guide will not repeat them. The single thing worth taking away is the one owners keep overlooking: a first-place Google ranking no longer buys you a place in an AI answer on the same topic. The two are now separate jobs with separate winners, which is exactly why AEO exists as its own discipline rather than as a footnote to SEO. You can trace the numbers behind that divide through why a No.1 Google ranking means nothing in ChatGPT.

GEO: the same job, a different surname

This is where the confusion peaks, so let us settle it directly. Generative Engine Optimisation (GEO) and Answer Engine Optimisation (AEO) describe the same job. Both mean getting your content cited or your business named inside the answers AI tools generate. The difference is mostly who is speaking.

The term GEO comes from academia. In late 2023 a group of researchers published a paper, accepted to the KDD 2024 conference, that coined "Generative Engine Optimization" as a formal name for optimising content to show up in what they called "generative engines": their umbrella term for tools like ChatGPT, Perplexity and Google's AI features that synthesise an answer from multiple sources rather than listing links (Aggarwal et al., GEO: Generative Engine Optimization, KDD 2024)[1].

That paper matters for one practical reason beyond the name. It is one of the few pieces of genuinely independent research showing that this work pays off. The researchers built a 10,000-query benchmark across many domains and tested whether deliberate optimisation actually changed how often a page appeared in AI answers. It did: their methods boosted a page's visibility in generative-engine responses by up to 40%, though they were careful to note that the effect "varies across domains", so no single tactic wins everywhere (Aggarwal et al., KDD 2024)[1].

So why two names for one job? Largely habit and marketing. "Answer engine" is the more intuitive phrase for a business owner, so agencies aimed at small businesses tend to say AEO. "Generative engine" is the academically precise phrase, so research-led and enterprise marketers tend to say GEO. Some vendors push one term over the other partly to stake out their own brand of it. None of that changes the underlying work.

A few other labels float around the same idea: "AI search optimisation", "LLM optimisation", "AI visibility". Treat them all as pointing at the same goal. When someone tries to sell you GEO as a distinct, more advanced service than AEO, ask them to name one concrete thing it includes that AEO does not. In almost every case they cannot, because there isn't one.

So is it two jobs or three?

Two. Despite the three sets of letters, you are dealing with two distinct pieces of work that stack:

  1. SEO, the foundation: be findable and rank in ordinary search.
  2. AEO / GEO, the layer on top: be named and cited inside AI answers.

They are not rivals, and you do not pick one. AEO sits on a base of decent SEO, because most AI tools still read and trust the same well-structured, well-reviewed, clearly-written web that good SEO produces. A site that is invisible to ordinary search is usually invisible to AI as well. Get the foundation right, then add the layer.

The table below sets the two side by side.

Which should you care about first? A simple decision tree

You have limited time and budget. Here is how to decide where it goes, in order. Work down the list and stop at the first point that describes you.

1. Is your website findable in ordinary Google search at all?

Search for your business name and a couple of your main services. If you cannot find yourself on the first page even by name, your SEO foundation is broken, and no amount of AEO will rescue you because the AI tools read the same web. Fix SEO basics first: a crawlable site, real pages for each service and area, a claimed Google Business Profile. Then come back to this list.

2. Can AI tools actually read your website?

Some builders and template themes render their text only in the browser, so an AI crawler that does not run scripts sees almost nothing. This quietly cancels out everything else. You can test whether this is happening to your own site using the self-check in our JavaScript guide. If this is you, fix it before anything else, because it blocks both jobs at once.

3. Do you rank reasonably on Google but never appear in AI answers?

Ask a real customer's questions across ChatGPT, Google's AI Mode and Perplexity. If rivals keep getting named and you never do, your SEO is doing its job but your AEO layer is missing. This is where AEO/GEO work earns its keep: reviews, consistent listings, plain service and area pages, genuine off-site presence. Our complete guide to AEO for local businesses walks through each of these in order.

4. Do you appear in some AI answers but inconsistently?

You are in good shape and the remaining work is refinement: more recent reviews, broader off-site mentions, tighter facts across the web, and content that answers the smaller sub-questions around what you do. This is steady upkeep rather than a rescue job.

The pattern is consistent: SEO and readability are gates you pass through first, then AEO/GEO is the layer that wins the answer. Nobody sensibly does AEO on a site that ordinary search cannot find.

The five-point checklist any page can be measured against

Forget the acronyms for a moment. Whichever label an agency uses, good work in this space comes down to a handful of things you can check on your own pages right now. Hold any important page on your site up against these five points and score it fairly.

1. Does the page state plain, quotable facts?

AI answers are built by lifting clear statements out of pages. "We offer same-day emergency callouts across Leeds for £85" is quotable. "Driven by a passion for excellence" is not. Read each page and ask: if an AI wanted to recommend us, what exact sentence could it lift? If you cannot find one, rewrite until you can. The independent GEO research found that adding concrete material like cited sources, quotations and relevant statistics was among the more effective ways to lift a page's visibility in AI answers (Aggarwal et al., KDD 2024)[1].

2. Does the page answer one specific question, not ten vaguely?

One catch-all "Services" page tries to cover every service in every town and ends up answering none of the questions people actually ask. Each important service and each area you cover deserves its own page, named the way a customer would say it ("emergency boiler repair", not "thermal solutions"). One page, one clear question answered well.

3. Are your core facts identical everywhere this page's business appears?

Your name, address, phone number and main services should match exactly across your website, Google Business Profile, directories and listings. Contradictory details (an old number here, a slightly different name there) make every engine less confident about who you are, and a less-confident engine names you less often. It is unglamorous admin that nonetheless tips a lot of decisions.

