Overview Leaderboard Methodology
Industry Report

Performance Running Apparel

Brands specializing in technical apparel designed for runners, including moisture-wicking tops, shorts, tights, and jackets.

Brands tracked: 37
Brands analyzed: 37
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 277
Total responses: 1,450
Top Brand Overall?
Nike
91/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike
100

Highest score on the LBA metric.

Authority Leader?
Nike
76

Highest score on the Authority metric.

TOM Leader?
Nike
100

Highest score on the TOM metric.

Nike is the default answer in AI responses for Performance Running Apparel

When users ask ChatGPT, Claude, or Gemini about Performance Running Apparel, Nike is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Brooks is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 37 Performance Running Apparel 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
 100
76
100
91
2
Brooks
brooksrunning.com
 85
39
86
66
3
Lululemon
lululemon.com
 88
27
83
58
4
adidas
adidas.com
 86
27
75
56
5
Tracksmith
tracksmith.com
 78
21
73
49
6
Janji
janji.com
 61
28
58
46
7
Patagonia
patagonia.com
 89
38
29
46
8
ASICS
asics.com
 91
10
71
40
9
Under Armour
underarmour.com
 66
16
50
37
10
Salomon
salomon.com
 81
9
31
28
11
On
on.com
 88
6
35
26
12
New Balance
newbalance.com
 84
1
31
15
13
Smartwool
smartwool.com
 79
5
0
6
14
Saucony
saucony.com
 79
0
22
3
15
HOKA
hoka.com
 87
0
15
2
16
rabbit
runinrabbit.com
 51
0
19
2
17
Satisfy
satisfyrunning.com
 75
0
10
2
18
Ciele Athletics
cieleathletics.com
 71
0
2
1
19
Odlo
odlo.com
 65
0
1
1
20
Oiselle
oiselle.com
 68
0
0
1
21
2XU
2xu.com
 78
0
0
0
22
A
ASHMEI
ashmei.com
 0
0
0
0
23
Bandit Running
banditrunning.com
 56
0
0
0
24
Compressport
compressport.com
 72
0
0
0
25
Craft Sportswear
craftsportswear.com
 63
0
0
0
26
District Vision
districtvision.com
 64
0
0
0
27
Dynafit
dynafit.com
 72
0
0
0
28
GOREWEAR
gorewear.com
 71
0
0
0
29
inov-8
inov8.com
 73
0
0
0
30
NNormal
nnormal.com
 63
0
0
0
31
PRESSIO
pressio.com
 29
0
0
0
32
RaidLight
raidlight.com
 58
0
0
0
33
Ronhill
ronhill.com
 69
0
0
0
34
SAYSKY
saysky.com
 69
0
0
0
35
SKINS
skinscompression.com
 60
0
0
0
36
S
SOAR Running
soarrunning.com
 65
0
0
0
37
T8
t8.run
 36
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 277 shared Performance Running Apparel 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 277 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 →