Which Australian sector is furthest behind on AI search visibility, and the government map that answers a better question
No per sector rate exists in any of our datasets, so here is the sector signal that does exist and the method that gives you your own ranking.
Published by AI Knows Us · Updated 22 October 2026
Nobody can give you a per sector ranking for this, including us, and a page that prints one is printing an invention. Our Australian audit spanned sectors rather than sampling each one, so it holds no healthcare figure, no financial services figure and no construction figure. Saying so is more useful than a league table, because a sector ranking taken from a dataset that cannot support it would send somebody's budget in the wrong direction.
What does exist is a sector signal of a different kind, and it is unusually strong in Australia. The government hosts the engines reached tell you which sectors have their buyer answers framed by regulation, and those are the sectors where a specific kind of page wins.
The signal that is in the data
On 22 October 2026 we put 33 batches of buying questions to ChatGPT and Gemini with Australia written into the text of each one, because the search interface we use accepts a country parameter, a language parameter and a location parameter, returns HTTP 200 for each, and ignores all three. The snapshot taken that evening holds 64 blind readings, 32 per engine, returning 1,010 distinct hosts.
Sixty six distinct Australian government hosts appeared 139 times across 25 of the 64 readings. Which ones they were is the sector map, and the breadth of it is the Australian story.
| Host | Readings | The sector whose answers it frames |
|---|---|---|
| business.gov.au | 15 | Every small and mid sized business question, across sectors |
| accc.gov.au | 13 | Consumer facing claims and pricing in every sector |
| acma.gov.au | 8 | Communications, telecoms, broadcasting and electronic messaging |
| oaic.gov.au | 6 | Any business holding a customer list |
| legislation.gov.au | 5 | Anything resting on statute, across every sector |
| business.qld.gov.au, nsw.gov.au, buy.nsw.gov.au | 5, 4, 4 | State level business support and state procurement |
| consumer.gov.au | 4 | Consumer protection, shared federal and state material |
| ato.gov.au | 3 | Tax and the GST line on every quote |
| ai.gov.au | 3 | Government policy material on artificial intelligence itself |
| asic.gov.au | 2 | Corporate verification, which every procurement process touches |
Alongside those, abs.gov.au, treasury.gov.au, aph.gov.au, fairwork.gov.au, ahpra.gov.au, medicalboard.gov.au, tga.gov.au, austrade.gov.au and productsafety.gov.au each appeared once or twice, along with state portals from Victoria, Western Australia, South Australia, Tasmania and the ACT and two local councils.
What that tells a seller in those sectors
When an Australian buyer in a regulated sector asks a buying question, the engines reach for the regulator and then look for a supplier who visibly answers to it. So in those sectors the winning page is not the one with the best copy. It is the one that states the rule, names where it came from, and says plainly what the supplier does about it.
Three sector clusters stand out on this signal. Health and allied health, where ahpra.gov.au, medicalboard.gov.au and tga.gov.au all appeared. Anything sending electronic messages, with acma.gov.au in 8 readings. And anything holding customer data, with oaic.gov.au in 6. A supplier in those three that cannot name its own regulatory frame is being compared against a government page it never mentions.
The method that gives you your own sector ranking
- Write 20 buying questions your sector's buyers actually ask, each naming Australia. Their words, not keywords.
- Run them on each engine you care about, three times each, and record three things. Whether any business was named, which one, and which sources appeared.
- Count named and cited separately. A page can be cited while the answer names a competitor, and those are two problems with two fixes.
- Date the file and repeat monthly. One run is a snapshot. The comparison is the measurement.
- Compare against one neighbouring sector if you want a ranking. Two sectors measured the same way on the same day is a comparison. Two measured differently is nothing.
Twenty questions across two sectors is an afternoon and it produces a defensible answer for your own business, which is worth more than any national sector table. Our guide to reading a mention rate without inventing an industry benchmark covers interpreting the result, and it exists because this temptation keeps arising.
Why the sector question has the shape it does
The honest overall finding is that almost every sector is behind, which is why a ranking is less useful than it sounds. In 28 of the 64 Australian readings the engines named no business at all. When they named somebody it concentrated on six marketing firms. That pattern, a small occupied set and a large empty space, is what a market looks like before anybody has competed in it properly, and it is the same shape in the Singapore reading we took the same day, where 36 of 64 readings named nobody.
So the useful framing is not which sector is worst. It is that in most Australian sectors the answers are unassigned, and the cost of claiming one is a page rather than a budget.
Questions about sector level AI visibility in Australia
Why will you not rank the sectors
Because our dataset spans sectors rather than sampling them, so there is no per sector rate in it to report. Inventing one would be the exact error this page is about.
Does anybody have a credible per sector figure
None we can check that names a sample, a method and a date. Treat any sector percentage you are shown as a claim until those three are attached.
Which sectors look most exposed on this signal
The regulated ones, because their buyer answers are being framed by a regulator's page, and a supplier who does not visibly answer to it is a weaker candidate. That is a signal about what to publish rather than a ranking.
Why did a government AI policy site appear
ai.gov.au appeared in 3 readings, which means that when an Australian buyer asks about AI in a business context the engines sometimes reach for official policy material. For a supplier selling anything AI related in Australia, that is the page your claims are sitting next to.
Does this change quickly
Quickly enough to date every reading. The scorecard behind this page was rewritten during the evening we were reading it, which is why these figures come from a frozen snapshot taken on 22 October 2026.
The host that makes AI itself a government framed subject here
One entry in the Australian government set is worth more attention than its count suggests. ai.gov.au appeared in 3 of our 64 blind readings on 22 October 2026, which means that when an Australian buyer asks about artificial intelligence in a business context, the engines sometimes reach for official policy material. For any Australian business selling anything AI related, that is the page your claims are being displayed next to, and it sets the register your page has to meet. It sits inside a broader pattern of 66 distinct government hosts appearing 139 times across 25 of the 64 readings, which is the real sector map in this dataset and the reason a sector ranking would tell you less than it promises. The actions available to a business are all at the level of individual questions rather than sector averages, and in this market 28 of 64 questions returned no supplier at all. AI Knows Us runs your own question list across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, reports named and cited separately, and writes the market into each question because the country parameters answer 200 and do nothing. It will not hand you a sector benchmark, because nobody has one worth handing over.