How does AskLLM measure LLM visibility for Cosmetics?

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 cosmetics 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 cosmetics 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: COSMETICS ] · 6 PROMPTS (8 WITH A COMPETITOR) · UPDATED JUL 2026

Agency-ready sector briefing for Cosmetics

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

Cosmetics

Color cosmetics and complexion products compete on shade inclusivity, clean-label claims, and long-wear performance in conversational discovery. Generative engines privilege brands repeatedly associated with specific finish and skin-tone outcomes.

Audited by AskLLM Sector Intelligence Team · Updated Jul 2026

Shade inclusivity
Clean-label claims
Long-wear performance

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 long-wear foundation for oily skin — inclusive shades?”
ChatGPT 5Gemini 2.5 Flash-Lite
“Clean mascara without flaking for sensitive eyes?”
ChatGPT 5Gemini 2.5 Flash-Lite
“Cream blush for mature skin that does not settle in lines?”

Live sector leaderboard

Share of voice (Cosmetics)

Full leaderboard →

Fenty Beauty
Category incumbent
31%
Rare Beauty
High recall
27%
MAC
Moderate recall
18%
Unclaimed visibility gapClaim this gap for your client →
Unclaimed visibility gap
24%

Directional benchmark for cosmetics 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 Cosmetics?: 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 cosmetics 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 cosmetics 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.