Overview Leaderboard Methodology
Industry Report

Activewear Brands

Brands producing performance-focused everyday athletic clothing and lifestyle pieces for training and casual wear.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 281
Total responses: 1,435
Top Brand Overall?
Lululemon
86/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Nike
100

Highest score on the LBA metric in this industry.

Authority Leader?
Lululemon
64

Highest score on the Authority metric in this industry.

TOM Leader?
Lululemon
100

Highest score on the TOM metric in this industry.

Lululemon is the default answer in AI responses for Activewear Brands

When users ask ChatGPT, Claude, or Gemini about Activewear Brands, Lululemon is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Nike 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 36 Activewear 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
Lululemon
lululemon.com
 98
64
100
86
2
Nike
nike.com
 100
51
84
75
3
Athleta
athleta.com
 87
36
51
54
4
Vuori
vuori.com
 75
26
74
53
5
adidas
adidas.com
 97
16
61
47
6
Under Armour
underarmour.com
 69
20
58
44
7
Alo Yoga
aloyoga.com
 84
11
71
43
8
Gymshark
gymshark.com
 82
8
52
35
9
Patagonia
patagonia.com
 96
17
10
27
10
Outdoor Voices
outdoorvoices.com
 67
7
31
26
11
Girlfriend Collective
girlfriend.com
 71
25
7
25
12
Old Navy
oldnavy.com
 70
22
7
24
13
Beyond Yoga
beyondyoga.com
 77
8
12
21
14
Fabletics
fabletics.com
 70
7
13
20
15
2XU
2xu.com
 77
8
8
19
16
Rhone
rhone.com
 68
7
11
19
17
Set Active
setactive.co
 72
7
7
18
18
Sweaty Betty
sweatybetty.com
 70
7
9
18
19
Ten Thousand
tenthousand.cc
 72
7
8
18
20
Tracksmith
tracksmith.com
 75
8
8
18
21
Alphalete
alphaleteathletics.com
 68
7
7
17
22
Carbon38
carbon38.com
 70
7
7
17
23
CRZ Yoga
crzyoga.com
 59
6
10
17
24
Free People Movement
freepeople.com
 69
7
7
17
25
NOBULL
nobullproject.com
 68
7
7
17
26
P.E Nation
pe-nation.com
 70
7
7
17
27
Spiritual Gangster
spiritualgangster.com
 68
7
7
17
28
TALA
tala.co
 68
7
7
17
29
Varley
varley.com
 60
6
10
17
30
Halara
thehalara.com
 58
6
6
14
31
Splits59
splits59.com
 58
6
6
14
32
Adanola
adanola.com
 53
5
5
13
33
Onzie
onzie.com
 53
5
5
13
34
Maaree
maaree.com
 41
4
4
11
35
Year of Ours
yearofours.com
 44
4
4
11
36
LNDR
lndr.com
 34
3
3
9

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 281 shared Activewear 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 281 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 →