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 in this industry.

Authority Leader?
Chanel
37

Highest score on the Authority metric in this industry.

TOM Leader?
Chanel
100

Highest score on the TOM metric in this industry.

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 (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
Chanel
chanel.com
 100
37
100
72
2
Dior
dior.com
 92
36
86
67
3
Gucci
gucci.com
 100
29
76
61
4
Hermès
hermes.com
 100
23
87
60
5
Prada
prada.com
 100
24
66
55
6
Louis Vuitton
louisvuitton.com
 100
16
87
54
7
Saint Laurent
ysl.com
 90
20
67
50
8
Balenciaga
balenciaga.com
 93
14
55
43
9
Bottega Veneta
bottegaveneta.com
 95
11
53
41
10
Valentino
valentino.com
 89
14
47
40
11
Celine
celine.com
 87
9
50
36
12
Loro Piana
loropiana.com
 89
20
19
33
13
The Row
therow.com
 87
37
9
33
14
Givenchy
givenchy.com
 84
8
33
31
15
Fendi
fendi.com
 93
9
24
30
16
Loewe
loewe.com
 83
8
25
28
17
Brunello Cucinelli
brunellocucinelli.com
 88
15
13
27
18
Maison Margiela
maisonmargiela.com
 88
9
22
27
19
Versace
versace.com
 91
9
17
26
20
Burberry
burberry.com
 84
8
15
24
21
Dolce&Gabbana
dolcegabbana.com
 100
10
10
24
22
Miu Miu
miumiu.com
 85
8
15
24
23
Alexander McQueen
alexandermcqueen.com
 91
9
9
22
24
Dries Van Noten
driesvannoten.com
 94
9
9
22
25
Oscar de la Renta
oscardelarenta.com
 93
9
9
22
26
Vivienne Westwood
viviennewestwood.com
 90
9
9
22
27
Balmain
balmain.com
 86
9
9
21
28
Emporio Armani
armani.com
 88
9
9
21
29
Alaïa
maison-alaia.com
 82
8
8
20
30
Elie Saab
eliesaab.com
 84
8
8
20
31
Mugler
mugler.com
 84
8
8
20
32
Schiaparelli
schiaparelli.com
 75
10
8
20
33
Thom Browne
thombrowne.com
 85
8
8
20
34
Lanvin
lanvin.com
 71
7
7
17

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
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 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 →