GEO, defined
Generative engine optimisation (GEO) is the discipline of structuring a business's content, facts, and online presence so that AI answer engines, ChatGPT, Google AI Overviews, Perplexity, Microsoft Copilot, and Claude, can understand it, trust it, and quote it inside generated answers. The goal is to be a named source in the response a buyer reads, not just a link in a list they may never see.
Why GEO matters for Australian businesses
Adoption is no longer fringe. QuickBooks reports that 69% of Australian small and medium businesses now use AI regularly, 79% of Australian SMBs using AI report productivity gains, and 43% report increased revenue since adopting AI. As those tools sit between buyers and businesses, the answer engine becomes a gatekeeper. When a Wollongong buyer asks an AI assistant to recommend a supplier or explain a service, the businesses that have done GEO well are the ones that get named. For local and national firms alike, this is early-stage visibility that shapes a shortlist before any website visit, which is why we treat it as a core pillar of our SEO/GEO growth service.
Source notes: QuickBooks 2026 AI Impact Report Australia
How AI engines choose and cite sources
Generative engines do not rank pages the way classic search does. They read a set of candidate sources, often retrieved live from the web, and compose an answer by selecting the passages that are clearest, most specific, and most credibly attributed. Three things drive selection. First, extractability: the engine favours content where the answer is stated plainly and can be lifted without reinterpretation. Second, corroboration: claims that appear consistently across multiple reputable sources are safer to repeat. Third, trust signals: a named author with real expertise, a recognised organisation, and consistent identity information across the web all raise the odds of being quoted. The providers' own developer documentation describes how these retrieval and tool-using systems assemble answers, useful background for anyone shaping content for them.
Source notes: OpenAI platform documentation, Anthropic Claude documentation
Content formats that get cited
Four formats reliably earn citations. Definitions: a crisp, self-contained explanation of a term in the first one or two sentences of a section gives the engine a clean block to quote. Statistics: a specific figure with context, such as an adoption rate, is far more quotable than a vague claim, because the engine can repeat it with attribution. Comparison tables and structured comparisons: when a buyer asks which option is better, the engine reaches for content that has already done the structured comparison. FAQ blocks: a question followed by a direct, complete answer maps exactly onto how a user phrases a query, making it one of the highest-yield formats for GEO. The common thread is that each format hands the engine a finished, attributable answer rather than asking it to synthesise one.
Building your entity
AI engines reason about entities, the recognised thing your business is, not just keywords. Entity building is the work of making that thing unambiguous and consistent everywhere it appears. That means a stable business name, address, and description across your website, Google Business Profile, directories, and social profiles; clear authorship with real credentials, in our case 20-plus years of enterprise IT and a CompTIA A+ background, attached to the content; structured data that tells engines who you are and what you offer; and a consistent narrative about your specialisation. When the same facts about a business appear reliably across many independent sources, an answer engine can quote it with confidence. When they conflict, the engine hedges or picks a competitor whose story is cleaner.
GEO and SEO are one system
GEO does not run on a separate set of pages. The technical SEO foundation, crawlability, fast pages, sound internal linking, and valid structured data, is also what lets answer engines retrieve and understand your content. Google Search Central remains the reference for that foundation, and the structured data it documents does double duty: it helps Search and it helps generative engines parse your facts. Treat GEO as a way of writing and structuring the SEO content you were already going to publish, leading with the extractable answer, then earning the read.
Source notes: Google Search Central helpful content guidance, Google Search Central structured data guide
How to measure GEO
Measurement is younger than SEO analytics, so set honest expectations. Track four things. Citation presence: for your priority queries, how often does your brand appear in the major AI engines' answers? Citation accuracy: when you are cited, is the information correct and current? Answer share of voice: in a given answer, how prominent is your mention against competitors? Referral traffic: what visits do AI engines actually send, increasingly visible in analytics as a distinct source. Sample the major engines regularly for your most important queries, log what you see, and watch the trend over months. The tooling is maturing quickly, but disciplined manual sampling already tells you whether the work is landing.
A practical first 90 days
Start narrow. Pick the ten queries that matter most to your business and check how the major AI engines answer them today, recording who gets cited. Rewrite your top commercial pages to lead with a quotable definition, add a credible statistic, include a structured comparison where relevant, and finish with a self-contained FAQ block. Fix your entity basics: consistent name and description everywhere, a real author with credentials, and valid structured data. Then re-sample those ten queries monthly. This is enough to prove the pattern before scaling it across the rest of the site, the same sequencing we use when building an AI roadmap for a business.