Overview Leaderboard Methodology
Industry Report

Luxury Handbag Brands

Brands specializing in high-end leather handbags and accessories celebrated for craftsmanship, signature styles, and strong resale value.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Hermès
81/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Hermès
100

Highest score on the LBA metric in this industry.

Authority Leader?
Louis Vuitton
53

Highest score on the Authority metric in this industry.

TOM Leader?
Hermès
100

Highest score on the TOM metric in this industry.

Hermès leads the Luxury Handbag Brands category in AI responses

Hermès is the most consistently-surfaced brand when users ask AI assistants about Luxury Handbag Brands, but not to the point of monopolising the conversation. Louis Vuitton 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 33 Luxury Handbag 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
Hermès
hermes.com
 100
52
100
81
2
Louis Vuitton
louisvuitton.com
 100
53
86
77
3
Chanel
chanel.com
 100
38
93
71
4
Prada
prada.com
 96
28
73
59
5
Gucci
gucci.com
 100
22
74
56
6
Celine
celine.com
 87
23
74
54
7
Saint Laurent
ysl.com
 93
24
60
52
8
Bottega Veneta
bottegaveneta.com
 94
17
72
50
9
Dior
dior.com
 93
9
74
43
10
Loewe
loewe.com
 91
17
29
37
11
Fendi
fendi.com
 85
9
50
35
12
Coach
coach.com
 89
36
9
33
13
The Row
therow.com
 90
18
9
26
14
Tory Burch
toryburch.com
 77
23
8
26
15
Givenchy
givenchy.com
 88
9
9
21
16
Valentino
valentino.com
 87
9
9
21
17
Balenciaga
balenciaga.com
 84
8
8
20
18
Goyard
goyard.com
 83
8
9
20
19
Longchamp
longchamp.com
 84
8
8
20
20
Polène
polene-paris.com
 71
12
7
20
21
Loro Piana
loropiana.com
 80
8
8
19
22
Miu Miu
miumiu.com
 79
8
8
19
23
Mulberry
mulberry.com
 76
8
8
18
24
Valextra
valextra.com
 72
7
7
18
25
Aspinal of London
aspinaloflondon.com
 71
7
7
17
26
Delvaux
delvaux.com
 66
7
8
17
27
Moynat
moynat.com
 69
7
7
17
28
Strathberry
strathberry.com
 68
7
7
17
29
Wandler
wandler.com
 68
7
7
17
30
Mark Cross
markcross.com
 65
6
6
16
31
DeMellier
demellierlondon.com
 60
6
6
15
32
Métier
metier.com
 55
6
6
14
33
Savette
savette.com
 48
5
5
12

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Luxury Handbag 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 263 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 →