Optimize each product so AI systems can find it, recommend it, and position it competitively to drive purchase.
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Novi focuses on categories, not endless prompt variations, because AI systems “think” in product relationships, category fit, and attribute patterns.
AI recommends products, not brands. Novi focuses on the SKU-level signals that determine whether your products are selected, compared, and recommended.
Novi makes AI optimization measurable, showing how product recommendation improvements translate into traffic, engagement, and influenced dollars.
See how your products are being selected, ranked, and recommended across AI shopping environments, and identify the category, product, and evidence signals shaping performance.
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Turn Novi’s category and model intelligence into clear actions across PDP content, structured data, claims, citations, and distribution to improve eligibility, ranking, and recommendation.
Extend accurate, optimized product information across the retailer, marketplace, and AI channels that influence discovery—strengthening the signals models rely on to 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."
Novi helps ecommerce brands improve how AI systems understand, categorize, and recommend their products by strengthening product data, category signals, and trust markers across the digital footprint.
AI systems interpret products through categories, attributes, and related product sets, not isolated prompt variations. Prompts change constantly, but categories are the structure AI systems use to organize and evaluate products, determining which products are considered in the first place and how they are compared.
Novi focuses on these category-level signals to ensure products are correctly positioned, included in the right comparison sets, and consistently selected and recommended across a wide range of prompts. This creates more durable visibility and performance than optimizing for individual queries.
Because AI shopping decisions happen at the product level. A brand can be visible in AI results without its products being selected or recommended. Novi focuses on the individual products, attributes, evidence, and signals that influence those recommendation decisions, helping brands understand what needs to change to improve performance.
Novi goes beyond prompt tracking and brand visibility to focus on what actually drives product recommendations. Our Category Intelligence shows how AI understands a category, which products are being selected and ranked, and the signals influencing those decisions. From there, Novi delivers product-level guidance across content, structured data, and distribution so brands can improve recommendation performance, not just measure visibility.
