Description
Lily Max is an advanced product intelligence engine developed by Lily AI, aimed at enhancing AI commerce. It focuses on improving product visibility and conversion rates across various platforms such as Google Ads, Meta Ads, and onsite search. The engine works by enriching product data, making it more readable and recommendable by AI systems. This process involves identifying gaps in product data, generating AI-ready enrichments, and running controlled tests to measure performance improvements.
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Lily Max operates on a continuous optimization loop where users set goals, and the system detects product-data gaps, generates enrichments, and measures the lift in performance. The results are then fed back into the system for further optimization. This approach ensures that product data is always optimized for AI surfaces, enhancing visibility and conversion rates.
The platform supports a wide range of surfaces, including Google Ads, Meta Ads, AI discovery, and onsite search. It does not replace existing tools but works alongside them, optimizing the product intelligence that these tools distribute. Lily Max's pricing is tailored to the catalog size, channels, and ad spend, ensuring that users pay in line with the value it delivers.
Lily Max is designed for retailers and brands that rely on product discovery, particularly performance marketers and feed managers. It is suitable for catalogs across various industries, including fashion, footwear, beauty, skincare, and home. The platform's ability to improve product data quality without requiring replatforming makes it a valuable tool for enhancing AI-driven commerce.
- CategoryMarket Research Tools
- Pricing ModelTailored
- DeploymentCloud
- PlatformsGoogle Ads, Meta Ads
Lily Max's Core Features
AI-driven product data enrichment
Continuous optimization loop
Supports Google Ads and Meta Ads
Onsite search optimization
Controlled A/B testing
Tailored pricing model
No replatforming required
Goal-based system
How to use Lily Max?
Connect: integrate your product feed
Score: identify product-data gaps
Enrich: generate AI-ready product data
Test: run controlled A/B tests
Measure: evaluate performance improvements
Deploy: implement winning strategies
Optimize: continuously refine product data
Lily Max's Use Cases
- AI-driven advertising
- Onsite search optimization
- Product data enrichment
- Performance marketing
- Catalog management
