Get Cited by AI, Not Just Ranked

How AI Search Actually Works (and Why It Differs from SEO)

When someone asks an AI assistant a buying question, the system does something fundamentally different from a search engine crawl. It retrieves a small set of relevant sources, synthesises an answer, and — increasingly — cites the pages it used. Whether your business makes it into that retrieved set depends less on keywords and more on whether a model can resolve your entity confidently and find a passage it can quote with confidence.

That favours a different set of optimisations. Clear, consistent entity signals (your business name, category, location and services stated plainly and consistently); structured data that machine-reads cleanly; content organised around the actual questions customers ask, with the answer stated early and directly; and third-party sources that corroborate who you are. A page that is a beautifully written 2,000-word essay with no direct answer is less quotable than a page that answers the question in the first paragraph and supports it with specifics.

The Four Levers: Visibility, Entity, Evidence, Answer Format

Visibility. Can a model find and accurately retrieve you at all? We establish a baseline across the major assistants and answer engines for your priority questions, because almost every Australian business starts at zero or, worse, is described incorrectly.

Entity. AI systems resolve businesses as entities, not keywords. If your name, category, services and location differ between your website, your Google Business Profile and third-party directories, a model may treat you as several things — or none. Getting these facts consistent is unglamorous and unusually high-impact.

Evidence. AI is cautious. It cites what it can attribute to a credible source. Original data, expert-authored content, clear credentials and independent mentions give models the confidence to cite you rather than a competitor with stronger corroboration.

Answer format. AI quotes passages. Direct, self-contained answers to specific questions — ideally 40–60 words — in a scannable structure (short paragraphs, descriptive subheadings, FAQ blocks) are the most likely text to be lifted into an AI answer.

GEO, AEO and Classic SEO Are Complementary, Not Competing

AI search is not replacing SEO; it is adding a new retrieval surface on top of it. The pages most likely to be cited by AI are, almost by definition, pages that are also good for organic search: relevant, fast, well-structured, credible and genuinely useful. Rather than treating GEO as a separate discipline, we build it into the same work — better on-page structure and schema serve both, while the additional GEO work focuses on entity clarity and quotable, answer-first content.

This is also why accessibility and AI visibility reinforce each other: descriptive headings, meaningful link text and clean semantic markup are exactly what make content easy for both screen readers and machine retrieval to parse.

What We Deliver and How We Measure It

An engagement typically starts with an AI visibility audit: we capture how the major assistants currently answer for your category and brand, where you are absent, cited or misrepresented, and which competitors are being quoted instead. From there we prioritise the content and entity fixes with the highest chance of moving those answers.

Measurement is the part most agencies skip. We track AI-answer visibility for a defined set of priority questions — whether you are mentioned, whether you are cited, and what is said about you — alongside ordinary organic rankings and leads. That gives you one honest view of performance across classic search, AI answers and the traffic they send back to your site.