Something genuinely odd happened to me recently. I asked an AI assistant a question about a service in my own area — partly research, partly nosiness — and it confidently recommended three local businesses by name. It described what they did, roughly what they charged, and why they were worth a look.
Two thoughts landed at once. First: this is how a growing number of people now find businesses — no list of blue links, no scrolling, just an answer. Second, and more sobering: the AI could only recommend what it could read. The businesses it named were the ones whose websites plainly said what they do, where, and for whom. Some genuinely excellent local operators simply didn’t exist as far as the machine was concerned — not because they’re bad at their trade, but because their websites say “Welcome to excellence” over a photo slider and leave the rest to imagination.
If you run a small business, that’s the whole story of AI search in one anecdote. Let me unpack it properly — and cut through the considerable hype being sold alongside it.
What “AEO” and “GEO” actually mean
Two acronyms are doing the rounds, usually attached to an invoice:
- AEO — Answer Engine Optimisation: making your content the thing that gets quoted when an AI answers a question, whether that’s Google’s AI results, ChatGPT, Gemini or whatever ships next quarter.
- GEO — Generative Engine Optimisation: essentially the same idea with a different hat on.
Strip the jargon and both describe an old instinct: be the clearest, most trustworthy, most quotable source on your topic. The venue is new. The principle has been true since search engines existed. If your website was genuinely useful and machine-readable in 2016, you’re most of the way to being AI-friendly in 2026 — which should tell you something about how much panic is warranted.
The uncomfortable truth first: there’s no trick
Before the practical advice, honesty — because there are agencies out there selling “guaranteed AI placement” the way people once sold guaranteed Google rankings, and it deserves the same scepticism.
Nobody outside the AI companies knows precisely how these systems select and weight sources. The systems change constantly. Anyone promising you a guaranteed spot in AI answers is guessing, at your expense. I won’t quote you adoption statistics for AI search either, because the honest ones are moving too fast to stand behind — and if you’ve read anything else I’ve written, you know we don’t publish numbers we can’t cite.
What we can say with confidence is directional, and it’s enough to act on: these systems are built on, and cite, content that is clear, factual, well-structured and corroborated. Vague content can’t be quoted. Contradictory information doesn’t get trusted. Unreadable sites don’t get read. Which means the work of “AI optimisation” looks almost suspiciously like the work of building a good website — done properly, at last.
What to actually do — the unglamorous, effective list
1. Answer real questions, in plain sentences. AI answers are assembled from content that answers things. The questions your customers actually ask — “do you service my suburb?”, “how much does a typical job cost?”, “how long does it take?” — answered directly on your site, in language a human would say aloud, is the most quotable content you can create. A genuine FAQ built from your real enquiries is gold. Keyword-stuffed filler is worse than nothing; these systems are, if anything, better than the old ones at ignoring word salad.
2. Be concrete and accurate. “We provide innovative solutions” gives a machine — and a human — nothing to work with. “We build and maintain WordPress websites for small businesses across Campbelltown and the Macarthur region” is a sentence an AI can confidently repeat. Specifics are quotable; fluff is invisible. And every factual claim on your site should be true, because these systems cross-reference — which brings us to trust.
3. Add structured data (schema). This is markup, invisible to visitors, that tells machines what your content is: your business name, location, hours, services, FAQs, products. It converts your website from prose a machine must interpret into facts a machine can rely on. Of everything on this list, it’s the most technical — and the most direct way to make yourself legible to answer engines. It’s standard in every site we build, because it was already good practice before AI made it urgent.
4. Get the fundamentals right. Fast, mobile-friendly, secure, sensibly organised. AI crawlers inherit the old crawlers’ preferences: if your site is slow or a structural mess, you’re hard to read, and hard-to-read doesn’t get cited.
5. Build real-world trust signals. The engines lean heavily on corroboration: consistent business details everywhere, genuine reviews, other sites referencing you. Notice these are exactly the signals that win local search — the two games have converged. There’s no shortcut here, because the signal being measured is actually being credible.
6. Keep your information consistent everywhere. If your website, your Google profile and three directories disagree about your hours or your suburb, you’ve handed the machines conflicting evidence. They respond the way a cautious human would: by trusting you less, or quoting someone else.
The honest bottom line
Don’t panic, and don’t buy snake oil. The shift to AI answers doesn’t obsolete good websites — it rewards them, more sharply than traditional search ever did, because there’s no page two of an AI answer. Clear beats clever. Accurate beats abundant. Structured beats sprawling. And thin, waffly, keyword-stuffed content — the stuff that used to scrape by — is punished harder than ever, which is genuinely good news if you’re prepared to be actually useful.
The businesses that get quoted by the AI engines in 2027 will be the ones that were clear, accurate and trustworthy in 2026. That’s entirely within your control, it’s the same work that persuades human customers, and almost none of your competitors are doing it deliberately. Quiet advantage lives in gaps like that.
We build sites with clean structure, proper schema and accurate, well-organised content as standard — because it’s simply good engineering, and it happens to be exactly what the answer engines want. If you’re curious how your business currently reads to a machine, ask us: we’ll tell you straight, in plain English, buzzword-free.
Ask how AI search affects your site →
No statistics are cited in this article by design: it describes an industry shift, and we don’t quote figures we can’t substantiate.