Find answers to frequently asked questions about Lily, AI search strategy, and more.
What is Lily AI?
Lily AI is the company behind Lily Max, the product intelligence platform for AI commerce. Founded in 2015, Lily AI makes retail and brand catalogs legible to the search engines, ad platforms, and AI agents that decide what shoppers see.
Lily AI is the company behind Lily Max, the product intelligence platform for AI commerce. Founded in 2015, Lily AI makes retail and brand catalogs legible to the search engines, ad platforms, and AI agents that decide what shoppers see.
Agentic product intelligence is structured, machine-readable product data built so AI agents and answer engines can understand, compare, and recommend products. Lily Max generates and maintains that layer so your catalog performs wherever AI does the discovering and the choosing.
Lily Max runs a continuous loop. It detects gaps in your product data, generates enrichment in consumer language, launches a controlled experiment, measures the lift against a holdout, and scales what works across your full catalog.
Lily Max is built for retailers and brands that depend on product discovery, especially performance marketers and feed managers. It works for catalogs across fashion, footwear, beauty, skincare, and home, from growing brands to global enterprises.
Which channels and surfaces does Lily Max support?
Lily Max supports four surfaces: Google Ads, Meta Ads, AI discovery and agentic commerce, and onsite search and merchandising. On paid surfaces it improves measured performance. On AI surfaces it improves how readable and recommendable your products are.
Lily is an AI platform for retail media and agentic commerce. We connect product data, shopper intent, and paid channels so brands and retailers can grow profitably, across Google Ads, Meta Ads, onsite placements, and emerging AI discovery surfaces.
Google Ads (Shopping, Performance Max, and Search), Meta Ads (Advantage+, catalog, and prospecting), onsite search and recommendations, plus AI discovery across agentic shopping surfaces and answer engines.
Neither. Content is an output and feeds are a distribution layer. Lily Max improves the underlying product intelligence those outputs carry, and proves which improvements move performance before deploying them.
Pricing is based on your catalog size and the surfaces you choose, structured as credits across Google Ads, Meta Ads, AI discovery and agentic, and onsite. Book a demo for pricing scoped to your catalog.
Pricing is tailored to your catalog size, channels, and ad spend. We offer plans for growing brands through to enterprise retailers and marketplaces. Book a demo for a quote tailored to your business.
We typically start with a scoped pilot so you can see measurable impact on your own catalog before committing. Talk to us about what a pilot looks like for your team.
How is Lily different from a feed management tool or an agency?
Feed tools move your catalog data and agencies manage your campaigns, but neither improves what the data actually says. Lily Max enriches the product attributes and language those systems depend on, then proves the lift with controlled tests.
Visibility tools tell you where you appear. Lily Max improves the inputs that determine whether AI systems surface your products at all, and ties those improvements back to revenue, not just a score.
How is Lily different from agentic-commerce-only (ACO) tools?
ACO optimizes agentic surfaces. Lily Max applies the same operating discipline across agentic commerce plus Google, Meta, organic, and onsite, so improvements compound instead of fragmenting per channel.
Lily Max works from your existing product feed and catalog data, the same titles, attributes, and descriptions your feed and PIM already hold. No replatforming or new data pipeline is required to begin.
Lily Max treats every enrichment as a hypothesis: it tests which signals lift performance, deploys what wins, and feeds the outcome back into the model so accuracy improves with every cycle.
Yes. Lily operates inside your accounts and you retain full ownership of your data and campaigns. Your data is used only to operate your campaigns and is never sold.
Lily measures every change against a control. Using A/B and difference-in-differences testing, Lily isolates the lift caused by better product data, so results reflect the enrichment, not seasonality or spend. Tested, not promised.
Can Lily guarantee my products will appear in ChatGPT, AI Overviews, or other AI assistants?
No. No tool can guarantee placement, ranking, or citation on an AI surface, and Lily does not claim to. Lily Max improves the readiness and quality of the product data those systems read, which is the part you control.
Yes. Lily tracks how AI-driven discovery and agentic surfaces contribute to revenue, so you can see the impact of product intelligence beyond traditional channels.
A visibility score is a means, not an end. Lily Max uses it to find the product signals most likely to move visibility, conversion, and ROAS, then decides what to deploy based on measured performance.
Outcomes vary by catalog and starting point, but customers typically see meaningful lifts in agentic and paid-channel revenue without proportional increases in ad spend, because the catalog itself does more of the work.
Most teams connect their data and launch within days, and begin seeing optimization impact as Lily Max iterates on product intelligence across channels.
No. Lily Max works with your existing feed, PIM, commerce platform, and agency. There is no replatforming. It improves the quality of the product data those systems already distribute, so the tools you run perform better.
How do I get started, and how soon will I see results?
Getting started begins with connecting your product feed and scoring your catalog to find the highest-impact gaps. Most teams launch within days and see validated results as the first controlled test resolves. Timelines vary by catalog size and data quality.
Most teams connect their catalog, ad accounts, and storefront and launch within days. We work alongside your team to scope a pilot and roll out across channels.
Data is encrypted in transit and at rest, access is least-privilege, secrets stay server-side, inputs are validated, and access is logged. See our Security & Data Trust page for more.
Does Lily work for agencies managing multiple brands?
Yes. Agencies use Lily to run catalog-aware retail media and product intelligence across multiple clients, with each brand's data kept separate and campaigns operated inside the client's own accounts.