AI can't recommend what it can't understand.
Lily Max agents enrich your existing product catalog, launch controlled tests, and improve performance across Google Ads, Meta Ads, AI Discovery & Agentic Commerce and Onsite.
Trusted by the brands shaping the next era of commerce
Today, your customer is shopping across every AI surface.
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Sponsored products ⋮
What can I help you with today?
| Field | Original | Score | Transform | Enriched | Score |
|---|
| Dimension | Before | After | Lift | What moved it |
|---|
Agent-Ready Payload · PDP Enrichment
AI can't recommend what it can't read.
Left, what an agent can pull from the live PDP today, mostly blanks. Right, the same product enriched into a resolvable, schema-validated payload an AI surface can match and act on.
Measure the difference
Measurement
Enriching your data with Lily Max improves how you show up in Google's AI Performance Insights, surfaces the search terms that matter for each product, and runs the A/B tests that prove the lift, so you can measure the impact of better product data.
| Product term | Monthly Searches | Impression Share | Products with term |
|---|
| Use-case | Search Volume |
|---|
| Use-case | Search Volume |
|---|
Measuring Performance
Numbers are The Story
Lily Max is built for Performance Marketing teams that need results they can defend, with controlled experiments and validated results.
Google Shopping
+28%
Revenue lift for a large apparel brand using Lily-enriched product intelligence.
Matched-spend A/B test comparing Lily-enriched vs. existing Google Merchant Center feed.
Meta Advantage+
+21.4%
ROAS lift for a national footwear retailer at near-identical spend levels.
Matched-spend A/B with holdout group; cross-validated against Meta Conversion Lift Study.
Agentic + AI discovery
#1
A top beauty brand is ranked as the #1 AI-recommended makeup choice in major shopping experiences.
A concise review of LLM recommendations for ChatGPT and Gemini.
Onsite search
+28.3%
Onsite revenue lift for a contemporary luxury brand with richer product attributes.
Statistically significant A/B test on onsite search results.
One engine, every AI-mediated surface
Make your products legible
wherever AI sells.
Lily Max uses goal-based AI agents to optimize product intelligence across paid, organic, onsite, and agentic commerce surfaces, including the Google, Meta, LLM, and retailer-owned systems that decide what shoppers see.
Agentic Product
Intelligence
Goal-based agents enrich, evaluate and republish your catalog continuously
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Google Ads
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Claude
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AI Mode
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Meta Ads
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Gemini
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Onsite Search
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AI Overview
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Amazon
In their words
The brands building for AI commerce trust Lily AI.
“Magic and logic, merchant instinct backed by machine learning.”
Scott Roe
CFO & COO, Tapestry
Get started
Start with your Google Merchant Center (GMC) feed. Expand across every AI-mediated commerce surface.
Run a free 30 day trial on 500 products from your catalog. Lily Max will score your product intelligence gaps and identify where richer, AI-ready attributes can improve visibility, conversion, and ROAS without replacing the tools your team already uses.
Frequently asked questions
What is Lily Max?
Lily Max is the agentic product intelligence engine for AI commerce. It uses goal-based AI agents to enrich your product catalog, run controlled tests, and improve performance across Google Ads, Meta Ads, AI discovery and agentic commerce, and onsite search.
What is agentic product intelligence?
Agentic product intelligence is the structured, machine-readable product data that AI systems read when they decide which products to surface, cite, or recommend. Lily Max generates and maintains that layer, then tests which enrichments actually lift performance.
How is Lily Max different from a feed manager?
A feed manager distributes your product data; Lily Max improves the product intelligence that data carries. Feed managers move what you already have, while Lily Max finds the gaps, enriches the attributes, and proves which changes lift visibility, conversion, and ROAS before they ship.
How is Lily Max different from AI visibility or AEO tools?
Visibility tools tell you where you appear; Lily Max improves the inputs that determine whether AI systems surface your products at all. It then ties those improvements back to revenue, not just a score.
Does Lily Max replace my catalog or commerce stack?
No. Lily Max optimizes the product intelligence your feed manager, catalog system, and commerce stack already distribute, so there is no replatforming. It works inside the tools your team already uses.
Which surfaces does Lily Max support?
Lily Max works across Google Ads (Shopping, Performance Max, and Demand Gen), Meta Ads (Advantage+ catalog ads, retargeting, and prospecting), AI discovery and agentic commerce (answer engines and shopping agents), and onsite search and recommendations.
How does Lily Max measure results?
Every result is measured against a control. Lily Max uses matched-spend A/B tests, holdout groups, and difference-in-differences analysis, then reports lift with confidence intervals, so performance claims hold up to a finance review.
Does Lily Max help my products show up in ChatGPT, Gemini, and AI Overviews?
Lily Max makes your products legible to AI by enriching feeds, schema, and bot-facing content so answer engines and shopping agents can understand and recommend them. It improves readiness and input quality; it does not guarantee placement, ranking, or citation on any AI surface.
What kind of results do brands see with Lily Max?
Results vary by catalog and starting point, but controlled tests have shown meaningful lift, for example a 28 percent revenue lift on Google Shopping for a large apparel brand and a 21.4 percent ROAS lift on Meta for a national footwear retailer. Both were measured against a control, tested, not promised.
How do I get started with Lily Max?
Book a demo and connect your feed. Lily Max scores your catalog, surfaces the highest-impact gaps, and shows where enrichment can lift performance first, before any credits are spent.