Findrix

Which women's everyday fashion brands
AI recommends in Australia

Brands ranked by mention rate on ChatGPT, Gemini, Google AI Mode and Perplexity

Brands
44
Questions
398
Answers
4,776
AI engines
4

01 · Brand leader

Top 10 brands by mention rate

No single brand runs away with the category.
Several brands compete for the top places.

ChatGPT
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#BrandMention rate Share of questions where ChatGPT names the brandShare of voice The brand’s share of all brand mentions in the engine’s answers95% range The interval the true mention rate most likely falls inIn top 20 of The brand’s place inside each engine’s own top 20
11–2Cotton On Body37.4%22.5%32.8–42.3ChatGPT1Gemini1Google AI Mode1Perplexity1
21–3Uniqlo28.6%10.6%24.4–33.3ChatGPT2Gemini3Google AI Mode3Perplexity2
32–4Cotton On21.3%8.6%17.5–25.6ChatGPT3Gemini2Google AI Mode2Perplexity3
43–7Country Road14.2%5.7%11.1–18.0ChatGPT4Gemini6Google AI Mode4Perplexity10
54–10Kmart10.2%3.2%7.6–13.6ChatGPT5Gemini7Google AI Mode7Perplexity7
64–13Forever New9.0%3.7%6.5–12.2ChatGPT6Gemini5Google AI Mode10Perplexity13
74–16Assembly Label8.0%3.2%5.8–11.1ChatGPT7Gemini17Google AI Mode6Perplexity16
85–16H&M8.0%2.6%5.7–11.0ChatGPT8Gemini11Google AI Mode15Perplexity5
95–20David Jones (owned brands)6.8%3.6%4.7–9.7ChatGPT9Gemini4Google AI Mode5Perplexity6
105–20Kmart Australia5.4%1.8%3.6–8.1ChatGPT10Gemini9Google AI Mode18Perplexity18

+24 more brands ranked below the top 20

Source: Findrix's research. Top women's everyday fashion brands by ChatGPT mention rate, Australia, Sep 2026.

02 · Engine consensus

Where each brand ranks
inside every engine’s top 10

There is no single AI top 10.
Only 6 of 15 brands rank in the top 10 of all 4 engines.

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BrandChatGPTGeminiGoogle AI ModePerplexityIn top 10 of
Cotton On Body1111ChatGPTGeminiGoogle AI ModePerplexity
Uniqlo2332ChatGPTGeminiGoogle AI ModePerplexity
Cotton On3223ChatGPTGeminiGoogle AI ModePerplexity
Country Road46410ChatGPTGeminiGoogle AI ModePerplexity
David Jones (owned brands)9456ChatGPTGeminiGoogle AI ModePerplexity
Kmart5777ChatGPTGeminiGoogle AI ModePerplexity

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.

04b · Most cited domains

Which sites each engine cites, and
how much of its answers they carry

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DomainChatGPTGeminiGoogle AI ModePerplexity
google.com 0.4%56.2%16.2%0.1%
youtube.com 0.8%<0.1%14.5%0.3%
reddit.com 1.0%0.9%2.3%10.2%
creaturesofhabit.in <0.1%0.6%6.5%0.1%
instagram.com 0.9%–3.8%0.1%
uniqlo.com 3.4%0.1%1.5%0.2%
simplystick.com.au <0.1%2.6%0.2%0.4%
whowhatwear.com 2.6%0.3%0.2%1.4%
nytimes.com –––2.4%
countryroad.com.au 1.8%<0.1%0.5%<0.1%
metreclothing.com 1×1.8%0.1%<0.1%
textileexchange.org 1.8%–0.1%0.1%

Each engine relies on a different information ecosystemThe domains that shape answers vary substantially
from one AI engine to another.

Source: Findrix research. Share of each engine's citations that goes to the domain. Sample: women's everyday fashion questions, Australia, measured Sep 2026.

05 · The questions we asked

398 buyer questions, each
asked three times per engine

This isn’t a branded-prompt study.
80% of questions are problem- or solution-aware.

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Buyer questions by intent
IntentQuestions
Solution-aware160
Problem-aware158
Informational40
Branded comparison24
Branded sentiment16

By intent

Examples · Solution-aware

“Where can I buy well-fitting Global fast fashion chains (H&M, Zara, Cotton On) online with hassle-free returns for Durability and easy care as of latest information?”

Mass-Market Fast Fashion · Solution-aware

“What are the top-rated casual DTC/Digital-Native Brands collections that cater specifically to Rapid trend turnover as of latest information?”

DTC/Digital-Native Brands · Solution-aware

Source: Findrix research. 398 buyer questions by intent, women's everyday fashion, Australia.

05b · By product type

Which product segments
the questions cover

The study doesn’t hinge on one product category.
Questions span 14 women's everyday fashion segments.

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Product segments covered by the question set
Segment
Bottoms
Tops & Blouses
Dresses & Jumpsuits
Knitwear & Sweaters
Jackets & Outerwear
Loungewear & Co-ords
Accessible Luxury
Budget/Ultra-Fast Fashion
Contemporary/Premium
Mass-Market Fast Fashion
Mid-Tier/High Street
DTC/Digital-Native Brands
Size-Inclusive/Extended Sizing Specialists
Sustainable/Ethical Fashion

14 segments

Examples · Bottoms

“I want to buy high-quality Tailored & Casual Trousers today, which retailers currently offer the best Waist, Hip, and Rise Fit Accuracy as of latest information?”

Bottoms · Solution-aware

How we measure, and what the 95% range means

Source: Findrix research. 14 product segments covered by the question set, women's everyday fashion, Australia.

Neighbouring markets · Fashion & Apparel

  • United States · Australia

    Activewear & Athletic Apparel

    ChatGPT leader Nike · 19.1% · 29 brands measured

    Open this market
  • United States · Australia

    Jewellery

    ChatGPT leader Tiffany & Co. · 9.6% · 30 brands measured

    Open this market
  • United States · Australia

    Swimwear & Resortwear

    ChatGPT leader Speedo · 24.4% · 39 brands measured

    Open this market

Frequently asked questions

What does this Women's Everyday Fashion AI Search report measure?

Which women's everyday fashion brands ChatGPT, Gemini, Google AI Mode and Perplexity name when buyers in Australia ask them for advice. We asked 398 buyer questions, each three times to each engine, and counted how often every brand appears and which websites the engines cite. Measured Sep 2026.

What does “mention rate” mean?

The share of questions where an engine names the brand in its answer. A 10% mention rate means the brand came up in about one question 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 6 of 15 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%.

What types of Women's Everyday Fashion questions are included?

Questions real buyers ask across 14 product segments, from problem-aware to solution-aware, informational and branded ones. 80% are problem- or solution-aware; this is not a branded-prompt study.

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 three times per engine and report a 95% range instead of a single answer.