Meet the MagnetLabs Team
The Minds Behind Better Product Data
We believe better product data is the key to smarter ecommerce, and we’re here to help you unlock it.
After years of working with leading retailers and witnessing the frustration of inconsistent product data, MagnetLABS CatalogIQ was launched to address a fundamental problem: messy, incomplete catalogs that undermine great shopping experiences.
Today, online marketplaces and digital shoppers expect more. From personalized recommendations to enriched listings, AI is reshaping how we search, shop, and discover products. We founded MagnetLABS to harness the power of agentic AI and reimagine how product content is created, structured, and delivered. That's why we live at the intersection of new technology and savvy veteran leadership.
"In a world shifting toward zero-click shopping and AI-native discovery, we believe GenAI isn’t just a tool, it’s a catalyst for smarter, more adaptive commerce. That’s why we built CatalogIQ: a platform that transforms raw product data into content that’s optimized for relevance, consistency, and conversion at scale." - Rob Desmarais, MagnetLABS Founder & CEO
Blog
How CatalogIQ Turned Fragmented Supplier Data Into a Competitive Advantage
When supplier data fragmented search visibility, Your Pet Connection rebuilt its catalog foundation with CatalogIQ. The result:
Enriched, structured listings, stronger rankings, and a 7–10x increase in daily search impressions.
Knowledge Center
Leverage a growing library of best practices and FAQs.
Subscriptions
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Explore how generative AI is transforming product data - solving long-standing challenges to drive search, discovery, and conversion - and reshaping ecommerce far beyond the catalog.
"In a world shifting toward zero-click shopping and AI-native discovery, we believe GenAI isn’t just a tool, it’s a catalyst for smarter, more adaptive commerce. That’s why we built CatalogIQ: a platform that transforms raw product data into content that’s optimized for relevance, consistency, and conversion at scale."