How Kuli Kuli Improved AI Product Visibility, Traffic Quality, and Conversion with Novi

The Challenge

Kuli Kuli did not have an AI visibility problem. It had an AI understanding problem.LLMs could see the brand, but they were misreading the catalog. Kuli Kuli has 15 active SKUs, while AI systems interpreted the brand as having 1,000+ products. That product-level confusion made it harder for AI systems to identify which products were current, relevant, and worth recommending.

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How Novi Helped

Novi partnered with Kuli Kuli to diagnose how AI systems were interpreting and recommending its products, then led a phased optimization strategy to improve visibility, expand recommendation coverage, and drive measurable traffic impact.

Novi’s work included:

• Creating a roadmap for re-architecting PDP and site content for AI readability and recommendation performance
• Expanding structured product attributes, schema, and category intelligence
• Developing high-intent AI shopping and FAQ content
• Structuring optimized product data for scalable distribution through Shopify and Google feeds
• Identifying high-impact affiliate and editorial partners to strengthen authority

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Results

In the first five months of working together, Kuli Kuli saw strong early lift:

5–10x Increase in product visibility.

More chances for Kuli Kuli products to be seen and recommended.

4.6% Share of voice, up from 0.6%, peaking at 5.2%.

Kuli Kuli was mentioned more often in relevant AI shopping queries.

49% Growth in Google/Gemini traffic.

More consumers were searching for and shopping Kuli Kuli specifically.

10%+ Conversion from ChatGPT traffic.

AI-referred shoppers were higher intent.

~3x Increase in traffic-to-purchase conversion rate.

More site visitors were turning into customers.

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