What does AEO stand for?

AEO stands for Answer Engine Optimisation. It refers to structuring your content and online presence so that answer engines like Perplexity and Google AI Overviews can find, read, and cite you when someone asks a question in your field. The goal is to be inside the synthesised answer, not ranked above it.

What does GEO stand for?

GEO stands for Generative Engine Optimisation. It refers to building your online presence so that generative AI models, the kind that construct responses from their training data and indexed knowledge rather than live retrieval, have an accurate, consistent picture of who you are and what you do. ChatGPT and Claude are the main examples. When someone asks them who to hire for a specific type of work, they draw on the picture they already have of you, not a live read of your website.

What's the difference between AEO and GEO?

AEO is a retrieval problem. GEO is a knowledge problem. Answer engines like Perplexity and Google AI Overviews retrieve content in real time, read your page, and decide whether to quote it. Improving the page can change the outcome of the next retrieval. Generative models like ChatGPT and Claude draw on the picture they have already built of you from training data, indexed sources, and public mentions. That picture updates more slowly and responds to different inputs: entity consistency across your website, LinkedIn, directories, interviews, and third-party citations. Both matter for service businesses. They just require different work.

What's the difference between SEO and AEO?

SEO optimises for ranking position in a list of links. AEO optimises for being quoted inside a synthesised answer. You can rank first on Google and still never be cited in an AI answer. Citation visibility and ranking visibility overlap heavily, but they are not identical. They measure different things and respond to somewhat different inputs.

Is AEO and GEO relevant if my business runs mostly on referrals?

Yes, because referral clients now often validate the referral with an AI search before they reach out. They'll ask ChatGPT whether you're the right person, what you're known for, or whether there's someone better for their situation. That question hits both AEO and GEO layers: Perplexity might pull your page, ChatGPT draws on its existing picture of you. If neither gives a clear answer, the engine fills the gap with someone else, and the referral quietly goes cold.

Do I need to stop doing SEO and start doing AEO and GEO instead?

No. The authority and credibility signals that make you trustworthy to Google also help AI engines trust and cite you. The structural differences matter, particularly around how your content is written, organised, and distributed across the web. But AEO and GEO are additions and reorientations, not replacements. A strong SEO foundation makes the AEO and GEO work easier.

How do I know if AI engines are already recommending me?

The fastest way is to ask directly. Open ChatGPT or Perplexity and search for the service you provide, the way a potential client would phrase it: 'best [role] for [type of business]' or 'who should I hire to help with [problem].' Note whether you appear, what the engine says about you, and whether the description matches how you actually want to be positioned. For a more structured picture, a citeability audit maps where you appear across engines, where competitors are getting cited instead of you, and what the current understanding of you actually is.

Does this apply if I don't have much content published yet?

It applies, and the gap is fixable faster than you might think. None of SEO, AEO, or GEO requires volume. They require clarity. A small number of well-structured, direct, credible pages outperform a large archive of vague or outdated content. If you have a clear services page, a genuine about page, and one or two pieces that answer real client questions directly, you have enough to start becoming citable. The work is making what you already have quotable and consistent, not producing more of the same.

What's the Difference Between SEO, AEO, and GEO?

For a long time, search optimisation had one job: get you to the top of a list. The list was ten blue links. The goal was page one, position one. Everything else was tactics in service of that position.

The list is still there. It just no longer describes the full picture of how clients find and shortlist service providers.

Search visibility has fractured into three layers. Some clients are still using Google the traditional way. Some are asking ChatGPT who to hire and reading a synthesised recommendation with two or three names and reasons attached. Others are using Perplexity or Google AI Overviews, which retrieve content in real time and quote from it directly. Each layer works differently, holds a different picture of you, and responds to different inputs.

SEO, AEO, and GEO are the names for those three layers. What each one is, how they differ, and what they actually ask of you is now a practical operating decision for any service business, not a technical one.

What’s the difference between SEO, AEO, and GEO?

SEO (Search Engine Optimisation) gets you ranked in Google’s list of links. The unit of success is position: page one, near the top. AEO (Answer Engine Optimisation) gets you cited inside a synthesised answer in engines that retrieve and read pages in real time, like Perplexity and Google AI Overviews. The unit of success is a citation, being inside the answer rather than ranked above it. GEO (Generative Engine Optimisation) gets you embedded in the picture a generative model has already built of you from training data and public mentions, the kind ChatGPT and Grok draw on when someone asks who to hire. The unit of success is being named with an accurate description. SEO’s main lever is keywords and links. AEO’s lever is quotable page structure. GEO’s lever is entity consistency across the web. For service businesses, all three now matter, and they respond to different work.

