Overview Leaderboard Methodology
Industry Report

Luxury Footwear Brands

Designers and maisons producing premium shoes and boots, often combining artisanal shoemaking with fashion-forward design.

Brands tracked: 38
Brands analyzed: 38
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 293
Total responses: 1,505
Top Brand Overall?
John Lobb
67/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Prada
100

Highest score on the LBA metric.

Authority Leader?
John Lobb
42

Highest score on the Authority metric.

TOM Leader?
John Lobb
82

Highest score on the TOM metric.

Luxury Footwear Brands has no dominant brand in AI responses

John Lobb is the top-ranked brand here, but its overall score of 67 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Luxury Footwear Brands with varied recommendations from query to query - users get a different set of suggestions each time. This is the kind of category where mid-tier brands still have room to move up.

Brand Leaderboard All 38 Luxury Footwear Brands 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
John Lobb
johnlobb.com
 89
42
82
67
2
Gucci
gucci.com
 99
24
60
53
3
Edward Green
edwardgreen.com
 85
21
60
48
4
Crockett & Jones
crockettandjones.com
 76
27
51
47
5
Christian Louboutin
christianlouboutin.com
 88
7
79
37
6
Berluti
berluti.com
 77
11
56
36
7
Prada
prada.com
 100
11
45
36
8
A
Alden
aldenshoe.com
 80
12
31
31
9
Saint Laurent
ysl.com
 88
11
32
31
10
Ferragamo
ferragamo.com
 82
8
36
29
11
Santoni
santonishoes.com
 73
6
43
26
12
Jimmy Choo
jimmychoo.com
 88
3
59
25
13
C
Common Projects
commonprojects.com
 72
11
17
24
14
Manolo Blahnik
manoloblahnik.com
 87
2
64
22
15
Gaziano & Girling
gazianogirling.com
 78
3
32
19
16
Bottega Veneta
bottegaveneta.com
 93
2
27
17
17
Loro Piana
loropiana.com
 82
1
29
14
18
Brunello Cucinelli
brunellocucinelli.com
 85
2
10
12
19
Amina Muaddi
aminamuaddi.com
 79
0
26
3
20
Aquazzura
aquazzura.com
 71
0
3
1
21
Church's
church-footwear.com
 77
0
0
1
22
Gianvito Rossi
gianvitorossi.com
 87
0
3
1
23
Roger Vivier
rogervivier.com
 79
0
2
1
24
Sergio Rossi
sergiorossi.com
 73
0
2
1
25
Stuart Weitzman
stuartweitzman.com
 76
0
0
1
26
Tod's
tods.com
 81
0
0
1
27
Alexandre Birman
alexandrebirman.com
 76
0
0
0
28
Bally
bally.com
 69
0
0
0
29
Brother Vellies
brothervellies.com
 62
0
0
0
30
Carel
carel.fr
 56
0
0
0
31
Fratelli Rossetti
fratellirossetti.com
 72
0
0
0
32
Giuseppe Zanotti
giuseppezanotti.com
 78
0
0
0
33
Le Monde Beryl
lemondeberyl.com
 42
0
0
0
34
Malone Souliers
malonesouliers.com
 73
0
0
0
35
N
Nicholas Kirkwood
nicholaskirkwood.com
 70
0
0
0
36
Paris Texas
paristexasbrand.com
 62
0
0
0
37
Pierre Hardy
pierrehardy.com
 71
0
0
0
38
René Caovilla
renecaovilla.com
 82
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 293 shared Luxury Footwear 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
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 293 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 →