Expand your brand toolkit with Novi's product recommendation intelligence

Give clients a clearer view of how their products perform in Agentic Commerce, what is influencing those outcomes, and where to act next.

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Give clients the product-level intelligence to win in Agentic Commerce

Move Beyond Prompts With Category Intelligence

Use category, product, and model-level intelligence to identify where clients are falling short, prioritize the highest-impact opportunities, and build a clear optimization roadmap.

Go Deeper Than
Brand-Level Visibility

See which products are actually being selected, compared, and recommended and uncover the specific signals influencing performance at the SKU level.

Connect Optimization to Measurable Growth

Measure how product-level improvements translate into stronger recommendations, more qualified traffic, and increased sales across the channels your clients care about most.

Leverage Category and Model Intelligence to Guide Client Strategy

Understand the product-level signals, attributes, and sources shaping AI recommendations so your team can uncover gaps, identify opportunities, and focus clients on what matters most.

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Build a Clear Product Optimization Roadmap

Translate product- and category-level insights into a clear optimization roadmap across content, structured data, claims, citations, and distribution—giving teams specific actions they can execute for clients.

Connect AI Recommendations to Client Growth

Measure how optimization improves product recommendations and drives qualified traffic, engagement, and sales across the retail, marketplace, and DTC channels that matter most.

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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."

Lisa Curtis,
Founder & CEO
Kuli Kuli Foods
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"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
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Frequently Asked Questions

How can agencies use Novi with clients?

Agencies can use Novi across the full client lifecycle, from initial audits and opportunity assessments to strategy, execution planning, measurement, and ongoing optimization. Novi helps agencies understand how AI models are evaluating a client’s category and products, identify the highest-priority gaps, and turn those findings into clear recommendations across product data, PDPs, schema, content, evidence, and distribution.

Can Novi fit into our existing service offering?

Yes. Novi is designed to complement services agencies already provide, including SEO, ecommerce, content, retail media, marketplace strategy, product data, and digital transformation. It can act as the category and product recommendation layer within those existing programs, giving teams a more specialized view of how products are being selected and ranked in AI shopping experiences.

What does Novi help agencies deliver to clients?

Novi helps agencies move beyond visibility reporting into more actionable AEO strategy. Teams can deliver category-level diagnostics, product-level recommendation insights, prioritized optimization roadmaps, implementation guidance, and ongoing performance measurement so clients understand both what is happening and what they should do next.

Can agencies use Novi across multiple clients?

Yes. Novi can support repeatable AEO programs across a portfolio of ecommerce and CPG clients. Agencies can use the same core methodology to assess category performance, identify product-level opportunities, build client-specific action plans, and measure progress over time while tailoring the strategy to each brand and category.