No free plan. The cheapest way in is Enterprise at Custom pricing based on catalog size and API usage. Consider free alternatives in the ai ecommerce category if budget is tight.
Free plan includes: open-source, self-hosted pim, basic product data management, import and export capabilities
Free plan includes: up to 1,000 products, basic search functionality, standard analytics
Free plan includes: up to 50,000 monthly sessions, basic product recommendations, email integration
Lily AI uses AI models trained on retailer, public, and proprietary data to transform merchant product descriptions into customer-centric language while optimizing for search algorithms. For example, it transforms 'Womb Chair' into discoverable terms like 'Retro 70 Accent Chair,' 'Modern Yellow Accent Chair,' and 'Mid-Century Modern Chair' that customers actually search for while maintaining SEO-optimized structure.
Retailers typically see incremental sales improvements within 4-8 weeks, including 25-40% increase in site traffic, 5-9% conversion rate improvement, 6-10% ad impression lift, 5-15% higher click-through rates, and 30-70% increase in product attribute depth. Results vary based on existing content quality and implementation scope.
Yes, Lily AI's Application Layer enables seamless, bi-directional integrations with major e-commerce platforms and marketing tools. This includes Google Merchant Center, SEO tools, marketplace platforms, site search solutions, and existing product information management (PIM) systems through API-based integrations.
Lily AI specializes in fashion, home goods, and beauty retail, with AI models specifically trained on the unique attribute complexity and customer language patterns of these verticals. The platform is not suitable for electronics, automotive, industrial, or B2B product categories that require different optimization approaches.
Lily AI continuously monitors micro and macro trends, seasonal language patterns, and emerging customer vocabulary. The platform dynamically updates product content to align with current trends while maintaining enduring style classifications, ensuring products remain discoverable as customer language evolves.
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Last verified March 2026