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.
Translate insights into a clear action plan that prioritizes fixes, guides optimization, and drives measurable improvements in product performance.
GET IN TOUCHContinuously audit and measure product data to identify gaps, track visibility, and improve how products perform in AI-driven recommendations.
BOOK DEMOLeverage Novi’s authority & partnerships to increase your citation density.
LEARN MORENovi helps CPG and Retail 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.
AI shopping happens at the product level. Novi helps brands strengthen the SKU-specific data AI systems use to understand what each product is, where it belongs, and when it should be recommended.
Novi is built for CPG and Retail brands, with deep expertise in product data, retail relationships, certifications, category nuance, and performance measurement.