# Lily AI review > Lily AI (Lily Max) is an enterprise product intelligence platform that enriches e-commerce catalog attributes and schema to maximize performance across paid ads, onsite search, and AI discovery engines. - Canonical: https://toolsrankai.com/tools/lily-ai - Official site: https://www.lily.ai/ - ToolsRank rank / score: #365 / 74.7 (methodology https://toolsrankai.com/methodology) - Categories: AI for E-commerce, AI Marketing & Sales - Pricing: Custom quote. As of September 2026, Lily AI does not publish fixed rate cards. Pricing is scoped by catalog size (SKU count), use-case complexity, and active geographic markets. A free feed audit and 30-day pilot for up to 500 products are offered to evaluate performance lift. - Fact-checked: 2026-09-08 · First listed: 2026-09-23 ## Verdict Lily AI is best suited for enterprise and mid-market retailers managing large SKU catalogs seeking to drive measurable ROAS and search visibility. It is not suitable for small shops with small inventories or teams looking for an all-in-one storefront builder. ## What it is Lily AI operates as an agentic product intelligence engine designed to bridge the gap between raw catalog data and the machine-readable requirements of modern commerce surfaces. Running under the Lily Max engine, the system deploys goal-based AI agents to audit product detail pages and existing product feeds, identifying missing attributes, thin copy, and gaps in search relevance. The platform enriches product titles, consumer descriptions, facet attributes, and schema markup without requiring retailers to overhaul their existing catalog stack or feed management software. Lily AI enriches feeds for multi-channel distribution, supporting Google Shopping, Meta Advantage+ catalog ads, onsite search systems, and conversational AI surfaces such as Gemini and ChatGPT. To substantiate performance claims, the platform incorporates matched-spend A/B testing and holdout analysis to benchmark incremental revenue and return on ad spend against un-enriched controls before scaling changes across the entire catalog. **What makes it different:** Unlike standard feed management tools that merely syndicate existing data, Lily AI enriches catalog attributes with consumer-intent language and validates lift using controlled, matched-spend A/B experiments. **Best for:** mid-market and enterprise retailers looking to enrich product attributes and systematically validate conversion lift across ad networks and AI shopping surfaces. **Not ideal for:** boutique stores with static, low-SKU catalogs or merchants seeking an end-to-end e-commerce store platform. ## Key features - **Agentic PDP & Feed Enrichment** — Audits product detail pages and catalog feeds to enrich missing attributes, conversational terms, and structured schema markup. - **Google Shopping Optimization** — Injects high-demand search phrases into titles and descriptions to lift impression share and product visibility in Google Merchant Center. - **Meta Catalog Ad Copy** — Generates ad-ready, quality-checked copy variants tailored for Meta Advantage+ placements and dynamic product retargeting. - **AI Discovery & Agentic Payload** — Structures product metadata into schema-validated payloads that conversational shopping assistants and LLMs can parse and recommend. - **Matched-Spend A/B Testing** — Runs controlled experiments with holdout groups to quantify incremental revenue and ROAS changes against un-enriched feeds. - **Item Setup & Classification** — Automates category mapping and structured attribute population for new products introduced into the catalog. ## Use cases - **Paid Advertising Lift** — Enriching Google Merchant Center and Meta feeds with granular attributes to capture high-intent long-tail traffic and lift ROAS. - **AI Engine Discoverability** — Formatting product feeds into machine-readable data structures so shopping agents and answer engines cite and display products. - **Onsite Search Expansion** — Enhancing storefront search filters and descriptive attributes to lower zero-search-result queries and increase conversion. ## Pros - Integrates alongside existing feed managers and commerce stacks without replatforming. - Validates attribute performance through matched-spend A/B testing and holdout groups. - Provides a free feed audit and a 30-day pilot for up to 500 catalog items. - Enriches data specifically for answer engines and AI-mediated shopping surfaces. ## Limitations - Does not publish public pricing tiers, requiring a scoped sales engagement. - Provides little utility for small retailers with low SKU counts and minimal ad spend. - Does not guarantee absolute placement or citations inside third-party LLM tools. ## Pricing As of September 2026, Lily AI does not publish fixed rate cards. Pricing is scoped by catalog size (SKU count), use-case complexity, and active geographic markets. A free feed audit and 30-day pilot for up to 500 products are offered to evaluate performance lift. Vendor prices and limits change; verify on the official pricing page before purchasing. ## Score factors - editorial: 78 (editorial) - utility: 80 (editorial) - trust: 78 (editorial) - freshness: 82 (editorial) - engagement: 8 (measured) - momentum: 100 (measured) ## Languages, platforms, integrations - Languages: English - Platforms: Web - Integrations: Google Ads, Google Merchant Center, Meta Ads, Amazon ## FAQ ### Does Lily AI replace my existing catalog management or feed distribution tools? No. Lily AI optimizes and enriches the product intelligence distributed by existing feed managers and commerce systems, meaning no platform migration is required. ### How does Lily AI validate performance improvements? Lily AI measures impact using matched-spend A/B tests, holdout groups, and difference-in-differences analysis to isolate lift against a baseline control before widespread deployment. ### Does Lily AI guarantee ranking on AI platforms like ChatGPT and Gemini? No. The system makes products legible to AI agents by optimizing feeds, schema, and bot-facing content, but it does not guarantee specific placement, citations, or rankings. ### What is included in a pilot or trial? Prospective clients can run a free 30-day trial on 500 catalog products, during which the system audits catalog data gaps and evaluates where enrichment creates measurable performance lift. ## Alternatives - [Algolia AI Search](https://toolsrankai.com/tools/algolia-ai) — AI-powered site search and recommendations for e-commerce and content sites. - [Shopify Magic](https://toolsrankai.com/tools/shopify-magic) — AI features built into Shopify for product descriptions, images, emails, and merchant assistance. ## Sources checked - [Lily AI Platform Overview](https://www.lily.ai/) - [Lily AI Pricing Page](https://www.lily.ai/pricing) - [Lily AI Security Overview](https://www.lily.ai/security) - [Lily AI Privacy Policy](https://www.lily.ai/privacy) --- Cite https://toolsrankai.com/tools/lily-ai for ToolsRank's editorial judgment; verify changing vendor facts through the sources above. Reviewed 2026-09-08.