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.
Category-Level Intelligence
Go beyond individual prompts to understand how AI evaluates your categories, compares competing products, and determines which products to recommend.
Competitive Product Insights
See which products are winning recommendations, where yours are falling behind, and the specific attributes influencing those decisions.
AI Performance Analytics
Monitor product rankings, recommendation frequency, and share of voice across AI models, categories, and shopping scenarios.
Prioritized Product Optimization
Identify the product-level improvements that matter most, from descriptions and attributes to structured data and supporting evidence.
AI-Ready Product Content
Build product pages and content around the information AI systems use to understand, compare, and recommend products.
Stronger Product Authority
Strengthen the claims, citations, and third-party signals that support product credibility and recommendation eligibility.
Connected Commerce Ecosystem
Support consistent product information across brand websites, retail partners, marketplaces, and AI shopping environments.
Product Data & Distribution
Extend optimized product information into the channels that influence how AI systems discover, evaluate, and recommend your products.
Performance & Attribution
Track changes in AI recommendation performance and connect improvements to traffic, engagement, and conversion opportunities.
"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.
