AI SEO vs GEO vs AEO: What's the Difference?
AI SEO, GEO and AEO explained side by side — what each one targets, how they overlap, and which discipline your business actually needs first.
Kevin Urrea
30 July 2026 3 min read
TL;DR
AI SEO, GEO and AEO are three overlapping disciplines with one shared goal: being found when people search using AI. AI SEO is the broadest — optimising a site to rank in Google and be surfaced in AI-generated results at the same time. GEO, generative engine optimisation, targets generative engines specifically: ChatGPT, Gemini, Perplexity and Claude, where the output is a written answer rather than a list of links, and success means being named inside that answer. AEO, answer engine optimisation, targets direct-answer surfaces such as Google's AI Overviews, featured snippets and voice assistants, where a single concise answer is extracted and displayed. In practice their technical foundations overlap heavily: clean schema, unambiguous entity data, and passages written to be quoted. What differs is the surface you measure and the format your content must fit. Most Australian businesses need AI SEO as the base and GEO where competitors already own the answer.
Three acronyms describe overlapping work, and the overlap is why proposals are confusing. This is what each one actually targets, where they genuinely differ, and how to decide which you need first.
What is AI SEO?
AI SEO is the broadest of the three: optimising a website so it ranks in conventional Google results and gets surfaced in AI-generated results at the same time. It keeps everything traditional SEO does — technical health, content quality, authority — and adds the requirement that machines can parse and trust what they find.
It is the sensible base layer because it does not force a bet on which surface wins. Our AI SEO service is built on that premise: the same foundations serve a ranked link and a generated answer.
What is GEO?
GEO — generative engine optimisation — targets generative engines specifically: ChatGPT, Gemini, Perplexity and Claude. On these surfaces the output is a written answer, not a list of links, and success means being named inside that answer.
That changes what "winning" looks like. There is no position one. There is a paragraph that either mentions your business or mentions a competitor. The work concentrates on entity clarity — making it unambiguous who you are, what you do and where — and on producing passages an engine can lift verbatim with confidence.
What is AEO?
AEO — answer engine optimisation — targets direct-answer surfaces: Google's AI Overviews, featured snippets and voice assistants. Here a single concise answer is extracted and displayed, often without a click.
AEO is the most format-sensitive of the three. A question posed as a heading, answered directly in the next two sentences, in under about sixty words, is far more extractable than the same information buried in paragraph four. Google's decision to retire FAQ rich results changed the tactics here but not the principle.
The three side by side
| AI SEO | GEO | AEO | |
|---|---|---|---|
| Primary surface | Google results plus AI surfacing | ChatGPT, Gemini, Perplexity, Claude | AI Overviews, featured snippets, voice |
| Output format | Ranked links | A written answer naming brands | One extracted answer |
| What success means | Position and inclusion | Being named in the answer | Being the extracted source |
| Main lever | Technical health, authority, content | Entity clarity and citable passages | Question-shaped, concise formatting |
| How you measure it | Rankings, traffic, impressions | Citation and mention share | Answer presence and extraction |
Read the bottom row carefully — it is where most confusion lives. The three disciplines share most of their inputs and differ mainly in what you can legitimately measure.
Where they overlap, and where the money goes
The technical foundations are close to identical: clean schema, consistent business information, unambiguous entity data, and content that answers questions directly. Roughly speaking, most of a first engagement's effort goes into that shared base regardless of which acronym is on the invoice.
What genuinely differs is measurement and format. That shared foundation is also the ground covered by algorithmic signal engineering, and the market-level dynamics — why the same content performs differently in competitive versus emerging markets — are set out in our longer piece on how AI search, AEO and GEO are reshaping digital growth.
Which one does your business need?
Sequence rather than buy everything at once.
- Start with AI SEO if your fundamentals are unproven. It covers both surfaces and nothing is wasted.
- Prioritise GEO if buyers in your category ask an AI assistant for recommendations before contacting anyone, and a competitor is currently the name it gives.
- Treat AEO as a layer, not a separate program — it is largely a discipline of formatting what you already publish so it can be extracted.
The honest answer for most Australian businesses is AI SEO as the base, GEO where the category is already contested. If you want to know which applies to you, get a free AI audit and we will show you which surfaces name your competitors instead of you.
Frequently asked questions
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What is the difference between GEO and AEO?
GEO targets generative engines that write a full answer — ChatGPT, Gemini, Perplexity, Claude — where success is being named inside that answer. AEO targets direct-answer surfaces such as AI Overviews, featured snippets and voice assistants, where one concise extract is displayed. The underlying structural work overlaps; the surface you measure differs.
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Is AI SEO just SEO with a new name?
No, though the foundations are shared. Traditional SEO optimises for position in a ranked list of links. AI SEO adds the work of being understood, trusted and cited by AI systems: machine-readable entity data, demonstrable expertise, and direct answers written to be quoted rather than merely to rank.
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Which should my business do first, GEO or AEO?
Start with whichever surface your customers actually use. If buyers ask ChatGPT for recommendations before contacting anyone, prioritise GEO. If they search Google and read the AI Overview without clicking, prioritise AEO. Both rest on the same schema and entity foundation, so the first months of work look similar either way.
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Do I need all three disciplines at once?
Rarely. AI SEO is the sensible base because it covers both classic rankings and AI surfacing. Add GEO when competitors already own the generated answer in your category, and treat AEO as the layer that makes your content extractable. Sequencing beats buying everything simultaneously.
Kevin Urrea
Systems Engineer & LLMs
Architects the technical systems that make businesses machine-readable — LLM retrieval-layer engineering and Knowledge Graph construction.
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