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
75/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike
100

Highest score on the LBA metric in this industry.

Authority Leader?
Carhartt WIP
54

Highest score on the Authority metric in this industry.

TOM Leader?
Supreme
95

Highest score on the TOM metric in this industry.

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 (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
Stüssy
stussy.com
 92
49
91
75
2
Carhartt WIP
carhartt-wip.com
 91
54
71
71
3
Supreme
supremenewyork.com
 86
24
95
59
4
Nike
nike.com
 100
23
57
52
5
Palace
palaceskateboards.com
 85
12
67
43
6
Fear of God Essentials
fearofgod.com
 80
11
55
39
7
BAPE
bape.com
 83
8
56
36
8
Kith
kith.com
 84
8
51
36
9
adidas
adidas.com
 100
10
25
31
10
Off-White
off---white.com
 84
8
32
30
11
The North Face
thenorthface.com
 96
10
23
30
12
Noah
noahny.com
 75
9
29
29
13
Uniqlo
uniqlo.com
 92
16
14
29
14
Brain Dead
wearebraindead.com
 76
8
23
26
15
Aimé Leon Dore
aimeleondore.com
 95
10
10
23
16
WTAPS
wtaps.com
 85
9
13
23
17
Neighborhood
neighborhood.jp
 90
9
10
22
18
Dickies
dickies.com
 79
8
11
21
19
HUF
hufworldwide.com
 79
8
11
21
20
Human Made
humanmade.jp
 88
9
9
21
21
Anti Social Social Club
antisocialsocialclub.com
 63
6
15
20
22
C
Cactus Plant Flea Market
cactusplantfleamarket.com
 83
8
8
20
23
The Hundreds
thehundreds.com
 79
8
9
20
24
Awake NY
awakenyclothing.com
 80
8
8
19
25
Billionaire Boys Club
bbcicecream.com
 76
8
8
19
26
B
Born x Raised
bornxraised.com
 77
8
8
19
27
Patta
patta.nl
 81
8
8
19
28
Stone Island
stoneisland.com
 80
8
8
19
29
Undefeated
undefeated.com
 80
8
8
19
30
Butter Goods
buttergoods.com
 75
7
7
18
31
Obey
obeyclothing.com
 75
8
8
18
32
Pleasures
pleasuresnow.com
 70
7
9
18
33
Only NY
onlyny.com
 68
7
7
17
34
Rhude
rh-ude.com
 71
7
7
17
35
XLARGE
xlarge.jp
 68
7
7
17
36
Market
marketstudios.com
 37
4
4
10

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
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 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 →