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.
Key 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.


Who Can Use This Tool?
- Brands & Retailers:Enrich product catalogs to improve search discoverability and increase ecommerce conversions.
- Ecommerce Teams:Automate titles, descriptions, and attributes to reduce catalog refresh costs and improve conversions.
- Merchandisers:Normalize taxonomies and attributes across suppliers to enable accurate filters, facets, and analytics.
- Advertising & Paid Media:Optimize product metadata and schema to improve ad relevance, impressions, and CTR.
Pricing Plans
Pricing information is not available yet.
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
| Feature | Lily AI | Aidaptive | CopyMonkey |
|---|---|---|---|
| Pricing | N/A | N/A | $24/month |
| Rating | 8.2/10 | 8.0/10 | 8.1/10 |
| Attribute Extraction | Yes | No | Partial |
| Taxonomy Harmonization | Yes | No | No |
| Recommendations Engine | Yes | Yes | No |
| Listing Copy Quality | Strong listing copy | No | Optimized Amazon copy |
| Search Relevance | High search relevance | Predictive search relevance | Amazon SEO-focused relevance |
| Integration Breadth | Extensive integrations | Solid integrations | CSV/API integrations |
| Analytics & Measurement | Yes | Partial | Yes |
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