Overview Leaderboard Methodology
Industry Report

Lifestyle Footwear

Brands producing casual, fashion-forward shoes and collaborations that blur athletic and street-style aesthetics.

Brands tracked: 43
Brands analyzed: 43
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 323
Total responses: 1,680
Top Brand Overall?
Nike
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?
New Balance
68

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 Lifestyle Footwear

Nike and New Balance together dominate AI responses for Lifestyle Footwear. 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 43 Lifestyle Footwear 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
63
100
86
2
New Balance
newbalance.com
 88
68
83
79
3
adidas
adidas.com
 96
55
86
77
4
PUMA
puma.com
 92
20
58
48
5
Converse
converse.com
 79
16
59
43
6
ASICS
asics.com
 83
15
51
41
7
Vans
vans.com
 80
16
49
41
8
C
Common Projects
commonprojects.com
 76
14
52
39
9
Veja
veja-store.com
 72
17
48
39
10
Reebok
reebok.com
 73
10
47
34
11
On
on.com
 81
9
25
28
12
Salomon
salomon.com
 86
9
24
28
13
HOKA
hoka.com
 83
8
17
24
14
Birkenstock
birkenstock.com
 82
8
14
23
15
Clarks
clarks.com
 82
8
14
23
16
Axel Arigato
axelarigato.com
 71
7
17
22
17
Cole Haan
colehaan.com
 88
9
9
21
18
Ecco
ecco.com
 89
9
9
21
19
G
Golden Goose
golden-goose.com
 81
8
8
20
20
Skechers
skechers.com
 82
8
8
20
21
Camper
camper.com
 77
8
8
19
22
Onitsuka Tiger
onitsukatiger.com
 71
7
8
18
23
Superga
superga.com
 74
7
7
18
24
Cariuma
cariuma.com
 70
7
7
17
25
Eytys
eytys.com
 68
7
7
17
26
Filling Pieces
fillingpieces.com
 70
7
7
17
27
Gola
gola.co.uk
 67
7
7
17
28
Keds
keds.com
 71
7
7
17
29
Native Shoes
nativeshoes.com
 71
7
7
17
30
Tretorn
tretorn.com
 70
7
7
17
31
Diemme
diemme.com
 65
7
7
16
32
Globe
globebrand.com
 65
7
7
16
33
Karhu
karhu.com
 67
7
7
16
34
Koio
koio.co
 62
6
7
16
35
Supra
suprafootwear.com
 63
6
6
16
36
Autry
autry-usa.com
 60
6
6
15
37
GREATS
greats.com
 61
6
6
15
38
Novesta
novesta.sk
 62
6
6
15
39
S
Stepney Workers Club
swcshoes.com
 59
6
6
15
40
Clae
clae.com
 58
6
6
14
41
P448
p448.com
 56
6
6
14
42
Alohas
alohas.com
 54
5
5
13
43
HOFF
thehoffbrand.com
 43
4
4
11

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 323 shared Lifestyle Footwear 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 323 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 →