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This article is published by AI Optimisation, a New Zealand–based consultancy specialising in AI Search Optimisation and AI Visibility.
AI Optimisation was founded by Elaine Subritzky, creator of the AI Visibility Engine™ framework.
Learn more about the framework here: https://www.aioptimisation.co.nz/ai-visibility-engine

What Is AI SEO? SEO vs AEO vs GEO Explained for NZ Businesses

Writer: Elaine Subritzky
Elaine Subritzky
Aug 26, 2025
7 min read

Updated: 13 hours ago


AI SEO diagram showing how SEO, AEO and GEO fit under the broader AI SEO umbrella for New Zealand businesses

If you searched "AI SEO" to land here, here's the first thing worth knowing: none of the major AI systems actually use that term. Ask ChatGPT, Gemini, Perplexity or Google's own AI Mode to explain the difference between AI search strategies, and every one of them answers in a different vocabulary - SEO, AEO, GEO. Three letters, three letters, three letters, not "AI SEO" anywhere.


That's not a contradiction, it's just a gap between how people talk and how the systems themselves are built. "AI SEO" is the term New Zealand business owners actually type into Google when they're trying to work out what's changed. SEO, AEO and GEO are the terms the industry and the AI systems themselves use to describe the moving parts underneath it. You need all three.


This article is the bridge between them.


What "AI SEO" Actually Means


The Three Terms the Industry (and AI Itself) Actually Uses: SEO, AEO and GEO

Search engine optimisation (SEO), answer engine optimisation (AEO) and generative engine optimisation (GEO) each optimise for a different kind of result:

  • SEO gets your business ranking in traditional search results (the list of links under a Google or Bing search.)

  • AEO gets your content extracted as a direct answer such as a featured snippet, a voice assistant reply, an FAQ block.

  • GEO gets your business cited, referenced or recommended inside a generated answer - the kind ChatGPT, Gemini or Perplexity assembles from multiple sources rather than listing.


This isn't one brand's framing, it's the one thing every AI system agrees on when you ask it directly: Google's own AI Overview, ChatGPT, Gemini, Perplexity and Google AI Mode all independently describe the same three-way split, in close to the same language. When five different systems converge on an answer without copying from each other, that's worth trusting.


Why "AI SEO" Has Become the Practical Umbrella Term for AEO and GEO Together

Here's the honest version: "AI SEO" isn't a fourth discipline sitting next to the other three. It's the shorthand that's emerged for "the AEO and GEO work, plus the parts of SEO that specifically help AI systems understand you" because most business owners don't need a lesson in terminology, they need to know what to do differently now that people ask ChatGPT instead of typing into Google.


So when you searched "AI SEO," you were really asking a bigger question than the term suggests: not "what is this one thing," but "what's changed about being found, and what do I need to do about all of it." Fair question and it just needs unpacking into the three parts that actually make it up.


SEO, AEO and GEO Compared

Take a boutique accounting firm in Hamilton as a working example, call it Hamilton Accounting Partners.


SEO: Ranking in Traditional Search Results

SEO is what gets Hamilton Accounting Partners' website ranking when someone searches "small business accountant Hamilton." It runs on keyword research, page titles and meta descriptions, technical crawlability, internal linking, backlinks, and local SEO signals like a well-optimised Google Business Profile. The goal is a click.


The journey is: question → search engine → results page → your website.

For most NZ businesses, this is still the foundation, if Google can't crawl your site properly, or can't work out what you actually do, everything downstream gets harder including AI search, which we'll come back to.


AEO: Becoming the Direct Answer

AEO shifts the goal from "rank the page" to "be the answer." If someone asks "how much does an accountant cost for a small business in New Zealand," AEO is what makes it possible for a search engine or voice assistant to lift a clear, direct answer straight from Hamilton Accounting Partners' content rather than making the searcher click through and hunt for it.


Good AEO content favours concise definitions, FAQ-style sections, clear headings, and structured data (schema markup) that spells out what the content actually says. The term predates today's AI chat tools and it originally described optimising for Google's featured snippets and voice search, but it's aged into something broader.


GEO: Being Cited and Recommended by Generative AI

GEO is what determines whether ChatGPT, Gemini or Perplexity actually names Hamilton Accounting Partners when someone asks "who's a good accountant for a small business in Hamilton." These systems don't return ten blue links, they synthesise an answer from multiple sources and decide, in the process, which businesses are worth mentioning.


GEO isn't about whether a page ranks, it's about whether an AI system understands the business well enough, for example its services, its location, its credibility and whether to include it in a generated answer at all.

AI can't recommend what it doesn't understand.


