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Retail · a live data story

Fashion & Clothing,
according to AI

Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about fashion & clothing — and record exactly which brands they put forward. Right now, Next owns the conversation.

0 AI answers this run · 0 brands named · measured, never estimated

The podium

Next is the default answer.

Named in 28% of fashion & clothing answers, typically in position 2.7. Marks & Spencer follows at 27%, John Lewis at 15%.

Marks & Spencer
27% of answers
Next
28% of answers
John Lewis
15% of answers
The full board

Every brand AI names, ranked.

Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.

#BrandVisibilityAvg. positionCitation shareRead→cited
1Next 28% 2.7 0%
2Marks & Spencer 27% 2.2 5% 0%
3John Lewis 15% 2.9 11% 14%
4Primark 13% 1.9 5% 17%
5Sainsbury's 13% 4.0 0%
6Very 12% 2.1 0%
7H&M 12% 3.1 11% 20%
8ASOS 10% 4.0 21% 29%
9Zara 8% 3.2 11% 17%
10Tesco 8% 4.6 0% 0%
11TK Maxx 8% 5.8 0%
12ASDA 7% 4.3 0%
13New Look 5% 5.3 11%
14Boohoo 3% 2.0 0%
15Boden 2% 3.0 0%
What AI wants here

Fashion & Clothing is decided on affinity.

Being named is visibility. Underneath it, every answer describes a brand in three ways — how much it stands out, how much it belongs, and how much it is returned to. In fashion & clothing, John Lewis leads affinity at 121 against Boohoo at 77, indexed on the category at 100.

Affinity
John Lewis121
Boohoo77
44-point spread · tracks being named 0.63
Attraction
John Lewis123
Boohoo83
40-point spread · tracks being named 0.71
Attachment
John Lewis108
Primark93
15-point spread · tracks being named 0.41
John Lewis: Attraction 123, Affinity 121, Attachment 108
John Lewis
Complete desire
Marks Spencer: Attraction 111, Affinity 112, Attachment 101
Marks & Spencer
Quietly trusted
Next: Attraction 102, Affinity 98, Attachment 104
Next
Habit, not love
AttractionAffinityAttachment

Each whorl lights one ring per index threshold cleared. See the full fashion & clothing desire edition →

Who AI trusts here

The referees of fashion & clothing.

The independent sources AI models cite when answering fashion & clothing questions — the places a brand needs to be seen, reviewed and ranked.

whowhatwear.com 15 cites
mumsnet.com 7 cites
reddit.com 7 cites
gov.uk 5 cites
facebook.com 4 cites
independent.co.uk 3 cites
madeformums.com 3 cites
marieclaire.co.uk 3 cites
theguardian.com 3 cites
vogue.co.uk 3 cites
Read is not cited

ASOS converts reads into citations. Marks & Spencer doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? ASOS converts 29% of reads; Marks & Spencer just 0%. That gap is a content problem, not a visibility problem.

ASOS · read 7×29%
H&M · read 5×20%
Primark · read 6×17%
Zara · read 6×17%
John Lewis · read 14×14%
Marks & Spencer · read 10×0%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1Next28%2.70%
2Marks & Spencer27%2.25%0%
3John Lewis15%2.911%14%
4Primark13%1.95%17%
5Sainsbury's13%4.00%
6Very12%2.10%
7H&M12%3.111%20%
8ASOS10%4.021%29%
9Zara8%3.211%17%
10Tesco8%4.60%0%
11TK Maxx8%5.80%
12ASDA7%4.30%
13New Look5%5.311%
14Boohoo3%2.00%
15Boden2%3.00%
Which AI you ask

The models do not agree on who leads.

Ask about fashion & clothing and the brand you are shown depends on the assistant: Claude → Marks & Spencer, Gemini → Next, ChatGPT → Next. Their top-five lists share just 11% of names.

Claude recommends
Marks & Spencer
named in 30% of its answers
Gemini recommends
Next
named in 45% of its answers
ChatGPT recommends
Next
named in 25% of its answers

Brands whose visibility swings most between models — the bar per model, widest gap on the right.

Marks & Spencer 30pp
Next 30pp
ASOS 20pp
H&M 10pp
John Lewis 10pp
Primark 10pp
Tesco 10pp
New Look 10pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
Marks & Spencer30%40%10%30pp
Next15%45%25%30pp
ASOS20%0%10%20pp
H&M15%5%15%10pp
John Lewis15%10%20%10pp
Primark10%20%10%10pp
Tesco5%15%5%10pp
New Look5%10%0%10pp
Very5%15%15%10pp
Sainsbury's15%15%10%5pp
Keep exploring

Nineteen more categories.

Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Wed, 02 Sep 2026 03:07:17 GMT.

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