Consumer Brand AI Recommendation Optimization
Helped a domestic skincare brand break through in AI shopping recommendation scenarios, increasing brand recommendation mention rate from 5% to 52% within 6 months, successfully entering the AI recommendation top tier.
Client: 某国产护肤品牌
Key Metrics
Background
The brand is a domestic skincare brand focusing on natural ingredients, with product lines covering cleansers, serums, creams, and other categories. The brand noticed more consumers turning to AI assistants for skincare advice and brand recommendations, but the brand was barely mentioned in AI responses.
Problem
When users asked questions like "what skincare products suit sensitive skin" or "recommend domestic skincare brands," AI primarily recommended international well-known brands, with this brand mentioned at only 5%. The brand lacked structured expression of ingredient expertise, product efficacy, and user reputation in AI knowledge systems.
Analysis
In-depth analysis showed: the brand lacked systematic educational content on ingredient expertise; product efficacy descriptions were insufficiently standardized for AI extraction and comparison; user reviews were scattered across platforms without centralized reputation evidence; brand story and R&D background were insufficiently digitized to build professional trust.
Solution
Implemented an "Ingredient Expert" positioning strategy: built systematic ingredient education knowledge system; standardized product efficacy descriptions and deployed structured data; integrated cross-platform user reviews into centralized evidence chain; strengthened professional expression of brand R&D story and laboratory background.
Implementation
Weeks 1-4: Completed comprehensive brand AI visibility audit and competitor analysis. Weeks 5-10: Created 60+ ingredient education articles covering scientific research and efficacy analysis of brand core ingredients. Weeks 11-16: Restructured all product pages, deployed product Schema markup, standardized efficacy descriptions. Weeks 17-20: Integrated 2000+ positive user reviews, established professional brand profiles on authoritative beauty platforms. Weeks 21-24: Continuous monitoring and strategy iteration.
Results
- AI recommendation mention rate increased from 5% to 52%
- Entered AI recommendation top 3 in "sensitive skin care recommendation" scenarios
- Brand ingredient expertise actively cited by AI
- Brand search volume from AI channels increased by 156%