Big Retail in the answer engines
We measured 10 businesses in Big Retail. Across the answers we captured, the engines named one of them 87% of the time, and linked to its own site in 48% of them.
Of the 30 cost answers, 1 of them named nobody from this register at all. Cost questions are where product categories are at their strongest, and that is exactly what makes the service industries in this study so conspicuous.
| Engine | Named | Own site cited | Declined to answer |
|---|---|---|---|
| ChatGPT | 88% | 36% | 0 of 50 |
| Perplexity | 86% | 60% | 0 of 50 |
| Google AI Overviews | 87% | 47% | 3 of 50 |
Citation rates ranged quite widely, from 36% on ChatGPT up to 60% on Perplexity. ChatGPT named a business from this register most often, in 88% of its answers.
| Question family | Named | Answers scored |
|---|---|---|
| Category ("who's the best") | 75% | 28 |
| Cost ("what does it cost") | 97% | 30 |
| Comparison ("X or Y") | 97% | 30 |
| Brand ("is X any good") | 90% | 30 |
| Problem ("how do I") | 76% | 29 |
These businesses came up most often on cost and comparison questions, at 97%, and least often on category questions, at 75%. That is a gap of 22 points between the best case and the worst.
Every business measured in Big Retail for this edition. Selection rules are in the methodology on the main Index page.
- 01Big W
- 02Bunnings
- 03Chemist Warehouse
- 04Harvey Norman
- 05JB Hi-Fi
- 06Kmart
- 07Myer
- 08Officeworks
- 09Rebel
- 10The Good Guys
Being named is not the same as being cited, and only one of them is yours to control.
The same three engines, across 50 buyer questions written for your business.
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.
Changelog
- v1.0August 2026Initial release, first-pass scoring.