Lily AI
Product attribution AI that enriches catalog metadata to boost search, SEO, and conversions
Overview
Lily AI analyzes product images and descriptions in an e-commerce catalog to automatically extract rich, consumer-facing attributes (material, style, occasion, body type, exact color, etc.) where internal attributes remain technical and generic. These enriched metadata improve search result relevance on-site, organic SEO, and Google Shopping Ads performance.
The solution targets fashion, beauty, and home primarily, sectors where the gap between merchant vocabulary and consumer language is greatest. Integration happens via API in your existing PIM or CMS, without disrupting workflows.
Our verdict
Lily AI is relevant for fashion and beauty retailers with thousands of poorly tagged SKUs losing conversions due to poor attribute coverage. It's an enterprise solution not suited to typical SMEs: without a catalog exceeding 5,000 SKUs and tech resources for API integration, ROI will be hard to achieve. For SMEs, investing in solid manual attribute entry remains more cost-effective short-term.