Overview Leaderboard Methodology
Industry Report

Sneaker Brands

Companies that design, manufacture, and market athletic and lifestyle sneakers central to sneaker culture and streetwear fashion.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Nike
96/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike
100

Highest score on the LBA metric in this industry.

Authority Leader?
Nike
88

Highest score on the Authority metric in this industry.

TOM Leader?
Nike
100

Highest score on the TOM metric in this industry.

Nike is the default answer in AI responses for Sneaker Brands

Nike and adidas together dominate AI responses for Sneaker 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 34 Sneaker 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
Nike
nike.com
 100
88
100
96
2
adidas
adidas.com
 100
77
90
89
3
New Balance
newbalance.com
 89
69
90
82
4
ASICS
asics.com
 87
32
83
62
5
PUMA
puma.com
 78
32
72
57
6
Converse
converse.com
 79
29
59
52
7
Reebok
reebok.com
 72
33
48
49
8
Vans
vans.com
 91
22
33
41
9
Salomon
salomon.com
 85
8
52
36
10
HOKA
hoka.com
 86
9
35
32
11
Jordan Brand
jordan.com
 88
9
28
30
12
Saucony
saucony.com
 80
8
24
27
13
On
on.com
 83
8
20
26
14
C
Common Projects
commonprojects.com
 79
21
8
25
15
Brooks
brooksrunning.com
 88
9
10
22
16
BAPE
bape.com
 81
8
8
20
17
G
Golden Goose
golden-goose.com
 79
8
8
19
18
Mizuno
mizuno.com
 78
8
8
19
19
Onitsuka Tiger
onitsukatiger.com
 81
8
8
19
20
Skechers
skechers.com
 79
8
8
19
21
Axel Arigato
axelarigato.com
 76
8
8
18
22
DC Shoes
dcshoes.com
 75
7
7
18
23
Fila
fila.com
 73
7
7
18
24
K-Swiss
kswiss.com
 73
7
7
18
25
Koio
koio.co
 73
7
7
18
26
Allbirds
allbirds.com
 70
7
7
17
27
Cariuma
cariuma.com
 70
7
7
17
28
Diadora
diadora.com
 67
7
7
17
29
Li-Ning
lining.com
 68
7
7
17
30
Veja
veja-store.com
 69
7
7
17
31
Anta
anta.com
 66
7
7
16
32
Ewing Athletics
ewingathletics.com
 62
6
6
15
33
Karhu
karhu.com
 63
6
6
15
34
Autry
autry-usa.com
 58
6
6
14

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Sneaker 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 269 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 →