Strategy·9 min read
GEO vs SEO: What Brisbane Businesses Need to Know in 2026
Generative Engine Optimisation is changing how customers find businesses. What GEO means and why adapting early matters.
22 March 2026
Josh Higgins
Josh Higgins
SEO, AEO and GEO: the three layers of search in 2026
Search stopped being one thing. It used to be: type a query, get ten blue links, click one. Now the same query can route through Google AI Overviews, a Perplexity answer card, a ChatGPT response, a Gemini summary, or a voice assistant, and most of those interactions never produce a click at all.
Google's AI Overviews now appear in 25.11% of searches, according to Conductor's 2026 AEO/GEO Benchmarks Report, based on 21.9 million unique searches analysed between September and October 2025. In healthcare, AI Overviews show up for 48.75% of queries. Ahrefs found that AI Overviews reduced click-through rates for top-ranking Google content by 58%, a jump from 34.5% last year.
That is the backdrop. Three acronyms have emerged to describe how brands earn visibility inside that new reality: SEO, AEO, and GEO. They are not competing replacements. They are three layers of the same job, and you need all three working together.
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Book Your Free CallSearch Engine Optimisation is what you already know. Rank pages higher in Google's traditional results through technical health (crawlability, page speed, schema, internal linking), content depth and relevance, on-page signals (titles, headings, entity coverage), and off-page authority (backlinks, brand mentions, citations). The goal is a click from a ranked listing.
What has changed is the role SEO plays. It used to be the whole strategy. Now it is the entry ticket for everything else. Studies show a 92% correlation between pages ranking in the top 10 organically and pages cited in AI Overviews. You cannot skip traditional SEO and jump to GEO. The AI reads the top results. If you are not in the top 10, you are statistically unlikely to be read by the AI in the first place.
If your site cannot be crawled, indexed and trusted by Google, it cannot be retrieved by the AI systems sitting on top of Google's index either. SEO is no longer the destination; it is the precondition.
Answer Engine Optimisation is about structuring content so a machine can lift one clean answer out of it and serve that answer back to the user, often without a click. AEO is the practice of structuring your content so it gets extracted as a direct answer by AI-powered search features: Google AI Overviews, featured snippets, People Also Ask boxes, Bing Copilot, and voice assistants.
AEO originated in the featured-snippet and voice-search era around 2018 to 2020. The same mechanics now power the extractive parts of AI Overviews, Copilot's quick answers, and Siri, Alexa and Google Assistant responses. The discipline is about format and clarity:
AEO is a structural discipline. It rewards content that is easy to chunk and extract.
Generative Engine Optimisation is the newest layer and the one most agencies still misunderstand. GEO focuses on getting cited by large language models like ChatGPT and Claude in their generated responses, while AEO optimises for AI-powered search features like Google's AI Overviews and answer snippets.
Where AEO is about extraction (lift this one paragraph and show it), GEO is about synthesis (read across these ten sources, blend their information, decide which two or three to credit). The Princeton GEO research that kicked the term off in 2023 tested actual citation behaviour in Perplexity and a Bing-Chat-modelled system. It found that traditional SEO methods like keyword stuffing perform poorly in generative engine environments, while strategies such as adding citations, including statistics, and using authoritative language can boost visibility by up to 40% in AI responses.
The follow-on data has been consistent. The Princeton GEO study found that adding expert quotes boosts visibility by roughly 41%, statistics by about 30%, and citations by around 30%.
What makes GEO genuinely different from SEO is the source-selection model. Research from GEO firm Brandlight suggests the overlap between top Google links and AI-cited sources has dropped from 70% to below 20%. This gap is growing as AI systems develop their own preferences for which sources to cite.
That number is the real story. Five years ago, winning Google won everything. Today, you can be the number-one organic result and not appear in the AI Overview, the ChatGPT response, or the Perplexity answer. The engines are building their own opinion of who is worth citing, and it is drifting away from PageRank.
The clearest mental model is a stack.
SEO gets you indexed, crawled, ranked, and trusted by the underlying search index. Without this, nothing else functions.
AEO structures your content so the engine can extract specific answers from it. This wins you featured snippets, AI Overview inclusions, voice answers, and the extractive parts of Copilot and Gemini.
GEO builds the brand-level signals (authority, entity strength, original data, third-party validation, citation patterns) that cause generative engines to pick you when they are synthesising an answer from multiple sources. This wins you mentions inside ChatGPT, Claude, Perplexity, and Gemini responses.
