Overview Leaderboard Methodology
Industry Report

Skate Shoe Brands

Footwear companies specializing in durable, performance-oriented shoes designed for skateboarding and associated styles.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Vans
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike SB
92

Highest score on the LBA metric in this industry.

Authority Leader?
Vans
100

Highest score on the Authority metric in this industry.

TOM Leader?
Vans
100

Highest score on the TOM metric in this industry.

Vans is the default answer in AI responses for Skate Shoe Brands

Vans and Nike SB together dominate AI responses for Skate Shoe Brands. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 33 Skate Shoe Brands 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
Vans
vans.com
 87
100
100
95
2
Nike SB
nikesb.com
 92
68
100
86
3
adidas
adidas.com
 85
63
90
78
4
New Balance Numeric
nbnumeric.com
 83
49
81
69
5
Etnies
etnies.com
 73
56
73
67
6
Emerica
emerica.com
 73
44
80
64
7
DC Shoes
dcshoes.com
 74
20
61
46
8
Lakai
lakai.com
 68
23
58
46
9
Converse
converse.com
 82
8
47
34
10
éS
esskateboarding.com
 73
7
10
19
11
Globe
globebrand.com
 65
7
12
19
12
PUMA
puma.com
 80
8
8
19
13
HUF
hufworldwide.com
 73
7
7
18
14
Cariuma
cariuma.com
 67
7
7
17
15
DVS
dvsshoes.com
 59
6
6
15
16
O
Osiris
osirisshoes.com
 61
6
6
15
17
Supra
suprafootwear.com
 60
6
6
15
18
F
Fallen
fallenshoes.com
 54
5
5
14
19
iPath
ipath.com
 54
5
5
14
20
Last Resort AB
lastresortab.com
 54
5
7
14
21
Shoe Goo
shoegoo.com
 58
6
6
14
22
Vision Street Wear
visionstreetwear.com
 55
6
6
14
23
Airwalk
airwalk.com
 52
5
5
13
24
C1RCA
c1rca.com
 50
5
5
13
25
CCS
ccs.com
 49
5
5
12
26
Fallen Footwear
fallenfootwear.com
 49
5
5
12
27
Adio
adioshoes.com
 35
4
4
9
28
Macbeth Footwear
macbeth.com
 28
3
3
8
29
D
Dekline
deklinefootwear.com
 25
2
2
7
30
Straye
straye.com
 25
3
3
7
31
S
Savier
savier.com
 17
2
2
5
32
S
State Footwear
statefootwear.com
 19
2
2
5
33
FP Footwear
fpfootwear.com
 10
1
1
3

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Skate Shoe Brands 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 263 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 →