Strategy

Optimises for

Main goal

Typical tactics

SEO

Traditional search engines (Google, Bing)

Rank and earn clicks

Keywords, technical SEO, backlinks, local SEO

AEO

Answer surfaces (snippets, voice, FAQ)

Be the direct, extracted answer

Schema markup, concise Q&A formatting, clear definitions

GEO

Generative AI systems (ChatGPT, Gemini, Perplexity)

Be cited or recommended in a generated answer

Entity clarity, structured content, authoritative sources, consistent brand information

Where AEO and GEO Actually Overlap


Why Google AI Overviews Gets Classified as Both AEO and GEO

Here's where the tidy three-column table starts to blur, and it's worth saying so rather than pretending the line is cleaner than it is. AEO was coined before generative AI chat interfaces existed, to describe optimising for things like featured snippets and voice search. Most of what used to count as a "featured snippet" has since been absorbed into AI-generated answers - Google AI Overviews being the clearest example. Depending which explanation you read, AI Overviews gets filed under AEO (because it behaves like a direct-answer surface) or under GEO (because it's generated by the same technology as ChatGPT and Gemini). Both readings are defensible and neither is wrong. The industry hasn't settled on one.


Treating AEO as a Format and GEO as a Target, Not Two Competing Strategies

The more useful way to hold this: AEO describes a format: direct, structured, answer-ready content and GEO describes a target: the generative systems now serving most of those answers.

Doing GEO well requires AEO's formatting disciplinee, they're not competing strategies chasing different readers. They're increasingly the same underlying work, looked at from two different angles.


Why SEO Is Still the Foundation for AEO and GEO


What Carries Over: Crawlability, Authority and Clear Entities

There's a version of this conversation that treats SEO as something AI search has made obsolete. It hasn't.


If Hamilton Accounting Partners' website can't be crawled, indexed or understood by Google, it's unlikely to perform well in AI search either, the same underlying signals (crawlability, content quality, authority, consistent information) feed both. This isn't a brand opinion; it's the one other point every AI system tested for this article agreed on independently.


What Changes: From Ranking Pages to Being Understood

What's changed is the job SEO has to do. It's no longer enough to rank a page, the content behind that ranking now needs to help both search engines and AI systems understand who the business is, who it helps, where it operates, and why it's credible. A page can rank for a keyword and still be poorly understood or service page can describe a service without ever explaining who it's for. That gap is exactly where AI systems start guessing and guessing is not the same as recommending.


How to Prioritise AI SEO Work for an NZ Business

Trying to do all three at once, from a standing start, is how most of this work stalls. A more workable order:


  1. Fix the SEO Foundations First

Technical accessibility, a well-maintained Google Business Profile, useful service pages, and accurate, consistent business information across the web. If this layer is shaky, nothing built on top of it holds.


  1. Add AEO Formatting Second

Answer the specific questions customers actually ask, pulled from real enquiries, not keyword guesses. Using clear headings, concise definitions, and structured data where it fits naturally.


  1. Build GEO Visibility Third

Strengthen entity clarity, earn credible third-party mentions, and keep business information consistent everywhere it appears. Then test it directly: ask ChatGPT, Gemini and Perplexity what they know about the business, who they think it's best suited for, and who they'd recommend instead. The gaps in those answers show exactly what still needs work.


How Success Is Measured Differently at Each Stage

The three disciplines aren't just different tactics, they're judged by different numbers, and mixing them up leads to the wrong read on progress:

  • SEO: rankings, organic traffic, clicks.

  • AEO: featured snippet or answer-box visibility, zero-click impressions.

  • GEO: AI mentions, citation frequency, referral traffic from AI platforms.


A business that's "winning" on rankings can still be entirely absent from AI-generated answers. That's not a contradiction, it's a sign the second and third numbers haven't been checked yet.


The AI Visibility Engine™: How We Bring These Together as One System

SEO, AEO and GEO are useful shorthand for what the wider industry is doing. They're not our methodology, the AI Visibility Engine™ is. Rather than treating "AI search" as a vague fourth category bolted onto the other three, we work through it as one connected system across five areas: Entity Definition, Structured Understanding, Authority Signals, Answer Alignment and Recommendation Reinforcement.

AI Visibility Engine™: A Structured System for Becoming Recommendable covers the full framework if you want the detail.


None of the AI systems we checked for this article used a New Zealand example, cited a New Zealand source, or seemed to know this market exists as a distinct thing to answer for. That's the actual gap most explanations of AI SEO leave open, not the definitions, which are settled enough, but the local context. Boring to point out? A little. Worth knowing before you act on generic advice? Very.


SEO gets you found. AEO gets you answered. GEO gets you recommended. None of that happens by accident which is why it needs a structured approach rather than three disconnected efforts.


AI can't recommend what it doesn't understand.


Frequently Asked Questions


What's the actual difference between SEO, AEO and GEO? SEO gets your business found in search results. AEO formats your content to answer specific questions directly. GEO is about being understood, trusted and recommended by generative AI systems specifically. In practice, AEO and GEO overlap heavily, most current answer engines are generative, so good AEO formatting is now part of doing GEO well.


Is SEO still important for AI search? Yes. AI search systems rely on many of the same underlying signals traditional search does - crawlability, content quality, authority, structure, trust. SEO now needs to support understanding, not just rankings.


How do I optimise my website for ChatGPT specifically? Make your business information clear, specific and consistent everywhere it appears - your site, directories, and any independent sources that mention you. ChatGPT has no way to verify a claim it's only seen once, from you, so consistency across sources matters more here than almost anywhere else.


Do I need to pick one of SEO, AEO or GEO? No. They're not competing strategies. Most businesses need all three working together, which is what the AI Visibility Engine™ is actually built to do.


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