Overview Leaderboard Methodology
Industry Report

Anti-Dandruff & Scalp Treatments

Medicated and targeted shampoos and scalp treatments designed to treat dandruff, seborrheic dermatitis, and related scalp conditions.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
Nizoral
90/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Kérastase
87

Highest score on the LBA metric.

Authority Leader?
Nizoral
97

Highest score on the Authority metric.

TOM Leader?
Nizoral
100

Highest score on the TOM metric.

Nizoral is the default answer in AI responses for Anti-Dandruff & Scalp Treatments

Nizoral and Head & Shoulders together dominate AI responses for Anti-Dandruff & Scalp Treatments. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 32 Anti-Dandruff & Scalp Treatments 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
Nizoral
nizoral.com
 76
97
100
90
2
Head & Shoulders
headandshoulders.com
 81
89
96
88
3
Neutrogena
neutrogena.com
 81
62
84
75
4
Selsun Blue
selsunblue.com
 74
39
66
57
5
Vanicream
vanicream.com
 61
19
28
32
6
D
DHS
dhsshampoo.com
 34
16
55
31
7
D
DHS Zinc Shampoo
dhsbrands.com
 43
9
28
22
8
Dove
dove.com
 74
2
39
17
9
Briogeo
briogeohair.com
 72
2
14
12
10
Kérastase
kerastase.com
 87
0
7
2
11
Bioderma Nodé
bioderma.com
 62
0
2
1
12
Dermarest
dermarest.com
 54
0
1
1
13
Philip Kingsley
philipkingsley.com
 58
0
1
1
14
Sachajuan
sachajuan.com
 58
0
2
1
15
As I Am
asiamnaturally.com
 73
0
0
0
16
Avalon Organics
avalonorganics.com
 56
0
0
0
17
Aveda
aveda.com
 60
0
0
0
18
C
Capasal
capsal.co.uk
 29
0
0
0
19
Davines
davines.com
 65
0
0
0
20
Denorex
denorex.com
 59
0
0
0
21
DS Laboratories
dslaboratories.com
 57
0
0
0
22
Ducray
ducray.com
 79
0
0
0
23
Eucerin
eucerin.com
 70
0
0
0
24
Happy Cappy
happycappyshampoo.com
 55
0
0
0
25
Jupiter
hellojupiter.com
 54
0
0
0
26
La Roche-Posay Kerium
laroche-posay.com
 66
0
0
0
27
Polytar
polytar.co.uk
 42
0
0
0
28
Scalpicin
scalpicin.com
 39
0
0
0
29
Sebamed
sebamed.com
 62
0
0
0
30
S
Sebcur
sebcur.co.za
 7
0
0
0
31
The Body Shop
thebodyshop.com
 61
0
0
0
32
Vichy
vichy.com
 77
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared Anti-Dandruff & Scalp Treatments 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 257 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 →