Lily AI

Lily AI is a product intelligence platform for retailers and brands that enriches product catalogs with structured, machine readable attributes and then proves the commercial effect with controlled tests. Its current platform, Lily Max, runs agents that continuously add and refresh attributes and copy across a catalog, then measures lift across Google Ads, Meta Ads, AI shopping assistants and onsite search using holdout groups and confidence intervals. The premise is that better product data makes items more findable and more likely to convert wherever shoppers look, including in answers from ChatGPT and Gemini. It is aimed at enterprise retailers and brands, the agencies that manage their accounts, and performance marketing teams that need to show revenue lift rather than visibility scores. The platform works inside existing catalog and feed systems, so no replatforming is required. Channel coverage includes Google Shopping and Performance Max, Meta Advantage+ catalog ads, LLM discovery and onsite search. Outputs are sold as six separately priced use cases: Google Shopping attributes, Meta catalog ad copy, SEO and AEO metadata, conversational commerce attributes, item setup and classification, and consumer product copy. Pricing is quote based and not published. Lily builds each quote from three variables: catalog size, with cost per SKU improving as volume grows; use case complexity; and the markets and regions that need localization. A free feed audit produces a scoped, line itemized quote, a free 30 day trial covers 500 products, and most teams start with a scoped pilot on one channel that includes matched spend A/B testing before committing more widely.