AEO and GEO: How Australian Businesses Get Cited by AI Answer Engines

Shipping the product is half the job. If nobody finds it — or AI answer engines never cite it — the build sits idle.

That’s the Grow side of the work we do at Arvo Labs: not “more traffic” as a vanity chart, but qualified enquiries from people who already trust what an answer engine said about you. Classic SEO still matters. It is no longer the whole game.

This is a practical read on AEO (Answer Engine Optimisation) and GEO (Generative Engine Optimisation) for Australian operators — what changed, what to do first, and what timelines are honest.

For twenty years, “getting found” meant ranking on page one and winning the click. People still search that way. They also ask ChatGPT, Perplexity, Google’s AI Overviews, and other answer surfaces a question and take the synthesised reply as the first draft of truth.

If your brand, product, or expertise never appears in those answers — as a citation, a sourced claim, or a clear entity the model can trust — you are invisible in a channel that is eating discovery time.

AEO/GEO is the discipline of making your site and content citable: clear enough, structured enough, and credible enough that answer engines can use you without guessing.

It is not a new keyword packing contest. It is closer to technical SEO plus editorial honesty, aimed at machines that summarise rather than list.

Useful distinctions, then we drop the acronyms where we can:

Classic SEO — crawlability, indexation, relevance, links, local signals. Still the foundation. If Google can’t understand your pages, neither can most answer layers built on the open web.

AEO — optimising so that answer experiences (AI Overviews, featured-style answers, voice/assistant responses) can pull a clean, attributable answer from you.

GEO — optimising so generative engines cite or ground themselves on your material when they compose a longer answer.

In practice for a mid-market AU site, the work overlaps: fix the technical base, publish pages that answer one job clearly, prove who you are, and measure enquiries — not “AI mention vanity.”

Vanity traffic was always a weak north star. Qualified enquiries still beat impressions. That doesn’t change because the UI became a chatbot.

From the work we see, citation-ready sites share a few boring traits:

1. One clear answer per page. A page that tries to cover “everything about AI for business” gets summarised into mush — or skipped. A page that answers one operator question (“What governance do we need before agents go live?”) is easier to quote. Our own AI Agent Governance post is built that way on purpose.

2. Entities and facts that resolve. Who are you? Where do you operate? What do you sell? What do you explicitly not claim? Ambiguous “we help businesses grow with AI” copy is hard to cite. Specific offers, AEST hours, Australia as the operating context, and plain limitations (“we’ll tell you if AI isn’t the answer”) give models something solid to hang onto.

3. Structure machines can parse. Headings that match the question, short definitional openers, lists where a process is real, schema where it earns its keep (Organisation, Article, FAQ only when the FAQ is genuine). Decorative schema and keyword-stuffed FAQs help nobody.

4. Corroboration, not theatre. Answer engines prefer claims that show up consistently across your site and, where relevant, elsewhere. Invented case studies and inflated stats are a liability — they conflict under scrutiny. We keep public Work items labelled proof-of-concept for that reason. Prefer Lab demos and process honesty until real results exist.

5. Technical hygiene. Fast pages, clean canonicals, no soft-404 blogs, crawlable HTML for the core answer (not trapped only in an image or a gated PDF). Generative systems that browse or retrieve still trip over the same technical debt SEO always hated.

Skip the “AEO strategy deck.” Do this instead:

Week 1–2 — Inventory the questions you already win offline. List the ten questions buyers ask on sales calls. Map each to one URL (or admit you don’t have one). Those are your AEO candidates — not a random keyword tool dump.

Week 3–6 — Make five pages citation-grade. For each: one H1 that is the question or the plain answer, a 40–80 word definitional lede, the rest as proof and process, internal links to the next logical step (assessment, lab, contact). Cut fluff that exists only to sound big.

Ongoing — Technical SEO that answer engines inherit. Indexation, internal linking, Core Web Vitals that aren’t embarrassing, sitemap honesty. Competitive terms in SEO still often take 4–6 months. Anyone promising AI Overview dominance in two weeks is selling theatre.

Measurement — Enquiries and assisted conversions. Track form fills, booked calls, and “how did you hear about us” answers that mention ChatGPT/Perplexity/AI Overview. Rankings alone won’t tell you if Grow worked.

Build, then Grow is the sequence for a reason: a beautiful answer engine citation to a product that doesn’t ship yet just accelerates disappointment. Ship something real first — then make it land.

Be blunt with yourself:

We’ll say that in a free project assessment. Response within 1 business day. No pitch decks, no pressure.

1. Which ten questions should we own, and which URLs own them today? If they can’t answer without a 40-page audit theatre, keep looking.

2. What will we measure in 90 days that isn’t a vanity rank? Enquiries, call bookings, assisted conversions.

3. What timeline are you willing to put in writing for competitive terms? If it isn’t in the 4–6 month honesty band for hard keywords — or a narrower band for long-tail you already nearly own — treat the promise as marketing.

Getting cited by AI answer engines is real work. It is not a new religion. It sits on the same foundations as good technical SEO and clear writing — aimed at a discovery layer that summarises instead of only listing.

We build it. Then we make it land.

Free project assessment → https://arvolabs.com.au/assessment

Free 30-min strategy call → https://arvolabs.com.au

Lab (craft over claims) → https://arvolabs.com.au/lab

What’s slowing you down — the build, or the fact that nobody finds it?