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ItalianoWhich women's everyday fashion brands
AI recommends in Australia
Brands ranked by mention rate on ChatGPT, Gemini and Google AI Mode
- Brands
- 571
- Questions
- 800
- Answers
- 2,394
- AI engines
- 3
01 · Brand leader
Top 10 brands by mention rate
No single brand runs away with the category.
Several brands compete for the top places.
| # | Brand | Mention rate Share of ChatGPT’s answers in this market that name the brand | Share of voice The brand’s share of all brand mentions in the engine’s answers | 95% range The interval the true mention rate most likely falls in | In top 20 of The brand’s place inside each engine’s own top 20 |
|---|---|---|---|---|---|
| 11–2 | The Iconic | 36.8% | 5.7% | 33.4–40.1 | ChatGPT1Gemini2Google AI Mode1 |
| 21–2 | Uniqlo | 33.6% | 5.5% | 30.3–36.9 | ChatGPT2Gemini4Google AI Mode4 |
| 33 | H&M | 25.6% | 4.4% | 22.6–28.6 | ChatGPT3Google AI Mode19 |
| 44–5 | Country Road | 19.1% | 2.7% | 16.3–21.8 | ChatGPT4Gemini1Google AI Mode2 |
| 54–8 | Cotton On | 16.6% | 2.8% | 14.0–19.1 | ChatGPT5Gemini12Google AI Mode8 |
| 65–12 | Assembly Label | 12.7% | 1.8% | 10.4–15.0 | ChatGPT6Gemini3Google AI Mode3 |
| 75–13 | Next | 11.9% | 1.9% | 9.7–14.2 | ChatGPT7Gemini17Google AI Mode5 |
| 85–13 | AERE | 11.8% | 1.6% | 9.6–14.0 | ChatGPT8Google AI Mode12 |
| 96–16 | Sussan | 10.4% | 1.7% | 8.3–12.5 | ChatGPT9Gemini14Google AI Mode11 |
| 106–19 | Seed Heritage | 9.4% | 1.3% | 7.6–11.6 | ChatGPT10Gemini7Google AI Mode7 |
| 116–20 | ASOS | 8.9% | 1.3% | 7.1–11.1 | ChatGPT11Gemini11 |
| 126–20 | Forever New | 8.7% | 1.2% | 6.9–10.8 | ChatGPT12Gemini5Google AI Mode6 |
| 137–20 | Levi's | 7.9% | 1.4% | 6.2–10.0 | ChatGPT13Gemini10Google AI Mode14 |
| 149–20 | Lululemon | 7.0% | 1.1% | 5.5–9.0 | ChatGPT14Gemini9Google AI Mode17 |
| 159–20 | Blue Bungalow | 6.8% | 1.2% | 5.2–8.7 | ChatGPT15 |
| 169–20 | ASOS Design | 6.5% | 0.9% | 5.0–8.5 | ChatGPT16 |
| 1710–20 | Lorna Jane | 6.3% | 0.9% | 4.8–8.2 | ChatGPT17Gemini15Google AI Mode13 |
| 1810–20 | Witchery | 6.3% | 0.9% | 4.8–8.2 | ChatGPT18Gemini13Google AI Mode16 |
| 1910–20 | Dissh | 6.1% | 0.8% | 4.7–8.0 | ChatGPT19Gemini16Google AI Mode9 |
| 2011–20 | Sportsgirl | 5.6% | 0.9% | 4.2–7.5 | ChatGPT20 |
02 · Engine consensus
Where each brand ranks
inside every engine’s top 10
There is no single AI top 10.
Only 5 of 16 brands rank in the top 10 of all 3 engines.
| Brand | ChatGPT | Gemini | Google AI Mode | In top 10 of |
|---|---|---|---|---|
| The Iconic | 1 | 2 | 1 | ChatGPTGeminiGoogle AI Mode |
| Country Road | 4 | 1 | 2 | ChatGPTGeminiGoogle AI Mode |
| Uniqlo | 2 | 4 | 4 | ChatGPTGeminiGoogle AI Mode |
| Assembly Label | 6 | 3 | 3 | ChatGPTGeminiGoogle AI Mode |
| Seed Heritage | 10 | 7 | 7 | ChatGPTGeminiGoogle AI Mode |
| Forever New | – | 5 | 6 | GeminiGoogle AI Mode |
| Next | 7 | – | 5 | ChatGPTGoogle AI Mode |
| Cotton On | 5 | – | 8 | ChatGPTGoogle AI Mode |
| GAP | – | 6 | 10 | GeminiGoogle AI Mode |
| H&M | 3 | – | – | ChatGPT |
| AERE | 8 | – | – | ChatGPT |
| COS | – | 8 | – | Gemini |
| Sussan | 9 | – | – | ChatGPT |
| Lululemon | – | 9 | – | Gemini |
| Dissh | – | – | 9 | Google AI Mode |
| Levi's | – | 10 | – | Gemini |
Rank inside each engine’s own top 10 · a dash means the brand is not in that engine’s top 10.
