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Learn about how these Product Catalog & Data Feeds vendors stack up against each other by checking out our blurbs, claims, and case studies.

Lily.ai
"Optimizes product discoverability using enriched attributes"
Focused on Product Data Structuring & Enrichment .
Lily AI helps marketers by transforming product details into customer-friendly language. This enhances search and discovery across channels, aligning product descriptions with consumer search behavior. They harness AI and a unique dataset to better match products with customer intents, improving organic traffic and ad performance.
Language Alignment
LilyAI claims that their AI can speak the language of customers to improve product discovery and boost sales by up to 25%.
Trend Recognition
LilyAI claims their AI can operationalize trends to align products with what's topical and capitalize on fashion, home, and beauty trends.
Search Optimization
LilyAI claims their AI can turbocharge site search by enriching product attributes with the language shoppers use to help them find the right product every time.
Hypotenuse AI
"Automates ecommerce content creation and optimization workflow."
Focused on AI Content & Visual Optimization .
Hypotenuse AI helps ecommerce brands streamline content creation. It automates product descriptions and marketing content in bulk, while maintaining brand voice. The platform enriches and manages product data, ensuring accuracy. Content is SEO-optimized and published directly to ecommerce stores and marketplaces, continually improving through AI-powered monitoring.
Faster content production time
Hypotenuse AI claims that they enable ecommerce brands to launch SEO-optimized product descriptions to market 10 times faster.
Custom brand voice support
Hypotenuse AI claims that their platform can create content that perfectly matches a brand's unique voice and guidelines.
AI-driven data enrichment
Hypotenuse AI claims that they enhance data accuracy by filling missing attributes and standardizing data without manual input.