NOVI VS. REFIBUY · COMPARISON

Product Data Enrichment vs. Recommendation Intelligence

ReFiBuy tells you what product data is missing or could be added.

Novi
tells you why that data matters, whether it actually influences AI selection, and which signals are most important within the category.

SEE NOVI IN ACTION

WHY NOVI?

AI Decision Intelligence, Optimization, & Distribution

Go beyond product data gaps. Novi shows you which signals actually influence AI selection and ranking, why they matter, and where to focus first.

See How Novi and ReFiBuy Compare

Al Intelligence
Recommendation Strategy
Optimization Coverage
Ecommerce Distribution
Performance
Novi
Category Intelligence reveals why AI recommends your products
Prioritized actions to earn more product recommendations
Optimizes product data, PDPs, content & trusted sources
Pushes optimized product data through retailer & channel feeds
Connects product recommendations to traffic, conversion & revenue
Product data readiness and enrichment
Determines what product information should be added or enriched.
Improving and enriching product catalog data
Supports distribution of enriched product catalog data
Measures product readiness, visibility, and catalog performance

Testimonials and Proof Points

Why Commerce Teams Choose Novi

What stood out most was how clearly Novi connected structured product data, trust signals, and verification to real AI visibility and recommendations.

Lisa Curtis,
Founder & CEO
Kuli Kuli Foods
Kuli Kuli Foods

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.

Dropps
Kuli Kuli Foods

Common Questions About Novi vs ReFiBuy

What’s the difference between Novi and ReFiBuy?

ReFiBuy helps brands identify gaps in product information and improve catalog readiness for AI commerce. Novi goes deeper into the recommendation decision itself, helping brands understand which attributes and authority signals actually influence whether a product is selected, how it ranks, and what should be prioritized to improve performance.

How does Novi go beyond identifying missing product attributes?

Not every missing attribute has the same impact on an AI recommendation. Novi’s Category Intelligence identifies which signals matter within a specific category and connects those signals to actual selection and ranking behavior. This helps brands prioritize the changes most likely to influence recommendations rather than simply adding more product information.

Why does understanding why an attribute matters make a difference?

AI systems evaluate products in the context of a category and a specific shopping need. Novi helps brands understand how attributes contribute to relevance, evidence, and competitive differentiation, so teams can focus resources on the signals that meaningfully affect recommendation outcomes.

Does Novi also help improve product data?

Yes. Novi turns recommendation intelligence into prioritized updates across product attributes, PDPs, structured data, content, authority signals, and distribution. The difference is that those updates are informed by how AI is actually evaluating the category and the product.

Let's get your products recommended
in AI conversations every time.

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