How a Leading Skincare Brand Became a Top AI Recommendation for “Best Niacinamide Serum in India”

A leading Indian D2C skincare brand focused on ingredient-led formulations across serums, moisturizers, and targeted treatments, operating in a highly competitive and education-driven category.

Consumers increasingly rely on AI systems to discover and evaluate skincare products: • "Best niacinamide serum in India" • "Which serum is best for acne scars" • "Is this brand good for sensitive skin" AI answers now act as a primary discovery and recommendation layer.

• Inconsistent presence across high-intent queries • Limited visibility in ingredient-based recommendations • Mixed sentiment across AI responses • Weak presence in community-driven sources

1. Authority & Citation Layer Improved presence across editorial, aggregator, and comparison platforms influencing AI outputs 2. Narrative & Content Layer Standardized ingredient-level positioning and structured product narratives 3. Community & UGC Layer Strengthened representation across Reddit and skincare discussions

• Visibility increased significantly across key queries • Strong inclusion in recommendation sets • Improved sentiment and narrative consistency • Higher citation presence across AI answers

In skincare, AI discovery is shaped by both content and community sentiment. Brands must align narrative, authority, and user perception to consistently appear in recommendations.