We asked 30 questions about prices in this industry, and not one answer named a business from the study. The engines answered anyway, using directories, comparison sites and government pages. Which means somebody is quoting a price for this work, and it is not the people doing it.
| Engine | Named | Own website linked | No AI answer given |
|---|---|---|---|
| ChatGPT | 46% | 10% | 0 of 50 |
| Perplexity | 52% | 44% | 0 of 50 |
| Google AI Overviews | 60% | 42% | 2 of 50 |
How often an answer linked to a business's own website varied a lot: from 10% on ChatGPT up to 44% on Perplexity. Google AI Overviews mentioned these businesses most often, in 60% of its answers.
| Kind of question | Named | Answers scored |
|---|---|---|
| Category ("who's the best") | 34% | 29 |
| Cost ("what does it cost") | 0% | 30 |
| Comparison ("X or Y") | 100% | 29 |
| Brand ("is X any good") | 100% | 30 |
| Problem ("how do I") | 30% | 30 |
These businesses came up most often on comparison and brand questions, in 100% of answers, and least often on cost questions, in 0%. That is a gap of 100 percentage points between the best case and the worst.
Every business measured in Real Estate for this edition. The rules for how they were picked are in the full methodology.
- 01Belle Property
- 02Core Realty
- 03Jellis Craig
- 04Kay & Burton
- 05MRE (Melbourne Real Estate)
- 06Marshall White
- 07McGrath
- 08Nelson Alexander
- 09Ray White
- 10Woodards
These are the industry numbers. Yours are the ones that decide whether a buyer finds you.
The same three engines, across 50 buyer questions written for your business.
All 1,459 answers have been scored once.
An independent second scorer is now re-checking a 10% sample. When that finishes, the verified figures replace these and every change is logged below.
We publish the agreement rate whatever it turns out to be.
Changelog
- v1.08 September 2026Every figure in the dataset re-checked and validated by our data team. No numbers changed.
- v1.0August 2026Initial release, first-pass scoring.