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Create AI search experiences for ultra-relevant results
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Launch product configurators to bundle, cross-sell, and collect more leads
Connect customers with Zoe, a personal product expert powered by AI
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FEATURED REPORT
The 2025 State of Ecommerce Search Report
Understand intent, not just keywords—deliver hyper-relevant results that reduce frustration and drive conversions.
Traditional keyword-based search often leads to irrelevant results, frustrated users, and abandoned shopping journeys. When customers can't easily find the products they need, your business loses sales.
Transform search into a powerful conversion driver with Zoovu’s AI-powered semantic search
AI-driven contextual search interprets natural language and complex queries.
Ontology-based search structures and categorizes product data.
Learns from interactions to continuously improve results.
Allow customers to compare up to four products directly from search results.
Automatically reorder filters, set custom ranges, and display only the most relevant facets.
Adjust the importance of product attributes to align search outcomes with marketing goals.
Gain complete control over what customers see on search result pages.
Show customers the perfect products so you can make more sales.
Organize your product data is organized and analyzed to give better search results.
Detect and correct common search issues.
Match customers with their product as they begin typing an article number, part number, or SKU.
AI semantic search delivers personalized discovery for any sector
Deliver precise and intuitive search experiences that help shoppers find the right products instantly.
Simplify technical product searches by transforming specifications into user-friendly search experiences.
Optimize multi-vendor catalog searches, ensuring consistency and accuracy across diverse product listings.
AI semantic search interprets customer intent, using machine learning and ontologies to deliver accurate, context-driven results rather than relying solely on keyword matching.
Yes. AI semantic search understands natural language, allowing it to process complex, multi-word queries and return relevant results that align with user intent.
By mapping product relationships and structuring data semantically, AI search ensures customers find the best matches, related accessories, and alternative products effortlessly.
Get your copy of the ultimate deep dive into search best practices and opportunities