Love skincare?
Illustrative example of how a recommendation is explained. Not medical advice and not a real SkinAI output; profiles and rankings are simplified and have not been clinically validated.
of recent US skincare buyers are interested in AI-powered shopping tools.
of US beauty shoppers trust ratings and reviews. Evidence earns trust.
trust in-store specialists' recommendations. People trust proof, not pitches. SkinAI shows its reasoning.
Survey figures come from separate studies with different samples and question wording, so they should not be compared directly. Vendor-published research is labelled as such.
Answer once. Your skin profile is remembered, so the next brand starts where the last one left off.
89% of US beauty shoppers trust reviews; fewer than 3 in 10 trust in-store specialists. People trust proof, not pitches, so every SkinAI pick shows its reasoning.PowerReviews, 2023 · vendor research
Rate what works and what doesn't. Your picks get sharper over time, and known allergens are kept out.
We're onboarding our first 10 brands. Tell us about yours and we'll reach out personally.
Thanks. We'll be in touch personally within a few days.