AEO vs SEO vs GEO: What NZ Businesses Actually Need to Know

What is the actual difference between SEO, AEO and GEO?

They target three different behaviours of the same search ecosystem. The confusion comes from vendors selling them as separate disciplines when in practice they are three outcomes of largely overlapping work.

Why has this shift happened so fast?

Because the results page stopped being a list. Research by SparkToro found that 68% of US Google searches ended without a click in early 2026, up from around 60% two years earlier — and when an AI Overview is present, that figure rises to 83%.

Two caveats worth stating plainly, because most articles on this topic don't. First, that data is from the US market — no equivalent New Zealand dataset of that quality exists yet, so treat it as directional rather than literal for NZ and Australia. Second, zero-click doesn't mean zero-value: an answer that names your business, quotes your pricing structure or cites your guide still does commercial work, it just doesn't show up as a session in Google Analytics.

The practical consequence for an SME is a measurement problem before it is a traffic problem. If you judge your content solely on sessions, AI search will look like pure loss. If you also track branded search volume, direct traffic and enquiry quality, you'll see where the value actually moved.

What does AEO require that SEO doesn't?

AEO is mostly a formatting and structure discipline layered on top of good SEO content. The requirements are concrete:

• A standalone answer of roughly 40–100 words near the top of the page, written so it makes sense to someone who reads nothing else.
• Headings phrased as the questions people actually ask, so each section can be lifted out as a self-contained answer.
• Sections that stand alone: heading, direct answer, then the supporting list or table. No 'as mentioned above'.
• Lists, comparison tables, steps and definitions — the formats extraction systems reach for first.
• Visible FAQs in the HTML, matched by FAQ structured data generated from the same content.
• Server-rendered HTML. Content that only appears after client-side JavaScript is unreliable for extraction.

None of this conflicts with traditional SEO. It is simply a stricter version of the writing discipline good SEO always rewarded.

What does GEO require that AEO doesn't?

GEO is about credibility and clarity of meaning rather than format. A generative model has to decide whether your content is worth repeating, and it makes that judgement on signals that look a lot like editorial standards:

• Specific, checkable factual statements instead of hedged generalities.
• Named sources with links — 'Stats NZ' and 'the Australian Bureau of Statistics', not 'studies show'.
• Original insight, data or first-hand observation the model can't get from ten other pages.
• Transparent assumptions and stated limitations, which read as reliability rather than weakness.
• Clear entity signals: who the company is, what it does, who it serves, where it operates, why it's credible.
• Consistency between your website, your structured data, your listings and any llms.txt you publish. Contradictions get you discounted.

Does this mean traditional SEO is dead?

No — and the businesses claiming otherwise are usually selling something. Answer engines and generative models are largely built on top of the same crawled, indexed web. If your site is slow, thin, unstructured or invisible to crawlers, it will not be cited by anything.

What has changed is the ceiling and the mix. Ranking first is no longer sufficient, because first place can sit below a generated answer that resolves the query. So the foundation stays the same and the layers change:

What should a New Zealand or Australian business do first?

In order, because sequence matters more than breadth here:

1. Fix crawlability and server-rendered HTML. Nothing else counts if machines can't read the page reliably.
2. Pick your ten most commercially important pages and add a genuine 40–100 word direct answer to each.
3. Rewrite the headings on those pages as the questions your customers actually ask — including the local ones.
4. Add FAQ and organisation structured data generated from the visible content, never written separately.
5. Make your entity signals consistent everywhere: website, Google Business Profile, Bing Places, LinkedIn, directories.
6. Baseline your AI visibility by running twenty real customer prompts through ChatGPT, Perplexity and Gemini, and record what comes back.
7. Publish something only you can publish — your own data, your own observations from working in the market.

Step six is the one most businesses skip, and it's the cheapest. You cannot improve AI visibility you have never measured, and a spreadsheet of twenty prompts re-run each quarter is a perfectly serviceable tracking system for an SME.

For the tactical detail on earning citations specifically, read how to get cited by ChatGPT, Perplexity and AI Overviews.

Is there a local advantage in NZ and Australia?

Yes, and it is larger than in most markets. Generative systems answering a New Zealand-specific question have a thinner pool of genuinely local, current, credible sources to draw on than they do for the US or UK. A specific, well-structured page about how something works under New Zealand law, pricing or market conditions faces materially less competition than its global equivalent.

The same holds at city level. 'Best AI automation consultant in Auckland' and 'how much does a website cost in Wellington' are questions with far fewer authoritative answers than their international counterparts — which is exactly why NZ and Australian SMEs should be writing genuinely local content now rather than after the gap closes.