	SEO	AEO	GEO
Full name	Search Engine Optimisation	Answer Engine Optimisation	Generative Engine Optimisation
What it optimises for	Ranking in a list of links	Citation inside a synthesised answer	An accurate picture of you in the model’s knowledge
Where the result appears	Google search results	Perplexity, Google AI Overviews	ChatGPT, Grok, Gemini knowledge-based answers
Unit of success	Rank position	A real-time citation	Being named, with a description that matches you
Main lever	Keywords, links, page authority	Quotable, well-structured pages	Entity consistency across every public source
Who it serves	Clients still searching the traditional way	Potential clients asking a live question and reading a cited answer	Potential clients asking an AI who to hire and trusting what it already knows

What do SEO, AEO, and GEO actually mean?

SEO (Search Engine Optimisation) is the practice of improving your visibility in traditional search engine results: Google’s ranked list of links, primarily. The goal is position. When someone types a query into Google, SEO determines whether your page appears near the top of the results.

AEO (Answer Engine Optimisation) is the practice of making yourself the source an answer engine cites when someone asks a question in your field. The engines doing this are Perplexity, Google AI Overviews, and similar tools that retrieve content in real time and synthesise a direct response. AEO is about being inside the answer, not ranked above it.

GEO (Generative Engine Optimisation) is the practice of building your presence so that generative AI models have an accurate, consistent picture of who you are and what you do. The engines in this category are ChatGPT and Claude when they respond without real-time search, Gemini’s knowledge-based responses, and similar tools. Unlike AEO engines, these models aren’t reading your website at the moment someone asks a question. They’re drawing on the picture they’ve already built from training data, indexed sources, and public mentions.

The distinction that matters in practice: AEO is about what happens when an engine reads your page right now and decides whether to cite it. GEO is about what picture of you the model has already formed from everything it has ever indexed, trained on, or seen. Both matter for service businesses. They respond to related but different inputs.

How is AEO different from SEO?

The differences are real, but narrower than the internet sometimes makes them sound.

What stays the same: credibility signals, authoritative content, being recognised as a legitimate source. These transfer almost entirely. An engine that trusts you enough to cite you in an answer draws on many of the same trust indicators Google uses to rank you. A strong, clear, credible web presence helps both.

What changes: the goal shifts from ranking position to quotability. Search engines surfaced your page and let the user decide whether to read it. Answer engines read your page themselves and decide whether to quote it. They’re looking for different things when they do that.

Specifically, they’re looking for:

Clarity of claim. Can the engine tell, without ambiguity, what you do and who for? Vague positioning is penalised much more heavily in AEO than in SEO, because the engine has to summarise you in a sentence or two. If your page doesn’t give it one, it won’t construct one on your behalf.

Quotable structure. The engine needs to lift a self-contained answer from your page. A wall of prose that buries the answer in the third paragraph doesn’t give it much. A well-structured response to a real question, with the answer near the top and the reasoning following, gives it exactly what it needs.

Consistency across sources. If your website says one thing, your LinkedIn another, and your directory listings a third, the engine faces a contradictory picture and defaults to someone clearer. SEO cared less about cross-source consistency than AEO does.

How is GEO different from AEO?

AEO is a retrieval problem. GEO is a knowledge problem.

When Perplexity or Google AI Overviews constructs a response, it retrieves content in real time, reads your page, and decides whether to quote it. The quality of that page, right now, determines the outcome. Improve the page and the next retrieval can be different.

When someone asks ChatGPT or Claude who to hire for a specific type of work, the model isn’t reading your website at that moment. It’s drawing on the picture it has already built of you: from training data, indexed sources, publicly cited mentions, and the general pattern of how you appear across the web. That picture updates as models retrain or ingest new sources, but the cycle is slower and less direct than a page crawl.

What this means in practice:

For AEO: structure your pages so the answer is near the top, the heading signals what question the section answers, and each answer can stand alone as a quotable extract. Make your FAQ block genuine questions with clean, liftable answers. This is work you can do this week and see reflected in Perplexity citations relatively quickly.

For GEO: focus on entity consistency and presence volume. Is what ChatGPT knows about you accurate? Does it describe your current positioning or a version of you from two years ago? Are you mentioned, cited, or referenced in enough places that the model has a coherent picture? Your LinkedIn profile, about page, published interviews, guest posts, podcast appearances, and third-party mentions all contribute to the entity the model has built for you. Improving GEO is a slower build, because you’re accumulating consistent signal across the web rather than optimising a single extraction point.

Why do all three matter for service businesses?