They overlap heavily. Structured content helps both AEO and GEO. Authority signals help both SEO and GEO. Entity clarity helps all three. But the specific tactics that move each one have diverged enough that treating them as one discipline leaves visibility on the table.
This is the part most "GEO guides" hand-wave through. Here is what the published research and platform behaviour now tell us:
Retrieval first, generation second. Most AI answer systems do not pull from training data. They run a live retrieval pass (Bing for ChatGPT search and Copilot, Google for AI Overviews and AI Mode, custom indexes for Perplexity and Claude search), grab the top sources, then generate an answer grounded in those documents. If your page is not in the retrieval set, you cannot be cited. This is why SEO fundamentals still matter.
Consensus across sources. AI systems weight claims that appear across multiple credible sources. A statistic you publish that gets quoted by three other sites carries more weight than the same statistic sitting only on your domain. This is consensus modelling, and it is why off-site mentions (Reddit, industry publications, podcasts, news, third-party data citations) now matter more than raw backlink count.
Citation-worthy content patterns. The published data shows specific content features predict citation: original statistics, named expert quotes, inline citations to authoritative sources, direct answers in the first 200 words, structured data that confirms entities and relationships, and recency signals.
Platform-specific behaviour. Each platform behaves differently. Google AI Overviews pull mostly from top-10 results. Perplexity rewards freshness and authority. Copilot leans heavily on LinkedIn for B2B queries. ChatGPT shows a heavy bias toward Reddit, Wikipedia, and high-domain-authority publishers. Claude's published source preferences favour primary sources and well-documented technical content.
Citation decay. New content enters AI citation pools within 3 to 5 business days. However, content also decays: older articles lose citation priority without freshness updates. This is the most under-discussed mechanic in GEO. You do not write a piece once and ride it for two years. You ship it, monitor it, and refresh it on a cadence (typically every two to six weeks for high-value pages).
In classical SEO, you could win with technical execution and link-building even on a thin brand. In the AI era, that is much harder, because generative engines are explicitly trying to filter for trustworthy sources to avoid hallucinating or citing low-quality content.
Practically, this means:
Author authority is now a ranking input, not a checkbox. Real bylines, real LinkedIn profiles, real credentials, real publishing history elsewhere. The Princeton research and follow-on industry studies all point to expert quotes and named-author content outperforming anonymous content.
Entity strength matters more than keyword targeting. Can the AI confidently identify who you are? Is your business a recognised entity in Google's Knowledge Graph? Are your services, locations, and team members all clearly defined across the web? Entity ambiguity kills citations.
Original data is the highest-leverage asset. Statistics that only exist on your domain, surveys you ran, benchmarks you published, case study numbers you verified. These get quoted by other sources, which then becomes the consensus signal that AI engines weight heavily.
Third-party validation compounds. A mention in a respected industry publication, a podcast appearance, a Reddit thread that quotes you, a Wikipedia citation. These off-domain signals tell AI engines that the wider web treats you as a source, not just that you say you are.
Based on the 2026 benchmark data and what is measurably moving citation frequency:
The visibility game has changed in three specific ways that matter for revenue.
First, traffic is no longer the only or even the primary measure of organic value. Brand mentions inside AI responses reach buyers who never click your site. They absorb your positioning, your expertise, and your case studies, then come to you later through direct search or referral. You need to start measuring brand citation frequency, not just sessions.
Second, the cost of being invisible is going up fast. A 2025 Authoritas study found CTR drops can reach 80% on queries where AI summaries appear. If you are not cited in those summaries, you are not just losing the click, you are losing the impression entirely.
Third, the moat is becoming brand authority, not just keyword targeting. The businesses that win the next three years of organic visibility will be the ones that built genuine expertise positioning, original data, and a clear entity footprint. That is a slower, harder game than the keyword-and-backlinks playbook, but it is also more defensible once you build it.
Do not try to do everything at once. The order that works:
Three to six months of consistent execution is the realistic window for measurable lift in AI citations.
The competitive window is open right now because most businesses, even in well-resourced industries, have not started. That gap closes fast in 2026 and 2027.
If you want a baseline of where your brand currently stands across ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot, our GEO Audit tests 20 of your target queries across every major engine and gives you a prioritised action plan. Or book a free strategy call and we will walk through where the highest-leverage GEO and AEO wins sit for your specific business.
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