Overview Leaderboard Methodology
Industry Report

Designer Fragrances

Fragrances created and marketed by major luxury fashion houses, typically sold at department stores and brand boutiques.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
Dior
80/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Prada
96

Highest score on the LBA metric in this industry.

Authority Leader?
Dior
61

Highest score on the Authority metric in this industry.

TOM Leader?
Dior
100

Highest score on the TOM metric in this industry.

Dior leads the Designer Fragrances category in AI responses

Dior is the most consistently-surfaced brand when users ask AI assistants about Designer Fragrances, but not to the point of monopolising the conversation. Chanel 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 35 Designer Fragrances 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
Dior
dior.com
 85
61
100
80
2
Chanel
chanel.com
 93
42
100
74
3
Yves Saint Laurent
yslbeauty.com
 95
39
85
68
4
Prada
prada.com
 96
18
63
49
5
Saint Laurent
ysl.com
 87
9
66
40
6
Versace
versace.com
 94
11
53
40
7
Tom Ford
tomford.com
 87
9
61
39
8
Giorgio Armani
armanibeauty.com
 87
9
57
38
9
Hermès
hermes.com
 94
9
36
34
10
Maison Francis Kurkdjian
maisonfranciskurkdjian.com
 89
9
22
28
11
Givenchy
givenchy.com
 79
8
24
27
12
Jean Paul Gaultier
jeanpaulgaultier.com
 94
9
17
27
13
Gucci
gucci.com
 90
9
17
26
14
Lancôme
lancome.com
 81
8
19
25
15
Valentino
valentino.com
 76
8
22
25
16
Maison Margiela
maisonmargiela.com
 86
9
12
23
17
Bulgari
bulgari.com
 93
9
9
22
18
Carolina Herrera
carolinaherrera.com
 80
8
13
22
19
Dolce&Gabbana
dolcegabbana.com
 89
9
9
21
20
Emporio Armani
armani.com
 87
9
9
21
21
Issey Miyake
isseymiyake.com
 89
9
9
21
22
Rabanne
rabanne.com
 86
9
9
21
23
Viktor&Rolf
viktor-rolf.com
 87
9
9
21
24
Calvin Klein
calvinklein.com
 83
8
8
20
25
Loewe
loewe.com
 82
8
8
20
26
Marc Jacobs
marcjacobs.com
 84
8
8
20
27
Mugler
mugler.com
 84
8
8
20
28
Narciso Rodriguez
narcisorodriguez.com
 84
8
8
20
29
Oscar de la Renta
oscardelarenta.com
 85
9
9
20
30
Chloé
chloe.com
 77
8
8
19
31
Elie Saab
eliesaab.com
 79
8
8
19
32
Jimmy Choo
jimmychoo.com
 80
8
8
19
33
Azzaro
azzaro.com
 73
7
7
18
34
Burberry
burberry.com
 74
7
8
18
35
Zadig&Voltaire
zadig-et-voltaire.com
 75
8
8
18

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Designer Fragrances 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 275 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 →