GOJI

The Australian AI Visibility Index

100 businesses10 industries1,459 answers, captured verbatim in August 2026
AI Visibility Index v1.0Australia
What we asked

We asked ChatGPT, Perplexity and Google AI Overviews 473 of the questions Australian buyers type every day. Things like who’s the best builder near me, what does a lawyer cost, and is this brand any good.

Then we sat down and recorded exactly who the machines named, who they linked to, and who never came up at all.

The pricing voidFinding 01
The headline finding

When Australians asked what a service business charges, the businesses themselves appeared in 5% of answers.

Service businesses named
5%
8 of 149 cost answers across the five service industries
Cost answers scored
149
Five service industries, three engines, August 2026
Industries at zero
2
Real Estate and Manufacturers named in none of their cost answers
Product industries named
98%
144 of 147 of their cost answers named a register business

The pattern runs through the whole study, and it is a simple one. If you sell a service rather than a product, you are missing from the conversation about what your own work costs.

Cost answers naming any register business. Service industries first, then product.
IndustryCost answers naming a register businessSector
Healthcare5 of 29Service
Real Estate0 of 30Service
Builders2 of 30Service
Manufacturers0 of 30Service
Lawyers1 of 30Service
Ecommerce30 of 30Product
Supermarkets28 of 28Product
Big Retail29 of 30Product
Banks29 of 29Product
FMCG28 of 30Product
Service industries: 8 of 149. Product industries: 144 of 147.

None of which stopped the engines answering. They simply answered from somewhere else, pulling their prices out of directories, comparison sites, industry bodies and government pages. So when a buyer asks what your kind of work costs, they are getting a number back. It just isn’t coming from you.

Our view

We think this is the most valuable unclaimed territory in Australian search at the moment, and the reasoning is fairly plain. Cost questions are the highest-intent questions anybody asks, because nobody types them idly. The engines are already answering them today, whether or not you are in the room. And almost nobody who actually does the work has turned up to that conversation. Whoever gets there first in each category, publishing real pricing in a format the machines can read, is going to own it for quite a while.

The Index10 industries, 100 businesses
Every industry in the Index, ordered by how often its businesses were named. Select a column heading to reorder. Percentages are the share of that industry’s scoreable answers.
Ecommerce94%51%0 of 30
Supermarkets90%36%0 of 28
Big Retail87%48%1 of 30
Banks86%51%0 of 29
FMCG86%41%2 of 30
Healthcare62%56%24 of 29
Real Estate53%32%30 of 30
Builders51%31%28 of 30
Manufacturers49%44%30 of 30
Lawyers42%38%29 of 30
Sells a product Named in most of their own cost answersSells a service Almost never named in their own cost answers

Read that table from top to bottom and the line through it is hard to miss, though it probably isn’t the line you would expect. Size doesn’t explain it. Neither does age, and neither does revenue. What separates the visible from the invisible is simply whether you sell a product or a service. Consumer brands get named in around 89% of their answers, while service businesses manage 51%, and they are almost never there on the questions that actually decide who gets hired.

Your industry, at the size of the headline

Businesses
100
Across 10 industries
Questions
473
Distinct buyer questions
Answers scored
1,459
Captured verbatim, August 2026
Service businesses in cost answers
5%
8 of 149 cost answers
Named is not the same as citedFinding 02

Being talked about and being the source are different assets.

Across the Index, four in ten mentions arrive with no link back to the business’s own site at all. In those answers the engine is describing a company entirely from what everybody else has written about it: reviews, directory listings, forum threads, old news pieces.

That gap matters rather more than it first appears. If the machines are describing you from third-party sources, then third parties are writing your description for you, and nobody is showing you the draft before it goes out.

54pts
The gap, supermarkets

Named in 90% of their answers. Cited in 36%. The rest of that conversation belongs to comparison sites and Reddit.

Australian AI Visibility Index v1.0, August 2026

Three engines, three different gamesFinding 03

Google AI Overviews

Named in answers
74%
Named
74%
Own site cited
45%
Declined to answer
41 of 500

Names the most businesses, declines the biggest questions. It names more businesses than either of the others, but it also walks away from the questions that matter most: half of its 41 non-answers were people asking who's the best. Google would rather show you nothing than pick a winner, and the LLMs, for better or worse, always pick.

