An Ideal PDP for every SKU

Novi inspects each product against what wins its category, names the exact facts the model can't find, and builds the content, attributes and structured data to fix it. Same voice, same design, plus the answers AI looks for.

Turn product intelligence into actionable optimizations

Product Diagnosis

How each product is doing and what to do next: a point-by-point inspection against the category's winners, the attribute gaps by name, and why the leading products win.

Ideal PDP

Your AI-ready product page: copy, FAQs and specs rebuilt around the category's weighted attributes, with Product and FAQPage JSON-LD added by Novi. Missing facts are flagged for your team, never invented.

Retailer Attributes

Attributes written to each retailer's rules for Amazon and Walmart, with the evidence behind every value and a preview of the finished Amazon page.

Prioritize the product changes that matter most

Talk to our team

Not all product improvements have the same impact. Novi ranks every recommendation based on its influence on AI product selection, helping teams focus on the highest-impact changes while reducing unnecessary brand, legal, and compliance reviews.

How it works

1
Diagnose

See how AI reads the product and where it falls short of the category's gates and weighted attributes.

2
Audit

Compare the live page with the AI-ready version, fact by fact.

3
Optimize

Review Novi's values against your own, field by field, and keep only what you approve.

4
Distribute

Publish where it matters most (see Distribution & Attribution).

Not just another AEO platform

Novi complements your existing AI visibility tools with category-level intelligence that reveals what drives product recommendations, where your products fall short, and which optimizations matter most.

Talk to sales

Profound tells you how your brand performs across tracked prompts, but not the category-level signals that influence recommendations.

ReFiBuy tells you to add data, but not why this specific data is critical or impactful for AI selection.

Lily AI tells you how to make content more machine-readable, but not what will drive recommendation. 

Evertune tells you how to write for AI audiences, but not what makes your product competitive.

Scrunch tells you what AI can access, but not why it will choose you.

See how brands are driving growth with Novi

4.5X
Increase in AI product selection.
~3x
Increase in traffic-to-purchase conversion rate.
26%
Increase in conversion from AI/Search traffic.
40%+
growth in AI audience.
3.4x
higher citation rate,
final vs. first cohort

Your next customer is an AI.
Let’s make sure it chooses your product.

Book a demo

Frequently Asked Questions

What is Novi's Ideal PDP?

Novi's Ideal PDP is an AI-ready product page optimized around the attributes and information AI models prioritize within a product category. It combines clear product descriptions, relevant FAQs, complete specifications, and structured data to help AI systems accurately understand and evaluate a product.

How does Novi determine which product attributes to optimize?

Novi uses Category Intelligence to identify the attributes and eligibility requirements that influence AI product recommendations. It compares each product against these category-specific signals and prioritizes improvements based on their potential impact on product selection and ranking.

Does Novi change our brand voice or invent product information?

No. Novi builds optimization recommendations around your existing brand content and product information. Missing product facts are flagged rather than invented, and your team reviews recommended changes before they are implemented.

Can Novi optimize products sold through retailers like Amazon and Walmart?

Yes. Novi provides retailer-specific product attribute recommendations that help brands improve product information across channels such as Amazon and Walmart. This is especially important for brands whose products are primarily discovered and purchased through retail partners.