Overview Leaderboard Methodology
Industry Report

Basketball Shoes

High-performance basketball footwear designed for court traction, ankle support, cushioning, and stability, produced by brands that compete in professional and consumer basketball markets.

Brands tracked: 29
Brands analyzed: 29
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 239
Total responses: 87
Top Brand Overall?
Nike
5/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike
0

Highest score on the LBA metric.

Authority Leader?
Nike
100

Highest score on the Authority metric.

TOM Leader?
Nike
100

Highest score on the TOM metric.

Basketball Shoes is an emerging or highly fragmented category

No brand in Basketball Shoes scored above 40 on overall AI visibility. That means AI assistants do not currently recommend specific brands for this category with any consistency. Either the category is too new or too regional for the models to have converged on a default set of answers, or the queries users ask don't lend themselves to brand-specific responses.

Brand Leaderboard All 29 Basketball Shoes 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
Nike
nike.com
 0
100
100
5
2
adidas
adidas.com
 0
66
94
4
3
New Balance
newbalance.com
 0
51
79
3
4
PUMA
puma.com
 0
42
82
3
5
Under Armour
underarmour.com
 0
41
80
3
6
Anta
anta.com
 0
4
12
1
7
Li-Ning
lining.com
 0
15
13
1
8
Way of Wade
wayofwade.com
 0
3
18
1
9
361°
361usa.com
 0
0
0
0
10
AND1
and1.com
 0
0
0
0
11
APL
athleticpropulsionlabs.com
 0
0
0
0
12
Avia
avia.com
 0
0
0
0
13
B
Brandblack
brandblack.com
 0
0
0
0
14
Converse
converse.com
 0
0
0
0
15
E
ERKE
erke.com
 0
0
0
0
16
Ewing Athletics
ewingathletics.com
 0
0
0
0
17
Fila
fila.com
 0
0
0
0
18
K
K1X
k1x.com
 0
0
0
0
19
LA Gear
lagear.com
 0
0
0
0
20
Peak
peaksport.com
 0
0
0
0
21
Pony
pony.com
 0
0
0
0
22
Pro-Keds
prokeds.com
 0
0
0
0
23
Q
Q4 Sports
q4sports.com
 0
0
0
0
24
Reebok
reebok.com
 0
0
0
0
25
R
Rigorer
rigorer.com
 0
0
0
0
26
Serious Player Only
seriousplayeronly.com
 0
0
0
0
27
Skechers
skechers.com
 0
0
0
0
28
Tarmak
decathlon.com
 0
0
0
0
29
X
Xtep
xtep.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 239 shared Basketball Shoes 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 239 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 →