Lily AI
AI can't recommend what it can't understand
Overview
Lily AI addresses a real, growing pain point for large retailers: as Gartner predicts falling traditional search volume due to AI chatbots and agents, product data that isn't richly attributed and structured risks becoming invisible across Google, Meta, and AI shopping assistants. Lily's core strength is its scale of training data (3+ billion retail data points across 300+ classification models) and its full-funnel approach, touching ads, onsite search, and now agentic/AI discovery surfaces. The Marks & Spencer partnership and multi-year track record in retail-specific attribution give it credibility that generic image-tagging tools lack.
The tradeoff is that Lily AI is squarely an enterprise product: there's no self-serve signup or public pricing, and smaller or mid-market ecommerce brands will likely find the sales cycle and integration lift disproportionate to their catalog size. It's also a data/infrastructure layer rather than a consumer-facing feature, so the ROI is indirect and shows up in ad performance and search rankings over time rather than an immediate on-site experience. For large catalogs with real attribution gaps, it's a strong specialist choice; for smaller stores, simpler onsite search or PIM tools may be more practical.
Key Features
Product Attribute Enrichment: Uses 300+ fine-grained classification models trained on billions of retail data points to extract human-centric attributes from images and descriptions.
Google Ads Optimization: Enriches Google Merchant Center data to improve Shopping, Performance Max, and Demand Gen campaign performance.
Meta Ads Support: Optimizes catalog data for Advantage+ catalog ads and retargeting.
AI Discovery & Agentic Commerce: Prepares product data for visibility in AI answer engines and autonomous shopping agents.
Onsite Search & Recommendations: Improves onsite search relevance and product recommendation quality using enriched attributes.
Continuous A/B Testing: Runs matched-spend experiments with confidence intervals to measure enrichment impact.
Pricing
Starting price
Custom pricing only, contact sales (30-day free trial on 500 products available)
Free Trial: 30-day trial covering up to 500 products from a catalog.
Custom Enterprise Pricing: No public tiers; pricing is negotiated directly with Lily AI's sales team based on catalog size and modules needed.
Disclaimer: pricing may change, confirm on Lily AI's own pricing page before buying.
Pros
Deep Retail-Specific Training Data: Purpose-built models trained on billions of retail and consumer data points, not generic image tagging.
Full-Funnel Coverage: Spans Google Ads, Meta Ads, onsite search, and AI discovery/agentic commerce in one platform.
Proven Enterprise Adoption: Named partnerships with major retailers like Marks & Spencer validate real-world impact.
Future-Facing Positioning: Actively adapting to the shift toward AI shopping agents and answer engines rather than only traditional search.
Cons
No Public Pricing: Requires a sales conversation, making it hard to evaluate cost upfront.
Enterprise-Only Focus: Likely overkill or inaccessible for small to mid-sized merchants.
Indirect ROI: Impact shows up in downstream ad/search performance rather than an immediate visible feature.
What Makes It Unique
Unique Angle: Unlike consumer-facing search or quiz widgets, Lily AI works at the data layer, enriching product attributes at scale across ads, onsite search, and AI shopping agents, positioning itself for the shift away from traditional keyword search toward AI-mediated commerce.
Kay Score
7.2
/ 10
Tool Information
Pricing
Custom pricing only, contact sales (30-day free trial on 500 products available)
Category
Chatbots & SEO
Platform
Web / iOS / Android
Last Updated
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