Overview Leaderboard Methodology
Industry Report

Fast Fashion Casualwear

Mass-market apparel companies producing trend-driven, affordable denim, tees, and everyday casual pieces with rapid seasonal turnover.

Brands tracked: 39
Brands analyzed: 39
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 299
Total responses: 1,540
Top Brand Overall?
Uniqlo
97/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Levi's
97

Highest score on the LBA metric in this industry.

Authority Leader?
Uniqlo
99

Highest score on the Authority metric in this industry.

TOM Leader?
Uniqlo
100

Highest score on the TOM metric in this industry.

Uniqlo is the default answer in AI responses for Fast Fashion Casualwear

When users ask ChatGPT, Claude, or Gemini about Fast Fashion Casualwear, Uniqlo is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. H&M is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 39 Fast Fashion Casualwear brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Uniqlo
uniqlo.com
 93
99
100
97
2
H&M
hm.com
 74
73
94
80
3
Zara
zara.com
 76
58
100
76
4
Mango
mango.com
 85
29
74
57
5
ASOS
asos.com
 78
13
48
38
6
Bershka
bershka.com
 71
7
55
33
7
Pull&Bear
pullandbear.com
 74
7
52
33
8
Old Navy
oldnavy.com
 80
18
21
32
9
COS
cos.com
 80
8
35
30
10
Gap
gap.com
 70
14
20
28
11
Abercrombie & Fitch
abercrombie.com
 82
8
23
27
12
Forever 21
forever21.com
 65
7
30
26
13
Shein
shein.com
 62
12
22
26
14
Cotton On
cottonon.com
 75
7
21
25
15
Levi's
levi.com
 97
10
10
23
16
Target
target.com
 86
9
9
21
17
Vero Moda
veromoda.com
 82
8
8
20
18
American Eagle
ae.com
 76
8
8
19
19
PacSun
pacsun.com
 78
8
8
19
20
Primark
primark.com
 63
6
13
19
21
Everlane
everlane.com
 72
7
7
18
22
Hollister
hollisterco.com
 74
7
7
18
23
Reserved
reserved.com
 72
7
7
18
24
Buck Mason
buckmason.com
 70
7
7
17
25
New Look
newlook.com
 68
7
7
17
26
Only
only.com
 67
7
7
17
27
Pepe Jeans
pepejeans.com
 72
7
7
17
28
Stradivarius
stradivarius.com
 68
7
7
17
29
C&A
c-and-a.com
 65
6
6
16
30
LC Waikiki
lcwaikiki.com
 66
7
7
16
31
Mavi
mavi.com
 63
6
6
16
32
Boohoo
boohoo.com
 61
6
6
15
33
Garage
garageclothing.com
 60
6
6
15
34
Lefties
lefties.com
 60
6
6
15
35
Rue21
rue21.com
 59
6
6
15
36
Aeropostale
aeropostale.com
 58
6
6
14
37
Tally Weijl
tally-weijl.com
 56
6
6
14
38
Terranova
terranovastyle.com
 50
5
5
13
39
J
Jennyfer
jennyfer.com
 43
4
4
11

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 299 shared Fast Fashion Casualwear prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 299 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →