Key Takeaways:
As generative AI becomes an increasingly common starting point for product discovery, beauty brands are beginning to compete for visibility in a new arena: algorithmic recommendation. Consumers are now turning to AI assistants to ask questions about skincare routines, ingredient efficacy, and product recommendations, shifting parts of the discovery journey away from traditional search engines, retail shelves, and social media feeds. For brands, this raises a new strategic question: How visible are they within AI-generated responses?
New data from eMarketer AI Visibility Index offers an early snapshot of this emerging landscape. The Q1 2026 leaderboard tracks how often major personal care and beauty products appear in AI-generated product recommendations, revealing which companies are gaining traction within these discovery channels. The findings suggest that dermatologist-backed skincare brands, heritage prestige houses, and digitally native makeup companies are all competing for prominence as AI increasingly shapes how consumers research and choose beauty products.
According to the Q1 2026 Index, La Roche-Posay leads the overall leaderboard, appearing in 22% of beauty-related AI recommendations, followed closely by CeraVe at 20%. Both brands benefited from higher visibility than in the previous quarter, highlighting the continued strength of dermatologist-backed skincare brands within algorithm-driven discovery environments.
The remainder of the top five recommendations reflects a mix of mass and prestige brands. Neutrogena and Vanicream tied with 15% visibility, while Dior ranked fifth at 14%.
Rounding out the top 10 are Maybelline New York, L’Oréal Paris, Clinique, Chanel, and Fenty Beauty, underscoring how both heritage beauty houses and digitally native brands compete for prominence in AI-driven recommendations.
Dermatological Skincare Dominates
The category breakdown shows an even clearer pattern: clinical skincare brands dominate AI-generated recommendations. In facial skincare, La Roche-Posay appears in 81% of queries, followed by CeraVe at 71%, Neutrogena at 45%, and Vanicream at 41%.
Bodycare shows a similar hierarchy, led by CeraVe at 58%, followed closely by La Roche-Posay at 57%. The results reflect AI models’ tendency to prioritize brands with strong clinical positioning, dermatologist endorsements, and ingredient-led credibility—signals that often appear prominently across digital health and skincare content.
Prestige Brands Lead Fragrance and Haircare
While dermatological brands dominate skincare recommendations, prestige brands perform strongly in other categories. In fragrance, Chanel and Dior share the top position, both with 52% visibility, followed by Yves Saint Laurent, Tom Ford, and Maison Francis Kurkdjian.
Haircare recommendations show a similar prestige skew, with Kérastase leading 43%, ahead of Briogeo, Redken, and SheaMoisture. Meanwhile, color cosmetics reveal stronger competition among digitally native brands. Fenty Beauty leads face makeup recommendations at 35%, followed by Nars Cosmetics and Rare Beauty.
AI Visibility as the Next Competitive Battleground
The Index measures the percentage of AI-generated product recommendation queries in which a brand appears, providing a strong early signal of how generative AI tools are shaping brand discovery.
As AI-driven discovery becomes more influential, brands are beginning to rethink how they can optimize for algorithmic visibility. Unlike traditional search engine optimization, appearing in AI-generated recommendations often depends on the breadth and credibility of digital information surrounding a brand. Consistent product data, strong retailer presence, and authoritative content across platforms may also improve a brand’s presence within AI-generated answers. For beauty companies, this means visibility will increasingly depend on marketing and structured information, scientific credibility, and a robust digital knowledge footprint.
As consumers increasingly use AI assistants to research products, brand visibility in algorithmic recommendations could become as important as retail shelf placement or influencer marketing. The early results suggest that clinical credibility, a strong digital content ecosystem, and widespread product availability may influence how AI systems surface brands to consumers. In other words, AI discovery is quickly becoming beauty’s new form of retail real estate. Brands that appear most frequently in recommendations may gain a powerful advantage in the next phase of digital commerce.