Industry Report

Dermocosmetic Anti-Aging Serums

Advanced serums targeting signs of aging—such as wrinkles, loss of firmness, and hyperpigmentation—sold by clinically positioned skincare brands and often recommended by dermatologists.

Brands tracked: 42
Brands analyzed: 42
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 317
Total responses: 1,645
Top Brand Overall?
La Roche-Posay
78/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
La Roche-Posay
95

Highest score on the LBA metric.

Authority Leader?
The Ordinary
60

Highest score on the Authority metric.

TOM Leader?
SkinCeuticals
100

Highest score on the TOM metric.

La Roche-Posay leads the Dermocosmetic Anti-Aging Serums category in AI responses

La Roche-Posay is the most consistently-surfaced brand when users ask AI assistants about Dermocosmetic Anti-Aging Serums, but not to the point of monopolising the conversation. SkinCeuticals 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 42 Dermocosmetic Anti-Aging Serums 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

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 317 shared Dermocosmetic Anti-Aging Serums 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 317 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 →