4. Is the business genuinely present off-site, not just on this page?

AI reads the whole web about you, not only your own site. Check that the business is accurately listed on the directories and professional bodies that matter in its trade, has recent reviews on the platforms customers actually use, and turns up in genuine community discussion where relevant. A perfect page on an otherwise invisible business still loses.

5. Can a machine actually read the page as text?

If the important content only appears after a script runs, or is locked inside an image, some AI crawlers never see it. View the page with JavaScript disabled, or run it through the self-check in our JavaScript guide, and confirm your real words are present as text.

Score each page out of five. Most small-business pages start at one or two. Getting an important page to four or five is the practical meaning of "doing AEO", whatever acronym the invoice uses.

Common mistakes and misunderstandings

Frequently asked questions

What is the difference between AEO and SEO?

SEO is the contest for a spot in the list of links. AEO is about getting named in the answer itself, where frequently there is no list to climb. The two overlap, since good SEO feeds your AEO, but they remain separate jobs, and coming first on Google is no guarantee of an AI mention. The full comparison, with examples, is in our AEO explainer.

Is GEO different from AEO?

Not in practice. Generative Engine Optimisation (GEO) is the academic name, coined in a 2023 research paper, for the same goal as Answer Engine Optimisation: showing up in AI-generated answers. AEO is the more common term in small-business marketing, GEO in research and enterprise circles. The underlying work is the same.

Which one should a small business focus on?

Both, in order. Get your SEO foundation and site readability right first, because AI tools read the same web ordinary search does. Then add the AEO/GEO layer: reviews, consistent listings, plain service pages and off-site presence. The decision tree above walks through exactly where to start based on your situation.

Is SEO dead now that AI answers exist?

No. Search usage is growing, not shrinking, with Google reporting over a 10% increase in usage for the query types that show AI features (Google, May 2025)[2]. The list of links still matters; AEO is an addition to SEO, not a replacement. See is SEO dead for the longer answer.

Does any of this actually work, or is it marketing hype?

Independent academic research found that deliberate optimisation lifted a page's visibility in AI answers by up to 40%, though the effect varied by domain (Aggarwal et al., KDD 2024)[1]. It is a real, measurable discipline, not just an agency pitch, but the gains depend on doing the genuine work rather than buying a label.

There are even more acronyms (LLMO, AI search optimisation). Do they matter?

They are largely different labels for one goal: being inside the AI's answer. Focus on the work, not the proliferating labels. If someone introduces a new acronym, ask what concrete action it adds that the work above does not.

If I only have time for one, which should I do first?

Start with whichever gate you are failing. Search for your business by name and main services: if you cannot find yourself on the first page, fix the SEO foundation first, because AI tools read the same web. If you rank fine but never appear in AI answers, the SEO is working and the AEO layer is what is missing. The decision tree above walks through this in order, so you do not spend on the answer-engine layer while the foundation is broken.

Do the same tactics work for ChatGPT, Perplexity and Google AI Overviews?

Mostly, because they all reward the same core signals: clear quotable facts, consistent details across the web, genuine reviews and off-site mentions. The differences are at the edges, since each engine draws on a slightly different mix of sources and weights them its own way. That is why the sensible approach is to build the durable signals every engine reads rather than chase one engine's quirks, and to test your results in all three rather than assuming one stands for the rest.

Is GEO a more advanced or premium version of AEO?

No. Some vendors present GEO as a higher tier to justify a higher price, but it is the same job under a different name. The test is simple: ask them to name one concrete action their GEO service includes that their AEO service does not. In almost every case they cannot, because there is nothing extra there. Pay for the work described in the five-point checklist, not the label on the invoice.

Will an AI tool actually read my website?

Yes, provided the text lives in the page itself and is not assembled by JavaScript first. Some builders and template themes hold the text back until a browser script fires, and since several AI crawlers never run it, they meet a near-blank page. View your page with JavaScript disabled, or use the self-check in our JavaScript guide, and confirm your real words are there. This is the readability gate that blocks both jobs at once, so it is worth clearing before anything else.

Where to start

If the acronyms have been holding you back, here is the way through. You are dealing with two jobs, not three: get found in ordinary search and make sure AI can read you (SEO and readability), then get named inside AI answers (AEO, which is the same thing as GEO). Run your most important pages through the five-point checklist, fix the lowest scores first, and ignore any vendor trying to sell GEO and AEO as separate products.

If you would rather see where you stand before changing anything, a free QBiz Leads AI visibility check scans your website in about thirty seconds and returns a clear pass or fail on the key signals that decide whether AI tools can find and recommend your business. It is the sensible starting point before you spend a penny on anything labelled with three letters.

Get your AI Visibility audit →

Sources

  • [1] Aggarwal, Murahari, Rajpurohit, Kalyan, Deshpande, Narasimhan et al., "GEO: Generative Engine Optimization," accepted to KDD 2024, arXiv:2311.09735: https://arxiv.org/abs/2311.09735 (independent academic research; coined the term GEO; built a 10,000-query GEO-bench benchmark; deliberate optimisation boosted page visibility in generative-engine responses by up to 40%, with efficacy varying across domains)
  • [2] Google, "AI in Search: Going beyond information to intelligence," 20 May 2025: https://blog.google/products/search/google-search-ai-mode-update/ (primary; AI Overviews driving over a 10% increase in usage for the query types that show them, evidence that search is growing rather than dying)

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