Overview Leaderboard Methodology
Industry Report

Running Shoes

Athletic footwear brands for road, trail, and race-day running.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 245
Total responses: 1,225
Top Brand Overall?
Brooks
89/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike
100

Highest score on the LBA metric.

Authority Leader?
Brooks
89

Highest score on the Authority metric.

TOM Leader?
Nike
96

Highest score on the TOM metric.

Brooks is the default answer in AI responses for Running Shoes

Brooks and ASICS together dominate AI responses for Running Shoes. 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 30 Running 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
Brooks
brooksrunning.com
 86
89
91
89
2
ASICS
asics.com
 88
85
90
87
3
Nike
nike.com
 100
48
96
77
4
HOKA
hoka.com
 87
44
89
70
5
Saucony
saucony.com
 83
49
84
70
6
New Balance
newbalance.com
 95
46
72
68
7
adidas
adidas.com
 93
13
57
41
8
Salomon
salomon.com
 80
4
15
17
9
Mizuno
mizuno.com
 89
1
36
15
10
Altra
altrarunning.com
 75
0
17
8
11
On
on.com
 76
0
34
3
12
La Sportiva
lasportiva.com
 80
0
10
2
13
PUMA
puma.com
 76
0
17
2
14
Topo Athletic
topoathletic.com
 74
0
1
1
15
361°
361usa.com
 49
0
0
0
16
Craft
craft.do
 53
0
0
0
17
Diadora
diadora.com
 61
0
0
0
18
inov-8
inov8.com
 77
0
0
0
19
Joe Nimble
joenimble.com
 47
0
0
0
20
Karhu
karhu.com
 59
0
0
0
21
Li-Ning
lining.com
 65
0
0
0
22
Merrell
merrell.com
 78
0
0
0
23
Newton Running
newtonrunning.com
 58
0
0
0
24
NNormal
nnormal.com
 58
0
0
0
25
norda
norda.com
 68
0
0
0
26
Skechers
skechers.com
 81
0
0
0
27
Speedland
runspeedland.com
 50
0
0
0
28
Tracksmith
tracksmith.com
 60
0
0
0
29
Under Armour
underarmour.com
 72
0
0
0
30
X
Xtep
xtep.com
 57
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 245 shared Running 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 245 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 →