How does AskLLM measure LLM visibility for D2C skincare?

We run 6 prompts (8 with a competitor) on ChatGPT 5 and Gemini 2.5 Flash-Lite. LVI = (0.35 × Visibility) + (0.2 × Favorability) + (0.15 × Factuality) + (0.15 × Actionability) + (0.15 × Consistency). Factuality is not measured: its weight is reserved and contributes 0, so the attainable maximum is 85.

Which brands dominate d2c skincare prompts in generative search today?

Incumbent leaders in this snapshot are derived from specialist audit baselines and public category research. Run a named-competitor audit to see how your client compares on the same prompt pack.

Can agencies use this d2c skincare benchmark in client pitches?

Yes. Export the sector pitch sheet, copy individual prompts, and link to a live audit with the category pre-selected for repeatable QBR reporting.

[ SECTOR: D2C SKINCARE ] · 6 PROMPTS (8 WITH A COMPETITOR) · UPDATED JUL 2026

Agency-ready sector briefing for D2C skincare

6 prompts (8 with a competitor) · 2 LLMs MonitoredIndustry benchmarks

D2C skincare

Skincare consideration sets are concern-owned, not brand-owned — retinol tolerance, barrier repair, and SPF reapplication dominate generative answers. Measurement must track symptom-specific retrieval, not homepage keyword rank.

Audited by AskLLM Sector Intelligence Team · Updated Jul 2026

Concern ownership
Derm-backed claims
SPF & barrier repair

Prompt playbook

Buyer-intent vectors your clients compete on in generative shortlists. Copy into pitch decks or run live in ChatGPT 5 and Gemini 2.5 Flash-Lite.

ChatGPT 5Gemini 2.5 Flash-Lite
“Best retinol serum for sensitive skin that minimizes peeling?”
ChatGPT 5Gemini 2.5 Flash-Lite
“Moisturizer for oily acne-prone skin — dermatologist-backed options?”
ChatGPT 5Gemini 2.5 Flash-Lite
“Mineral SPF for melasma-safe daily wear?”

Live sector leaderboard

Share of voice (D2C skincare)

Full leaderboard →

CeraVe
Category incumbent
36%
The Ordinary
High recall
29%
La Roche-Posay
Moderate recall
21%
Unclaimed visibility gapClaim this gap for your client →
Unclaimed visibility gap
14%

Directional benchmark for d2c skincare buyer prompts. Re-audit to track movement.

Citation sources models weight

Run the same prompt matrix on your client's brand and named competitor, scored across ChatGPT 5 and Gemini 2.5 Flash-Lite in under two minutes.

Pre-configured with 6 prompts (8 with a competitor)

Uses 1 credit · ~2 min setup

How LVI scoring works · Browse all categories

Category FAQ

How does AskLLM measure LLM visibility for D2C skincare?: We run 6 prompts (8 with a competitor) on ChatGPT 5 and Gemini 2.5 Flash-Lite. LVI = (0.35 × Visibility) + (0.2 × Favorability) + (0.15 × Factuality) + (0.15 × Actionability) + (0.15 × Consistency). Factuality is not measured: its weight is reserved and contributes 0, so the attainable maximum is 85.
Which brands dominate d2c skincare prompts in generative search today?: Incumbent leaders in this snapshot are derived from specialist audit baselines and public category research. Run a named-competitor audit to see how your client compares on the same prompt pack.
Can agencies use this d2c skincare benchmark in client pitches?: Yes. Export the sector pitch sheet, copy individual prompts, and link to a live audit with the category pre-selected for repeatable QBR reporting.