Overview Leaderboard Methodology
Industry Report

Streetwear Labels

Apparel brands focused on casual, urban clothing and graphic-driven collections embraced by youth and skate culture.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
Stüssy
74/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike
100

Highest score on the LBA metric.

Authority Leader?
Carhartt WIP
54

Highest score on the Authority metric.

TOM Leader?
Supreme
95

Highest score on the TOM metric.

Stüssy leads the Streetwear Labels category in AI responses

Stüssy is the most consistently-surfaced brand when users ask AI assistants about Streetwear Labels, but not to the point of monopolising the conversation. Carhartt WIP and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 36 Streetwear Labels brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Stüssy
stussy.com
 92
49
91
74
2
Carhartt WIP
carhartt-wip.com
 91
54
71
70
3
Supreme
supremenewyork.com
 86
24
95
58
4
Nike
nike.com
 100
23
57
51
5
Palace
palaceskateboards.com
 85
12
67
41
6
Fear of God Essentials
fearofgod.com
 80
11
55
37
7
Kith
kith.com
 84
8
51
33
8
Noah
noahny.com
 75
9
29
27
9
Uniqlo
uniqlo.com
 92
16
14
27
10
adidas
adidas.com
 100
7
25
26
11
BAPE
bape.com
 83
3
56
25
12
HUF
hufworldwide.com
 79
8
11
19
13
Dickies
dickies.com
 79
6
11
17
14
The North Face
thenorthface.com
 96
2
23
17
15
Aimé Leon Dore
aimeleondore.com
 95
3
6
12
16
Pleasures
pleasuresnow.com
 70
2
9
11
17
Stone Island
stoneisland.com
 80
3
7
11
18
Brain Dead
wearebraindead.com
 76
0
23
3
19
Off-White
off---white.com
 84
0
32
3
20
A
Anti Social Social Club
antisocialsocialclub.com
 63
0
15
2
21
C
Cactus Plant Flea Market
cactusplantfleamarket.com
 83
0
4
2
22
Human Made
humanmade.jp
 88
0
6
2
23
Neighborhood
neighborhood.jp
 90
0
10
2
24
Obey
obeyclothing.com
 75
0
5
2
25
Rhude
rh-ude.com
 71
0
6
2
26
The Hundreds
thehundreds.com
 79
0
9
2
27
WTAPS
wtaps.com
 85
0
13
2
28
Awake NY
awakenyclothing.com
 80
0
2
1
29
Billionaire Boys Club
bbcicecream.com
 76
0
2
1
30
Market
marketstudios.com
 37
0
4
1
31
Patta
patta.nl
 81
0
4
1
32
Undefeated
undefeated.com
 80
0
1
1
33
B
Born x Raised
bornxraised.com
 77
0
0
0
34
Butter Goods
buttergoods.com
 75
0
0
0
35
Only NY
onlyny.com
 68
0
0
0
36
XLARGE
xlarge.jp
 68
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Streetwear Labels 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
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 281 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 →