How to get your business to show up in ChatGPT and AI search

Something has quietly shifted in how Australian buyers find suppliers. Someone who would once have typed "commercial fit-out Melbourne" into a search box now asks an assistant a fuller question: who should I talk to about fitting out a 200-square-metre office, and what should I expect to pay? What comes back is a short, confident answer naming two or three businesses. If you are not one of them, you were never in the consideration set at all, and no amount of advertising budget will retrofit you into that answer.

This is the practical problem behind AI search visibility — also called answer engine optimisation (AEO) or generative engine optimisation (GEO). For most Australian businesses the volume arriving this way is still modest next to conventional search. But the quality is unusually high, because the person lands on your site having already been told you are a credible option by a tool they trust. The temptation is to treat this as an entirely new discipline requiring new vendors and new budgets. That is mostly wrong. It is an extension of work you should already be doing, plus three or four specific additions.

Why does ChatGPT recommend some businesses and not others?

It helps to understand what actually happens when an assistant answers a question about suppliers. Broadly there are two paths. The first is trained knowledge: whatever the model absorbed about your industry during training, which you cannot edit and which is always somewhat out of date. The second is live retrieval: the assistant runs searches, fetches a handful of pages, reads them, and composes an answer citing what it found. The retrieval path is where almost all of your leverage sits, because it runs fresh every time someone asks.

Which means the real question is not "how do I get into the model" but "when the assistant goes looking, what does it find, and does it find enough to risk naming me?" An assistant will only recommend you when three conditions hold simultaneously. The framework below is the one we use to diagnose where a business is actually blocked.

Condition	What it means	What typically fails it
Retrievable	AI agents can reach, fetch and read your pages	Blocked crawlers, content rendered only by JavaScript, key facts locked in PDFs or images
Legible	Each page answers one question plainly, with machine-readable facts	Vague brochure copy, no structured data, answers buried under scroll-driven design
Corroborated	Independent sources repeat the same facts about you	Stale directory listings, inconsistent trading name, few or no third-party mentions

Is answer engine optimisation different from SEO?

Less than the market would like you to believe. A crawlable, fast, well-structured site that genuinely answers buyer questions performs well in both. The differences are of emphasis rather than kind, and knowing which is which saves you money.

Dimension	Conventional search	Answer engines
Unit of competition	A ranking page	A citable passage within a page
What wins	Relevance plus authority signals	A clear, self-contained answer the model can quote safely
Query shape	Short keyword phrases	Long conversational questions with context
Success looks like	A click from a results page	Being named, with or without a click
Measurement	Impressions, clicks, position	Referral sessions plus manual prompt testing

The strategic implication is that your existing keyword research work is not wasted — it needs reframing. Instead of a list of phrases, you want a list of the actual questions a buyer asks before purchasing, in their words, including the awkward ones about price, timelines and what goes wrong.

What do I actually need to change on my website?

Start with retrievability, because everything else is wasted if the page cannot be read. Check that your important pages return real content in the raw HTML rather than only after scripts run, that nothing critical lives solely inside a PDF or an image, and that your robots.txt does not quietly block the agents you want. Providers typically run separate agents for model training and for live search retrieval, so a blanket block applied years ago may be keeping you out of assistant answers today. Check each provider's current documentation and decide agent by agent rather than copying a blocklist from a forum.

Then work on legibility. Three changes do most of the work:

• Lead with the answer. Put a two-to-three sentence direct response at the top of the page, before the context and the storytelling. Models quote passages that resolve the question without needing the surrounding page.
• Make each section self-contained. Use headings phrased as the question a person would actually ask, then answer that question completely underneath it. A section that only makes sense after reading the previous four is hard to cite.
• Add structured data. Organization or LocalBusiness schema stating your legal name, ABN, service area, contact details and services, plus FAQPage schema mirroring any visible FAQ. This removes guesswork about who you are.

Specificity beats polish here. A page titled "Our Services" loses to a page that answers "what does a commercial fit-out cost per square metre in Melbourne" — because the second one matches a real question a real buyer asked. This is the same principle that drives getting a local business found on Google, applied to a longer, more conversational query. For a smaller Australian business, this is genuinely good news: on narrow questions, a precise specialist page can be cited ahead of a national brand's generic category page.

How do I build the off-site evidence AI models rely on?

This is where most businesses are actually blocked, and it is the least glamorous part. Models are cautious about naming a business on the strength of that business's own marketing copy. They look for corroboration — the same facts appearing somewhere other than your website.

The practical checklist is unexciting and effective. Claim and complete your Google Business Profile, with correct categories, service areas and hours. Audit the directory and association listings that already mention you and fix the ones carrying an old address, a superseded trading name or a dead phone number — inconsistency does more damage than absence, because it gives a model a reason to distrust every version. Keep your review profiles active, since reviews are both a trust signal and a rich source of the plain language customers use to describe what you do. Where it is natural and genuine, participate in the industry forums and community platforms your buyers read, because discussion threads are frequently retrieved when an assistant assembles a recommendation.

One honest caution: there is no legitimate shortcut here. Fabricated reviews, paid citation networks and invented credentials are both an Australian Consumer Law risk and increasingly detectable. The ACCC has been active on misleading online representations, and the downside of being caught vastly exceeds the upside of a faster result.

How do I know if AI search is sending me anything?

Measurement is partial, and pretending otherwise leads to bad decisions. What you can see is the click: when someone follows a citation, the visit usually appears as referral traffic in your analytics from hosts such as chatgpt.com, perplexity.ai or an assistant's search domain. If you already have Google Analytics 4 set up properly, you can segment those referrers, watch the trend and compare conversion rate against other channels. In practice, that traffic often converts noticeably better than cold paid clicks, because intent is pre-qualified.

What you cannot see is the mention without a click, which may be the larger share. The workable substitute is deliberate and manual: write down ten to fifteen questions a buyer would realistically ask before choosing a supplier like you, run them through two or three assistants once a month, and record whether you were named, who was named instead, and whether anything said about you was wrong. That log is a better guide to where to invest than any single metric, and correcting a factual error an assistant repeats about your business is often the highest-return hour you will spend.

Where to start

Sequence matters more than effort. First, remove the blocks — confirm AI retrieval agents can reach your key pages, because nothing downstream helps until they can. Second, fix corroboration, since a weekend spent correcting your Google Business Profile and three stale directory listings usually beats a month of new content. Third, build out answer pages for the ten questions your buyers genuinely ask, each leading with its answer and marked up with the right schema. Fourth, set up the measurement — referrer segment plus monthly prompt log — before you spend anything substantial, so you can tell whether the work is landing.

Treat this as a reallocation of existing effort rather than a new line item. Nearly everything on that list makes you easier for conventional search, and for human beings, to understand as well. That overlap is the reason to be sceptical of anyone selling AEO as a separate product with a separate retainer. If you want help working out which of the three conditions is actually holding your business back, that diagnostic sits inside Alpha Vault's digital and AI services — or book a consultation and we will run your site and your buyers' real questions through it together.