Overview Leaderboard Methodology
Industry Report

Luxury Fashion Houses

Heritage designer brands known for couture, ready-to-wear collections, and iconic fashion shows that define high-fashion trends.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
Chanel
72/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Chanel
100

Highest score on the LBA metric.

Authority Leader?
Chanel
37

Highest score on the Authority metric.

TOM Leader?
Chanel
100

Highest score on the TOM metric.

Chanel leads the Luxury Fashion Houses category in AI responses

Chanel is the most consistently-surfaced brand when users ask AI assistants about Luxury Fashion Houses, but not to the point of monopolising the conversation. Dior and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 34 Luxury Fashion Houses 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
Chanel
chanel.com
 100
37
100
72
2
Dior
dior.com
 92
36
86
66
3
Gucci
gucci.com
 100
29
76
60
4
Hermès
hermes.com
 100
23
87
59
5
Louis Vuitton
louisvuitton.com
 100
16
87
52
6
Prada
prada.com
 100
20
66
51
7
Saint Laurent
ysl.com
 90
20
67
49
8
Balenciaga
balenciaga.com
 93
14
55
42
9
Bottega Veneta
bottegaveneta.com
 95
11
53
39
10
Valentino
valentino.com
 89
14
47
38
11
Loro Piana
loropiana.com
 89
20
19
32
12
The Row
therow.com
 87
37
7
29
13
Brunello Cucinelli
brunellocucinelli.com
 88
15
13
26
14
Celine
celine.com
 87
4
50
26
15
Loewe
loewe.com
 83
5
25
22
16
Maison Margiela
maisonmargiela.com
 88
4
22
20
17
Schiaparelli
schiaparelli.com
 75
10
6
16
18
Burberry
burberry.com
 84
2
15
14
19
Alexander McQueen
alexandermcqueen.com
 91
4
6
13
20
Versace
versace.com
 91
1
17
13
21
Miu Miu
miumiu.com
 85
1
15
11
22
Elie Saab
eliesaab.com
 84
1
4
8
23
Givenchy
givenchy.com
 84
0
33
6
24
Fendi
fendi.com
 93
0
24
3
25
Alaïa
maison-alaia.com
 82
0
0
0
26
Balmain
balmain.com
 86
0
0
0
27
Dolce&Gabbana
dolcegabbana.com
 100
0
0
0
28
Dries Van Noten
driesvannoten.com
 94
0
0
0
29
Emporio Armani
armani.com
 88
0
0
0
30
Lanvin
lanvin.com
 71
0
0
0
31
Mugler
mugler.com
 84
0
0
0
32
Oscar de la Renta
oscardelarenta.com
 93
0
0
0
33
Thom Browne
thombrowne.com
 85
0
0
0
34
Vivienne Westwood
viviennewestwood.com
 90
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Luxury Fashion Houses 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 269 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 →