The rest depend on which engine the buyer opens — so a rank from a single engine is not a market position.
Source: Findrix's research. Where each brand ranks inside every engine's top 10, women's everyday fashion, Australia.
03 · Most cited domains
Which sites each engine cites, and
how much of its answers they carry
| Domain | ChatGPT | Gemini | Google AI Mode |
|---|---|---|---|
| google.com | <0.1% | – | 70.4% |
| reddit.com | 8.5% | 2.0% | 2.4% |
| myer.com.au | 2.5% | 5.6% | 0.7% |
| nestpath.com.au | 0.2% | 5.1% | 0.3% |
| womensweekly.com.au | 0.4% | 4.4% | 0.4% |
| uniqlo.com | 4.0% | 1.1% | 0.3% |
| davidjones.com | 3.6% | 1.1% | 0.4% |
| target.com.au | 3.5% | 0.4% | 0.2% |
| hm.com | 3.2% | 0.1% | – |
| chatgpt.com | 3.1% | – | – |
| theiconic.com.au | 3.1% | 1.0% | 1.7% |
| vogue.com.au | – | – | 2.2% |
04 · The questions we asked
800 buyer questions, each
asked once per engine
General requests and requests with a specific use case, audience, selection criterion or problem.
| Question type | Questions |
|---|---|
| General questions | 112 |
| Use case | 280 |
| Audience | 167 |
| Selection criteria | 155 |
| Problem to solve | 86 |
By question type
Examples · General questions
“what are the best womenswear brands in Australia?”
“what are the best linen dresses in Australia?”
Examples · Use case
“which brands make the best women's everyday leggings for long flights in Australia?”
“which linen dresses have the best reputation for summer holidays in Australia?”
Examples · Audience
“which women's knit cardigans are most popular with petite women in Australia?”
“which womenswear brands are best for women needing smart-casual office wardrobes in Australia?”
Examples · Selection criteria
“how do womenswear brands compare on crease-resistant fabrics for long commutes in Australia?”
“what are the top-rated linen dresses for breathability in Australia?”
Examples · Problem to solve
“trench coat wrinkles immediately when sitting. which women's trench coats would you recommend in Australia?”
“satin slip skirt elastic waistband rolls down. which satin slip skirts would you recommend in Australia?”
Source: Findrix research. 800 buyer questions by question type, women's everyday fashion, Australia.
05 · Product types
Which products the questions cover
Select a product type to see example questions from this market.
By product type
Examples · Activewear Leggings
“which brands make the best women's everyday leggings for long flights in Australia?”
Examples · Knit Cardigans
“which women's knit cardigans are most popular with petite women in Australia?”
Examples · Linen Dresses
“what are the best linen dresses in Australia?”
“which linen dresses have the best reputation for summer holidays in Australia?”
“what are the top-rated linen dresses for breathability in Australia?”
Examples · Satin Slip Skirts
“satin slip skirt elastic waistband rolls down. which satin slip skirts would you recommend in Australia?”
Examples · Trench Coats
“trench coat wrinkles immediately when sitting. which women's trench coats would you recommend in Australia?”
Examples · No product type assigned
“what are the best womenswear brands in Australia?”
“how do womenswear brands compare on crease-resistant fabrics for long commutes in Australia?”
“which womenswear brands are best for women needing smart-casual office wardrobes in Australia?”
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Frequently asked questions
What does this Women's Everyday Fashion AI Search report measure?
Which women's everyday fashion brands ChatGPT, Gemini and Google AI Mode name when buyers in Australia ask them for advice. We asked 800 buyer questions, each once to each engine, and counted how often every brand appears and which websites the engines cite. Measured Oct 2026.
What does “mention rate” mean?
The share of an engine’s answers to this market’s buyer questions that name the brand. A 10% mention rate means the brand came up in about one answer in ten. Every rate carries a 95% range: the interval the true value most likely falls in.
How are the top Women's Everyday Fashion brands ranked?
By mention rate, separately for each engine — pick the engine above the table. When two brands’ 95% ranges overlap, their order is not really different — tick “Only distinguishable places” to see the ranks the data can actually separate.
Why does a brand rank differently across AI engines?
Each engine retrieves from different sources and weighs them differently, so the brands it knows best differ too. Only 5 of 16 brands make the top 10 of every engine here; the rest depend on which engine the buyer opens.
What counts as a citation?
A link or source an engine shows alongside its answer. We record every cited domain, whether it appears inline or in the source list.
Why can AI mention a brand without citing its website?
Engines learn brand names from reviews, expert sites, retailers and forums, then cite those sources rather than the brand’s own pages. A brand can be named often while its own site is rarely among the sources.
What does “share of citations” mean?
Of all the citations one engine gave across our questions, the share that went to a given domain. The shares of one engine add up to 100%.
Will I get the same answers if I ask these questions myself?
Not word for word. AI answers vary between runs, accounts and locations, which is why we ask every question once to each engine and report a 95% range instead of a single answer.