Lily AI

Goal-based AI agents enrich your catalog continuously

Lily Max uses goal-based AI agents to enrich, evaluate, and republish your product catalog across paid, organic, onsite, and agentic commerce surfaces. The platform scans your SKUs, identifies gaps in attributes, use cases, trending terms, and product details, then generates enriched product intelligence that improves your Product Intelligence Score.

Improved product data completeness, compliance, relevance, and differentiation across AI surfaces.

Matched-spend A/B tests prove lift before you scale

Lily Max runs controlled matched-spend experiments comparing enriched product data against your existing catalog. Tests are validated with matched test/control groups and cross-validated against platform lift studies, so you get defensible results before committing more spend.

Measured revenue and ROAS lifts, with results you can defend to stakeholders.

AI Performance Gap Analysis and search-term surfacing

Lily Max surfaces the high-demand search terms that matter for each product and weaves them into titles and descriptions. It also provides AI Performance Insights that show how enriched data improves your presence in Google's AI Performance Insights and other AI-driven shopping experiences.

Higher impression share and visibility for products in AI-mediated search and discovery.

Schema-validated product data for AI agents

Lily Max transforms sparse product listings into structured, machine-readable, schema-validated payloads that AI agents can parse and act on. It fills in missing attributes like silhouette, rise, inseam, fabric, performance, use cases, fit guidance, identifiers, and variant availability.

AI surfaces can match and recommend your products accurately, reducing missed opportunities.

One engine for Google, Meta, LLMs, and onsite search

Lily Max sends enriched product data to Google Ads, Meta Ads, AI Discovery & Agentic Commerce (including ChatGPT and Gemini), and onsite search. It collects catalog and performance signals from these surfaces to continuously optimize your product intelligence.

Consistent, optimized product data across every AI-mediated shopping surface.

Approval before anything ships to your feeds

Lily Max includes human approval workflows before any enriched data reaches your live feeds. You can edit product data fields inline, review transformations, and approve changes, ensuring control and governance over your catalog.

Safe, controlled deployment of AI-generated product content.

• Proven performance lifts across channelsLily Max reports measurable results from matched-spend A/B tests: +28% revenue lift on Google Shopping for a large apparel brand, +21.4% ROAS lift for a national footwear retailer on Meta Advantage+, and +28.3% onsite revenue lift for a contemporary luxury brand. These are controlled experiments with holdout groups, not anecdotal claims.
• Agentic product intelligence for AI commerceLily Max uses goal-based AI agents to continuously enrich, evaluate, and republish your product catalog. It makes products legible across AI-mediated surfaces including Google Ads, Meta Ads, AI Discovery & Agentic Commerce (ChatGPT, Gemini, Claude AI Mode), and onsite search, without requiring replatforming.
• Trusted by leading brandsLily AI is trusted by Marks & Spencer, Shiseido, Tapestry, and Bombas. These brands highlight measurable efficiency gains, improved paid media performance, and category-leading visibility in LLM-driven discovery, as quoted in their testimonials.
• Free 30-day trial on 500 productsYou can start with your Google Merchant Center feed and run a free 30-day trial on 500 products. Lily Max will score your product intelligence gaps and identify where richer, AI-ready attributes can improve visibility, conversion, and ROAS, with no upfront commitment.

• Pricing is not publicly listedLily does not publish fixed prices. Pricing is tailored to catalog size, channels, and monthly ad spend. You must book a demo to get a quote, and there is no self-serve or transparent rate card available on the website.
• Trial requires booking a demoThe free 30-day trial is not self-serve. It requires contacting Lily and starting with a scoped pilot on your highest-impact channel. The trial is designed to produce measured lift, but you need to engage with sales first.
• No standalone certifications or integrations listedThe website mentions compatibility with Google Ads, Meta Ads, and AI surfaces, but does not list formal certifications, marketplace integrations, or a full integration catalog. Claims about specific platform partnerships should be verified directly with Lily.
• Performance results are from specific case studiesThe lifts cited (e.g., +28% Google Shopping revenue, +21.4% ROAS) are from specific brands and matched-spend tests. They are not guarantees of your results. The website does not provide full methodology or underlying data for these numbers.

Enrich Product Catalogs for AI Search

Lily Max agents enrich your existing product catalog with structured, machine-readable data — filling gaps in attributes, use cases, trending terms, and product details so AI surfaces like Google Shopping, Gemini, and ChatGPT can actually understand and recommend your products.

Boost Paid Search & Social ROAS

Improve performance across Google Ads and Meta Ads with enriched product intelligence. Lily Max runs controlled matched-spend A/B tests that prove lift — showing +28% revenue lift on Google Shopping and +21.4% ROAS lift on Meta Advantage+ for brands using enriched data.

Win AI Discovery & Agentic Commerce

Make your products legible to AI shopping assistants and LLM-driven discovery surfaces. Lily Max optimizes product data so your items get recommended by ChatGPT, Gemini, and other AI agents — one beauty brand ranked #1 as the AI-recommended makeup choice in major shopping experiences.

Improve Onsite Search & Conversion

Richer product attributes and schema-validated payloads help shoppers find what they need on your own site. Lily Max's onsite enrichment drove a +28.3% revenue lift for a contemporary luxury brand in a statistically significant A/B test on onsite search results.

Define the exact fashion workflow Lily AI should support.

Compare it with closely related AI tools in the same category before committing.

Set review rules for accuracy, privacy, brand voice, compliance, and final approval.

Connect useful outputs to the wider stack instead of leaving them inside the AI tool.