Product-level optimization with measurable growth.
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Your catalog is not structured in a way AI systems can easily access, read, or understand.
Your product attributes lack the quality, consistency, or trust signals AI needs to recommend you.
Your product data sends unclear or incorrect signals about where your products belong.
Optimize and enrich your catalog at scale so AI systems can understand, compare, and consistently select your products as the destination for purchase.
Novi’s category-specific intelligence ensures the right schema and attributes are applied to each category, giving your catalog a measurable advantage.
Drive category leadership by optimizing products and guiding assortment with strategies aligned to how AI systems rank, compare, and select to improve visibility, increase selection, and grow share.
Powered by Novi’s product-level optimization and analysis, we identify what’s missing, improve how each product performs, and apply those learnings across your category.
Leverage Novi’s established data network as a single source for high-value product attributes. Enrich products with verified certification data and AI-optimized signals that help AI systems understand and recommend your products.
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What stood out most was how clearly Novi connected structured product data, trust signals, and verification to real AI visibility and recommendations.
We’ve always aimed to stay ahead of the curve — bringing household consumables to ecommerce early and pioneering biobased cleaning for over 30 years. Partnering with Novi is a natural next step, helping ensure Dropps is represented clearly and accurately in AI-driven shopping experiences.
Yes. Novi’s retailer solution helps improve how AI systems understand, categorize, and recommend the products in a retailer’s assortment. It combines catalog enrichment, category intelligence, and performance measurement to support stronger product discovery across AI platforms.
Novi improves product data by identifying gaps in attributes and structure, then enriching and standardizing listings based on how AI systems rank and recommend products. Using category-specific intelligence, we apply the right schema and signals across the catalog to improve visibility, increase selection, and drive better performance.
AI systems rely on structured, consistent product information to understand what products are, where they belong, and when to recommend them.
Novi improves retailer catalog data by optimizing product information at scale. We analyze each product, identify gaps in attributes and structure, and enrich listings with the data AI systems use to rank, compare, and recommend products. Our category-specific intelligence ensures the right schema, attributes, and trust signals are applied across the catalog, resulting in more complete, consistent data that improves visibility, increases selection, and drives better performance across AI-driven shopping experiences.