ChatGPT

Named in answers
69%
Named
69%
Own site cited
29%
Declined to answer
0 of 500

A composition engine. It writes rather than retrieves, citing 3.5 sources an answer, and on reputation questions it often answered straight from memory without citing anything at all. Being known to ChatGPT and being sourced by it turn out to be two quite different things, and the first is earned over years rather than campaigns.

Perplexity

Named in answers
68%
Named
68%
Own site cited
55%
Declined to answer
0 of 500

A retrieval engine that shows its working. It averages 18.5 citations an answer, which makes it the most winnable of the three. Presence is earned page by page here, so if your site genuinely answers the question, you can be in the answer.

One measurement note we publish rather than bury

Our capture harness anchors every question to Australia, because the raw APIs default to answering as if the asker were American. Unanchored, the same trademark question returned USPTO and US attorney referrals. Anchored, it returned IP Australia and named an Australian firm. The methodology has the full worked example.

When the machine doesn’t know who you areFinding 04

Some invisibility is stranger than absence.

Some of what we found was not absence so much as mistaken identity. Asked “Is Up any good? What do reviews say?”, one engine went away and reviewed the Pixar film. Asked about Rebel, another worked through a camera, a movie and an app before it got anywhere near the sports retailer. And one business in the register, which has a fairly generic name, was never once identified correctly across all fifteen of its answers. An engine decided the name was “an industry term” and recommended other companies instead.

15
Answers, one register business

Not once identified. An engine called its name “an industry term” and recommended other companies instead.

Australian AI Visibility Index v1.0, August 2026

This one is worth sitting with for a moment, because it is not a ranking problem. If an engine can’t resolve your name to your business, you are not ranking badly. You are simply not in the answer space at all. Somewhere along the way, having a distinctive name stopped being a branding preference and quietly became a technical requirement.

What we measured and howMethod

Here is the short version. We have published the full methodology as well, including the register, both amendments and every judgment rule we applied, and that is deliberate: a study that hides its working is asking you to take its numbers on faith, and these numbers are far too pointed for that.

100
Australian businesses, 10 industries
473
Distinct buyer questions, five families
3
Engines, one pinned model each
1,459
Answers scored, 41 declined
  1. We measured 100 Australian businesses across 10industries. The consumer categories were picked by market position from public rankings. The service categories were picked by what actually ranks on Google for the category’s own search terms, with directories and aggregators taken out. Three national brands failed that ranking test and we kept them anyway, and said so, because a brand missing from its own category is a finding rather than a sampling error.
  2. We wrote 473 distinct questions across five families: category, cost, comparison, brand and problem. Every one of them is a question a real buyer would type, not a keyword dressed up as a sentence.
  3. Three engines, one pinned model each, identical conditions throughout, and every answer captured verbatim alongside its date, model and citations. ChatGPT ran on gpt-5.5-2026-04-23, Perplexity on sonar, and Google AI Overviews via DataForSEO, geo-coded AU.
  4. Everything was then scored for named, cited, accuracy and displacement against a written rubric. Of 1,500 business and question pairs, 1,459 came back with something scoreable and 41 did not.
Verification status: v1.0

First-pass scoring is complete across all 1,459 answers.

Independent second-scoring of a 10% sample is in progress. When it completes, verified figures replace these and every change is logged below.

We publish the agreement rate whatever it is.

Agreement rate: Second-scoring in progress

Changelog

  • v1.0August 2026Initial release, first-pass scoring.
What this means if you run a service businessSo what

Nothing in this Index suggests that AI visibility is a ranking you can go out and buy. What it does tell you comes down to three things.

  1. The questions that actually hire you, what things cost and who is any good, are being answered right now without you anywhere in them.
  2. Engines build their answers out of pages that already exist. Directories are winning because they publish exactly what buyers ask for, prices most of all, and most service businesses simply don’t.
  3. Each engine rewards something different, and all three of them can be measured. This Index is that measurement run at industry scale, and we run the same one for individual businesses.
Get your AI Visibility Report

We run search across Google and the AI answer engines. If you want to know where you actually stand in these same three engines before you decide anything, that is what the AI Visibility Report is for.

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