Overview Leaderboard Methodology
Industry Report

Lipsticks & Lip Glosses

Color and shine products for the lips including bullet lipsticks, liquid lipsticks, stains, and glosses in a range of finishes.

Brands tracked: 36
Brands analyzed: 36
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 277
Total responses: 1,427
Top Brand Overall?
Fenty Beauty
54/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
MAC Cosmetics
95

Highest score on the LBA metric in this industry.

Authority Leader?
Charlotte Tilbury
24

Highest score on the Authority metric in this industry.

TOM Leader?
Fenty Beauty
78

Highest score on the TOM metric in this industry.

Lipsticks & Lip Glosses is a highly fragmented category in AI responses

Even the top-ranked brand (Fenty Beauty at 54/100) is mentioned inconsistently when users ask AI assistants about Lipsticks & Lip Glosses. Only 3 brands in this category scored above 40. Categories often land here for two reasons: the space is dominated by local or niche players no single AI model has strong training on, or it's a services-heavy category (agencies, consultants) where AI assistants tend not to name specific brands regardless of reputation.

Brand Leaderboard All 36 Lipsticks & Lip Glosses 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
Fenty Beauty
fentybeauty.com
 94
20
78
54
2
Charlotte Tilbury
charlottetilbury.com
 88
24
67
53
3
Dior
dior.com
 85
17
74
49
4
NARS
narscosmetics.com
 89
9
56
38
5
Revlon
revlon.com
 69
13
32
32
6
Clinique
clinique.com
 75
10
34
31
7
Buxom
buxomcosmetics.com
 75
8
38
30
8
Rare Beauty
rarebeauty.com
 85
9
28
29
9
Yves Saint Laurent
yslbeauty.com
 91
9
17
26
10
Pat McGrath Labs
patmcgrath.com
 84
8
18
25
11
Glossier
glossier.com
 85
8
15
24
12
MAC Cosmetics
maccosmetics.com
 95
10
10
23
13
Bobbi Brown
bobbibrowncosmetics.com
 82
8
10
21
14
e.l.f. Cosmetics
elfcosmetics.com
 90
9
9
21
15
Huda Beauty
hudabeauty.com
 87
9
9
21
16
Milani
milanicosmetics.com
 83
8
10
21
17
NYX Professional Makeup
nyxcosmetics.com
 90
9
9
21
18
Burt’s Bees
burtsbees.com
 76
8
11
20
19
Lime Crime
limecrime.com
 83
8
8
20
20
Maybelline New York
maybelline.com
 82
8
8
20
21
rom&nd
romand.us
 85
9
9
20
22
Too Faced
toofaced.com
 84
8
8
20
23
Jeffree Star Cosmetics
jeffreestarcosmetics.com
 78
8
8
19
24
KIKO Milano
kikocosmetics.com
 77
8
8
19
25
Kylie Cosmetics
kyliecosmetics.com
 78
8
8
19
26
Tower 28 Beauty
tower28beauty.com
 81
8
8
19
27
ColourPop
colourpop.com
 76
8
8
18
28
Juvia's Place
juviasplace.com
 73
7
7
18
29
KVD Beauty
kvdbeauty.com
 72
7
7
18
30
Lipstick Queen
lipstickqueen.com
 73
7
7
18
31
Dose of Colors
doseofcolors.com
 68
7
7
17
32
Mented Cosmetics
mentedcosmetics.com
 70
7
7
17
33
Beauty Bakerie
beautybakerie.com
 66
7
7
16
34
Sunnies Face
sunniesface.com
 63
6
6
16
35
Black Radiance
blackradiancebeauty.com
 54
5
5
14
36
Florasis
florasis.com
 55
5
5
14

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 277 shared Lipsticks & Lip Glosses 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 277 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 →