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Marketing

Lily AI

AI-powered enrichment of product content to boost discovery and sales across search, ads, and marketplaces.
8.2
Rating
Custom
Price
7
Key Features

Overview

Lily AI is an enterprise-focused product content optimization platform that uses retail-specific AI models, a proprietary dataset, and an enrichment layer to translate catalogs into shopper-friendly, machine-readable product content. The platform enriches attributes, titles, descriptions, metadata, and schema to improve site search, paid and organic discovery, recommendations, marketplace listings, and ad performance. Lily emphasizes a Data Layer, AI Models, an Enrichment Layer, and Measurement & Analytics to continuously refine outcomes and integrate with existing retail tech stacks.

Details

Developer
lily.ai
Launch Year
2015
Free Trial
No
Updated
2025-12-07

Features

Product Attributes & Taxonomy

Customer-oriented attribute taxonomy (25k+ entries), automatic tagging (30M+ items/year), and synonyms library to translate shopper language into merchant data.

Site Search for Humans

Converts customer phrasing into search-engine-friendly terms to reduce search friction and lift on-site conversion and CTR.

Recommendations & Personalization

AI-powered recommendations combining past behavior, trends, and style signals to increase upsell and cross-sell relevance.

Product Copy Generation

Automated title and description generation aligned to brand voice, optimized for SEO and conversion while aiming to avoid hallucinations.

Filters & Facets / Taxonomy Harmonization

Normalizes attributes across suppliers, enables new filter categories, and integrates with existing filter engines to improve navigation.

Data & Operations Layer + Integrations

A data layer, enrichment layer, measurement & analytics, and application layer supporting bidirectional integrations into downstream systems.

Screenshots

Lily AI Screenshot
Lily AI Screenshot

Pros & Cons

Pros

  • Strong retail-specific AI: 3B+ training data points and a 25k+ customer-oriented attribute taxonomy (product-attributes page).
  • Measurable impact claims: documented lifts for conversions, traffic, CTR, and attribute depth (homepage and ecommerce page).
  • Wide functional coverage: site search, recommendations, product copy generation, filters/facets, marketplaces, and ad optimization.
  • Integrations and operations focus: built to normalize data across suppliers and integrate with existing retail tech stacks.

Cons

  • No public pricing or self-serve plans; appears to be enterprise/custom pricing (contact/sales required).
  • Limited public developer documentation or self-serve onboarding found on site.
  • As an enterprise product, implementation may require integration effort and data operations resources.

Compare with Alternatives

FeatureLily AIAidaptiveCopyMonkey
PricingN/AN/A$24/month
Rating8.2/108.0/108.1/10
Attribute ExtractionYesNoPartial
Taxonomy HarmonizationYesNoNo
Recommendations EngineYesYesNo
Listing Copy QualityStrong listing copyNoOptimized Amazon copy
Search RelevanceHigh search relevancePredictive search relevanceAmazon SEO-focused relevance
Integration BreadthExtensive integrationsSolid integrationsCSV/API integrations
Analytics & MeasurementYesPartialYes

Audience

Brands & RetailersEnrich product catalogs to improve search discoverability and increase ecommerce conversions.
Ecommerce TeamsAutomate titles, descriptions, and attributes to reduce catalog refresh costs and improve conversions.
MerchandisersNormalize taxonomies and attributes across suppliers to enable accurate filters, facets, and analytics.
Advertising & Paid MediaOptimize product metadata and schema to improve ad relevance, impressions, and CTR.

Tags

aiecommerceproduct-contentproduct-attributessite-searchrecommendationsschemapersonalization