AEO, GEO and SEO: the Australian guide for 2026

AEO. GEO. SGE. AI Overviews. AI Mode. If you've been anywhere near digital marketing this year, you've been hit with the lot. Some of these terms mean the same thing. Some represent genuine distinctions. And beneath all of them, something real is changing about how people find businesses online.

This guide covers what each term actually means, what the Australian data shows is happening, and what's worth doing about it. It's longer than most posts - because the topic warrants it, not because it couldn't be shorter.

The 30-second version

If you're pushed for time: AEO (Answer Engine Optimisation) means structuring your content so AI-powered tools choose it as a trusted source when answering questions. GEO (Generative Engine Optimisation) is the same discipline with a different name, coined in a 2023 research paper from Princeton and Georgia Tech. SEO is still the foundation for both.

They are not competing strategies. They are a stack. Good SEO is roughly 80% of the groundwork for AEO and GEO. The extra 20% is specific and learnable. That's what this guide covers.

What each term means

SEO (Search Engine Optimisation) has been around for over 25 years. Its goal is getting your web pages to rank in search engine results, primarily Google. It works through technical factors (site speed, structure, crawlability), content quality (relevance, depth, freshness), and authority signals (backlinks from credible sites). The output is a position in the list of blue links.

AEO (Answer Engine Optimisation) is the practice of structuring your content so AI-powered tools can extract and cite it when answering someone's question. The "answer engines" are things like Google AI Overviews, ChatGPT, Perplexity, and voice assistants: systems that generate a direct answer rather than a list of links. Good AEO means being the source those systems trust enough to cite.

GEO (Generative Engine Optimisation) is essentially the same thing as AEO, with a slightly different frame. The term comes from the Princeton/Georgia Tech paper and focuses specifically on getting cited inside AI-generated conversational responses. In practice, the tactics overlap almost completely with AEO. Most practitioners treat them as interchangeable. I do too.

There's also AIO (AI Optimisation) and GSO (Generative Search Optimisation) floating around. Same idea, different branding. The industry hasn't settled on one term, which is a taxonomy problem, not a strategic one.

These are not three separate disciplines requiring three separate strategies. They are layers on the same foundation. If you're doing good SEO - structured, fast, authoritative, well-linked - you're already doing most of what AEO and GEO require.

Why this matters more in Australia than almost anywhere else

Australia is an unusual case. Most global AI search statistics understate what's actually happening here.

Google AI Overviews are now appearing in approximately 39% of Australian searches, nearly triple the global average. That's not a prediction. It's where we were sitting as of early 2026, and it's been climbing since the October 2024 rollout.

Zero-click searches - queries where the user gets their answer without clicking any website - exceeded 70% of all Australian Google queries by early 2026. When an AI Overview is present, that figure jumps to 83%. Seventeen in every hundred searches with an AI Overview result in a click to a website.

Australia also has among the highest per-capita AI tool adoption rates globally, ahead of the US, UK, and most of Europe. Research from KPMG's 2024 AI in Australia report found that roughly half of Australians had used generative AI tools in the past year, skewed heavily toward the 18-44 demographic that makes up the majority of B2B decision-making and considered-purchase research.

Google AI Mode - a fully conversational search interface where users ask follow-up questions without ever landing on a traditional results page - launched in limited US markets in 2025 and is expected in Australia by mid-2026. Where AI Overviews produce an 83% zero-click rate, AI Mode queries produce a 93% zero-click rate according to Seer Interactive's analysis of 25 million impressions.

One important nuance for Australian service businesses: not all query types are equally affected. Only approximately 7.9% of local search queries currently trigger an AI Overview. The local map pack remains dominant for "near me" and suburb-level searches. Trades, healthcare, hospitality, and other location-dependent businesses are meaningfully more protected from AI Overview disruption than information-heavy content sites. The urgency is real, but it's calibrated to your content type.

The practical implication: if your business depends on being found through search, these numbers are already affecting your traffic. Not catastrophically: traditional search isn't gone. But the mechanisms are shifting faster in Australia than in most other markets, and the gap between businesses that have adapted and those that haven't is widening.

What signals make an AI system trust your content?

Several studies have examined what makes content more likely to be cited by AI systems, and the findings are fairly consistent.

The most influential research comes from Princeton and Georgia Tech, whose GEO study tested ten different content strategies against seven major AI search engines. Three strategies produced the largest improvements:

1. Citing credible sources: improved visibility by up to 115% for lower-ranked content (the biggest single lever in the study)
2. Adding statistics: specific, dated numbers improved citation rates by 37%
3. Including relevant quotations: authoritative quotes from named experts improved visibility by 28%

One finding stood out: traditional keyword stuffing actively hurt AI citation rates by about 10%. AI systems understand context better than old-school crawlers. Repeating your target keyword seventeen times in a post is a legacy tactic that never worked well for users and now performs measurably worse for AI citation.

