Overview Leaderboard Methodology
Industry Report

Mascaras & Brow Products

Formulated mascaras, brow gels, pencils, and pomades that enhance eyelashes and define or fill in eyebrows.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
L’Oréal
59/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
L'Oréal Paris
96

Highest score on the LBA metric.

Authority Leader?
L’Oréal
45

Highest score on the Authority metric.

TOM Leader?
Lancôme
69

Highest score on the TOM metric.

Mascaras & Brow Products has no dominant brand in AI responses

L’Oréal is the top-ranked brand here, but its overall score of 59 reflects a competitive field rather than a dominant player. AI assistants answer category questions about Mascaras & Brow Products 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 33 Mascaras & Brow Products 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
L’Oréal
loreal.com
 88
45
53
59
2
Lancôme
lancome.com
 89
26
69
54
3
Clinique
clinique.com
 81
34
26
42
4
Anastasia Beverly Hills
anastasiabeverlyhills.com
 91
19
35
39
5
Too Faced
toofaced.com
 82
7
49
31
6
Covergirl
covergirl.com
 82
11
10
21
7
ILIA
iliabeauty.com
 74
6
17
20
8
Tarte
tartecosmetics.com
 78
10
7
18
9
Dior
dior.com
 86
1
44
16
10
Glossier
glossier.com
 82
3
14
15
11
Hourglass
hourglasscosmetics.com
 82
2
14
13
12
essence
essence.eu
 81
10
2
12
13
Benefit Cosmetics
benefitcosmetics.com
 79
2
6
11
14
Kosas
kosas.com
 72
0
36
3
15
REFY
refybeauty.com
 71
0
26
3
16
Thrive Causemetics
thrivecausemetics.com
 75
0
29
3
17
MERIT
meritbeauty.com
 68
0
7
2
18
Blinc
blincinc.com
 71
1
0
1
19
e.l.f. Cosmetics
elfcosmetics.com
 91
0
2
1
20
Grande Cosmetics
grandecosmetics.com
 65
0
3
1
21
KVD Beauty
kvdbeauty.com
 74
0
1
1
22
Milk Makeup
milkmakeup.com
 77
0
4
1
23
NYX Professional Makeup
nyxcosmetics.com
 90
0
2
1
24
Rare Beauty
rarebeauty.com
 80
0
1
1
25
WUNDERBROW
wunder2.com
 67
0
0
1
26
Billion Dollar Brows
billiondollarbrows.com
 64
0
0
0
27
Brow Code
browcode.com
 56
0
0
0
28
Eyeko
eyeko.com
 57
0
0
0
29
L'Oréal Paris
lorealparisusa.com
 96
0
0
0
30
Maybelline New York
maybelline.com
 95
0
0
0
31
RevitaLash Cosmetics
revitalash.com
 63
0
0
0
32
Rimmel London
rimmellondon.com
 69
0
0
0
33
Tower 28 Beauty
tower28beauty.com
 49
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Mascaras & Brow Products 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 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 →