Get your shoppers from search to sold.

Add exceptional depth, accuracy and the language consumers actually use to your product catalog, and make it easier to connect your shoppers with what they’re looking for.

Woman on laptop using site search to shop for retail products.

How it works

Brands and retailers who merely take in the generic product attributes provided to them by manufacturers and distributors – and stop there – aren’t able to push the language that customers actually use in their searches to their on-site search engine, then wonder why conversion is still stuck at an anemic 2% or worse.

Lily AI works with some of the world’s biggest brands and retailers to provide search engine-agnostic, plug-and-play product attribution data that feeds every step in the retail value chain. We help them return the sort of accurate and relevant results expected by their shoppers – even on some of the longest of long-tail searches. This dramatically increases engagement, conversion and ARPV.

Read Customer Stories

Stop the endless site-search scroll.

It’s not acceptable to return 10-plus pages of results that drop off dramatically in relevance after the first click. Shoppers want focused, relevant results that match their shopping intent – and they’ll leave your site if they don’t get it.

By using granular, customer-centered product attribution data and enabling long-tail semantic searches, retailers can easily guide users directly to the items they really want.

It’s not just about finding the product. Sites that support semantic searches (which requires enhanced product data) see their cart abandonment rates drop down to as low as 2%.

Learn more about Product Intelligence

Actionable search insights, all in one place.

The Lily AI Search Analytics Dashboard provides a centralized hub for retailers to understand and act on their customers’ search trends, conversions and other actionable KPIs. Unlike existing retail analytics dashboards, Lily AI empowers retailers with actionable insights to diagnose bottlenecks in conversion funnels, then make adjustments to product attributes to maximize product discovery.

Learn more

Resources

A line of people dressed in preppy clothing by a fashion retailer that boosted their online product discovery.

Large Multi-Brand Retailer Boosts Product Discovery from On-site Search by 8.5%, Projecting to $22M Increase in Revenue Across Brands

How one of North America’s premier multi-brand retailers unlocked product discovery for their extensive catalog of clothing and apparel using the power of robust product attribution data.
Read
A man smiling at his laptop as he online shops.

5 Ways Lily AI will Supercharge Your E-Commerce Site Search Engine

Connect your high-intent search bar shoppers with the most accurate results with Lily AI enhanced product attribution that will supercharge your existing e-commerce site search engine’s results. 
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Person's hands using a search bar to look for products while shopping.

How to Capitalize on Shoppers’ Search Diversity

Different shoppers search uniquely, making it essential for retail e-commerce brands to build the right product taxonomy to capture both common and long-tail searches.
Read
Lily AI's "How Bloomingdale's makes site search convert with enriched product data" title image.

How Bloomingdale’s Makes Site Search Convert With Enriched Product Data

Learn how Bloomingdale’s leverages enriched product data from Lily AI to drive an enhanced search experience.
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Photo of the Lily AI's Search Analytics Dashboard in use to show search trends.

The Power of Actionable Search Insights at Your Fingertips

Having truly actionable retail search analytics is a secret weapon that allows for rapid decision-making and action based on relevant search data. Learn how Lily AI’s Search Analytics Dashboard empowers retailers to fill the gaps in their existing search engine.
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