A Relixir study of 50 sites found pages with FAQPage schema achieved a 41% AI citation rate versus 15% without it (2.7 times higher). And a Superlines analysis found pages with well-organised heading hierarchies are 2.8 times more likely to earn AI citations than those without.

One more finding worth noting: an Ahrefs analysis found that 38% of Google AI Overview citations still come from content ranking in the traditional top 10 organic results. This matters because it means traditional SEO is not just compatible with AEO; it's the most reliable path to it. The two signals are correlated. Rank well organically and your citation probability goes up significantly.

What this means in practice:

Structure matters more than keyword density. AI systems parse your content by semantic structure: headings, paragraphs, lists, FAQs. A page with a clear H2 that answers "How much does it cost?" followed by a direct, concise paragraph will be extracted and cited far more reliably than a page that buries that answer in a wall of text.

E-E-A-T is real, and AI cares about it more than Google does. Google's E-E-A-T framework - Experience, Expertise, Authoritativeness, Trustworthiness - has always been about signalling which sources to trust. AI systems lean on it heavily, because they're synthesising answers from multiple sources and need to know which ones to weight. A well-constructed author page, real credentials, genuine expertise demonstrated through content. These are all citation signals.

Freshness matters. AI systems bias towards recently updated content. A post from 2022 with stale statistics will lose to a 2026 post with current data, all else being equal. Updating your most important content with current figures and a fresh dateModified in the schema is one of the highest-leverage AEO moves available.

Entity consistency helps. Your business name, address, phone number, and key service descriptions should match across your website, Google Business Profile, LinkedIn, and any other mentions. AI systems build entity graphs. Consistent information builds a clearer entity, which increases citation trust.

The 8-step AEO checklist for Australian businesses

In approximate priority order, starting with the highest-impact moves.

1. Answer the question in the first sentence of every section

Every H2 and H3 in your content should be followed immediately by a concise answer (40 to 60 words that directly address it). Then expand. AI systems extract these answer blocks. If the answer is buried three paragraphs deep, it often won't be extracted at all.

2. Rewrite your headings as questions people actually ask

"Our Services" becomes "What SEO services are available in Perth?" "Process" becomes "How does working with a consultant work?" This sounds cosmetic but significantly improves AEO citation rates and visibility in People Also Ask boxes, which remain one of the highest-traffic features in Australian search results.

3. Add FAQ schema to every post and service page

FAQ schema (type FAQPage in JSON-LD) tells AI systems exactly where your question-and-answer content is. Pages with FAQ schema are cited in AI Overviews at substantially higher rates. Every service page and blog post should have at least four FAQ pairs. The schema must match the visible HTML content exactly. AI systems and Google both penalise mismatches.

4. Cite credible external sources

Every factual claim should link to a credible external source: ABS data, industry research, published studies, reputable journalism. This improves citation rates in AI systems (the Princeton study found it the single most impactful tactic) and signals E-E-A-T to Google. It also makes your content genuinely more trustworthy, which is the point.

5. Build a proper author page

A 150-word-plus bio with real credentials, a professional photo, your experience in the field, and links to your LinkedIn and any published work elsewhere. Pages demonstrating real professional experience are cited 3.2 times more often in AI systems than anonymous content. This is the E-E-A-T signal most Australian businesses skip.

6. Add statistics with dates

AI systems prefer specific, current data over general claims. "Most businesses" should become "62% of Australian SMBs in a 2025 survey". If you're writing something date-perishable, update it annually and refresh the dateModified in your Article schema. The combination of specific data + recent date is a strong citation trust signal.

7. Make your technical foundation solid

Core Web Vitals, sub-2.5-second load times, clean semantic HTML, mobile-first rendering, correct sitemaps and robots.txt. AI crawlers behave like fast, efficient versions of Google's crawler. If your site is slow, poorly structured, or blocks crawlers, you're not in the game. A hand-coded HTML site has a real structural advantage here over a WordPress site loaded with page builders, heavy plugins, and render-blocking scripts.

8. Get cited by credible Australian sources

Brand mentions in AU publications, industry directories, and credible external sites build entity trust. This is the long game (it doesn't happen overnight), but a single mention in a reputable Australian industry publication does more for AI citation trust than 50 low-quality backlinks. Target one meaningful mention per month rather than chasing volume.

What the data says actually works

The research is worth looking at closely, because some of it runs counter to the advice circulating.

The Princeton/Georgia Tech GEO study is the most rigorous examination of AI citation signals published so far. It tested ten strategies against Bing, Google, ChatGPT, Perplexity, and three others.

