Lily AI

Lily AI is the company behind Lily Max, an agentic product intelligence platform that enriches retail catalogs with structured, machine-readable product data for advertising, onsite discovery, organic and AI search, and agentic shopping experiences.

1. Product intelligence: Lily Max generates and maintains product attributes, descriptions, metadata, schema, classifications, conversational attributes, and other product signals so search engines, ad platforms, onsite systems, answer engines, and shopping agents can better understand each item and match it with shopper intent.
2. Continuous testing workflow: goal-based agents detect gaps in existing product data, generate enrichment in consumer language, launch controlled experiments, measure performance against holdout groups, and scale winning changes across the broader catalog. Lily documents methodologies including matched-spend A/B testing and difference-in-differences analysis rather than treating generated enrichment as automatically beneficial.
3. Channel activation: Lily Max currently supports four main surfaces: Google Ads, Meta Ads, onsite search and merchandising, and AI discovery/agentic commerce. Its AI-discovery work includes feed enrichment, metadata, schema, crawlable PDP content, and conversational attributes designed to improve product readability for systems such as Google AI experiences, ChatGPT, Gemini, Claude, and Perplexity, without guaranteeing placement or citation.
4. Commercial considerations: Lily does not publish a fixed rate card. Pricing is tailored according to factors including catalog size, selected use cases or channels, markets and regions, and advertising spend. Lily also currently offers a free 30-day trial on 500 products for teams starting with Google Merchant Center data.

Lily AI is most relevant to retailers and brands that want to improve how their catalogs are interpreted, tested, and surfaced across paid media, onsite discovery, conventional search, and emerging AI-mediated shopping environments.