E-commerce and content sites feel this shift differently. They have product listings, pricing pages, and review aggregators that give engines plenty of structured material to parse. And their clients are often choosing a product, not a person.

Service businesses are sold on expertise and trust. Clients are choosing a person, or a small team built around one, not a commodity. That decision now often starts with a question to an AI: who is the right person for this? What should I be looking for? Is this person reputable?

That question might go to Google (SEO), Perplexity (AEO), or ChatGPT (GEO). Often it goes to more than one. A potential client who heard your name from a referral might validate you across all three before they reach out.

If your presence is strong on one layer and weak on another, you’re losing ground at a specific point in the client journey. The founder who ranks on Google but isn’t in the ChatGPT answer is visible but not recommended. The founder who shows up in Perplexity but whose entity is inconsistent across the web gets cited with a description that doesn’t match their current positioning. Each gap has a cost. Each responds to different work.

For founder-led businesses specifically, the risk compounds across all three layers. The expertise lives in the founder, and founders are rarely in the habit of making their knowledge publicly structured and quotable. Their best thinking is in private client work. Their public presence is often vague at the level of positioning, pitched at a generality that made sense for traditional SEO but doesn’t give an AI engine enough to summarise, cite, or build a coherent picture from.

Map a real one across the three layers and it gets concrete. Andre Obradovic is a men’s health coach whose website was already strong on the SEO layer: it ranked, and it converted the people who landed on it. AEO and GEO were where he disappeared. Ask Perplexity or Google AI Overviews who to hire and his page never made the cited answer. Ask ChatGPT or Grok and there was no clear picture of him to draw on. Roughly six weeks of citeability work later, with nothing changed about his coaching, all four engines name him when potential clients ask, ahead of the field in most. And they name him as himself, a credentialed ICF and Primal Health coach, not the beige composite that a fresh website design or a pile of generic content would have produced. The numbers moved with the legibility: page views climbed by just over half, and email enquiries doubled month to month (GA4, May into June). Same coach, same expertise. What changed was how readable he was to the machines doing the recommending. The full case study walks through exactly what moved.

What still transfers from SEO to AEO and GEO?

More than you’d expect.

If you’ve done good content work, your domain has credibility. If you’ve published consistently on a specific topic, you have a body of work engines can pattern-match. If you’ve built authority in a category, the models have seen you enough times to form a picture. None of that is wasted.

The adjustments that matter:

Re-examine how your key pages are written. The old approach was to write for a reader skimming before they clicked. The new one is to write for an engine reading before it decides to cite. That shifts the weight toward direct answers, clear claims, and well-labelled sections that signal what question each one answers. How AI search broke the old SEO rules walks through why that shift works in your favour.

Audit your consistency. Every profile, directory listing, and bio page is an entity signal. If they don’t agree with each other, or with your current positioning, you’re harder to summarise. This matters for GEO especially: an inconsistent entity picture is one the model will average, and the average is usually behind the current reality.

Make your FAQ genuine. Write the questions clients actually type and answer each one in a clean, self-contained paragraph. This is the most direct AEO input you have. Answer engines are specifically built to pull from well-structured Q&A. Write the real questions, including the uncomfortable ones about cost, timelines, and what you’re not right for.

What does none of this fix on its own?

Getting cited in an AI answer is the first half of the win. Getting cited as yourself, in your own voice, as the specific person who does this specific thing in a recognisable way, is the second.

Generic visibility across all three layers just makes you findable. It doesn’t make you memorable or trustworthy in the way that actually moves a decision. If the engine cites you but quotes a beige paraphrase that could be anyone, you’re in the answer and still not getting the client.

This is also where most of the advice sends you down the wrong road. Redesigning the website is the reflex of anyone coming at this from a web-design angle, but a redesign fixes how the page converts, not whether an engine can read what you do. And publishing more generic content compounds an unclear signal rather than clearing it. You give the model more noise to average, not a sharper picture. What actually shifts the AEO and GEO layers is entity work and voice work: making your name, claims, and credentials consistent and verifiable across the web, and making the language unmistakably yours so the engine quotes you instead of a paraphrase. The stakes are worth naming, too. For a coach or consultant, one closed client is worth far more than a bump in traffic, so being the name the engine hands over is the outcome that pays for itself, not the page views.

That’s where brand voice and citeability become the same job. More on that in Get cited as yourself.

Knowing the difference between SEO, AEO, and GEO is the easy part. Knowing which of the three you’re actually losing on is the part worth paying for. The $197 Citeability Snapshot shows you what the engines say about you now, which layer is leaking, and where competitors are getting cited instead of you. It also credits in full toward the AI Visibility Audit if you decide to fix the whole picture.

Find out which layer you’re losing on.