The strategies that reliably improved visibility were: citing sources (+38% improvement), adding statistics (+37%), and including quotations (+30%). "Authoritative tone" helped modestly (+12%). Keyword stuffing performed -10%. Adding fluency optimisation had negligible effect.

AI systems are looking for the same things a knowledgeable human reader would look for. Evidence, specificity, authority. Not signal manipulation.

Safari Digital's analysis of AI Overview statistics found that content ranking in positions 1-5 in traditional Google results is cited in AI Overviews at significantly higher rates than content outside the top 10. The two signals are deeply correlated. For how to allocate your effort, this is the most useful number: strong traditional SEO is still the most reliable path to AI citation.

BrightEdge research adds a nuanced finding: impressions on AI-cited content increased by 49% since the introduction of AI Overviews, while click-through rates fell by 30%. Being cited in an AI Overview may not drive clicks, but it does build brand visibility with the people who were going to get an answer without clicking anyway. That brand exposure compounds.

AI referral traffic is still small. The median website gets approximately 0.1% to 0.5% of its total traffic from AI platforms (Similarweb, 2026), and Conductor's analysis found ChatGPT drives 87.4% of that AI referral traffic. But the conversion quality is exceptional: AI-referred visitors convert at up to 4.4 times the rate of standard organic search visitors. The volume is small now, growing fast, and the visitors who arrive are highly qualified. That's the case for building toward it now rather than later.

What to stop worrying about

A few things that get attention but don't warrant it.

"We'll get you ranking in ChatGPT." ChatGPT doesn't have rankings in any traditional sense. It generates a fresh response to every query, drawing from whatever it considers most relevant at that moment. There's no position one to occupy. When someone says this, ask them exactly what they mean. If they can't explain it clearly, it doesn't mean anything concrete.

Keyword stuffing for AI. The GEO study found this actively hurts citation rates. AI systems understand context. Repeating your target keyword seventeen times is a legacy tactic that never worked well for users and now performs measurably worse for AI citation.

Expensive "proprietary AEO technology". The signals that influence AI citations are well-documented and largely overlap with good SEO practice. Schema markup, content structure, E-E-A-T signals, source citations. There's no algorithmic black box to unlock. Be sceptical of any service that can't explain, in plain language, what it's actually doing and how it will be measured.

Abandoning traditional SEO. AI search is growing quickly, but Google still processes approximately 8.5 billion searches per day and drives more web traffic than any other source. Safari Digital's research shows that content ranking well in traditional Google results is dramatically more likely to be cited in AI Overviews. The two signals are correlated, not opposed. Run solid SEO and layer AEO on top. Don't trade one for the other.

Where to start if you're doing this from scratch

If your site is already well-optimised for traditional SEO, you're further along than you might think. Here's how I'd approach the AEO layer:

Month one - technical and schema. Implement FAQ schema across your core service pages and highest-traffic blog posts. Ensure your Article schema includes author, datePublished, and dateModified. Audit your load time and Core Web Vitals. These are the highest-leverage technical changes and they're implementable in a few days on a clean site.

Month two - content restructuring. Revisit your top 5 to 10 pages by impressions (not clicks; the ones close to page one but not quite there yet). Rewrite section headings as questions. Add direct-answer paragraphs under each heading. Add citations to credible sources. Update any stale data with 2026 figures and refresh dateModified. This is the most time-intensive step but produces reliable gains.

Month three - authority building. Publish one well-researched piece that a credible Australian outlet might cite or link to. Update your author page. Ensure entity consistency across Google Business Profile, LinkedIn, and your website. Start tracking AI referral traffic in GA4: look for sessions from chatgpt.com, perplexity.ai, gemini.google.com, and copilot.microsoft.com.

This isn't a one-time project. AI search is moving fast and the citation signals are still forming. The businesses that treat AEO as ongoing practice (refreshing data, strengthening citations, keeping schema current) will compound their position over time.

Where this leaves you

AEO is real. It's already affecting Australian search traffic, more so here than in most other markets. The shift is worth taking seriously, and starting early does matter.

But most of what makes content good for AEO makes it good for traditional SEO too. Structure that answers questions directly. Real expertise demonstrated through specifics. Sources that a reader would actually want to follow. If you're already doing those things, you're most of the way there.

The distinctly AEO work - FAQ schema, direct-answer paragraphs, entity consistency - isn't difficult. It's learnable and implementable in a few weeks on a reasonably sized site.

You don't need to overhaul everything, or pay for a specialist "AI search audit" before you start. You probably already have a foundation. Adding the AEO layer on top of it is enough to get started. And if you want to know where your site stands, email Stuart. I offer this as part of my SEO and AEO services, and I'm happy to give you an honest read of where you are without a hard sell.