Build dynamic product pages with AI Browse

Move beyond static category pages

AI Browse provides rich navigational discovery, helping customers explore categories without a precise query.

Merchandising with flexibility and control

Merchandisers can shape how the catalog “looks and feels” without rebuilding the site every time.

No-code merchandising

Adjust how products appear across category and collection pages. Pin items, promote campaigns, or adapt ranking strategies without engineering support.

Transparent ranking

Understand how products are ordered within category pages, and adjust as needed using product attributes.

Comprehensive analytics

Track how category pages and collections perform with built-in analytics like engagement, conversion, and revenue. Identify what’s working and where to optimize.

Continuous optimization A/B testing & insights

Test and refine browsing experiences with built-in experimentation. Optimize for metrics like engagement, conversion, or revenue.

The retail media advantage

With global retail media spend projected to total $180 billion in 2025, the opportunity is vast, but success depends on how retailers use data, design, and technology to serve both customers and brands. In our newest report, we asked executives how they plan to invest in retail media networks.

76%

sponsored listings on search result pages is the top retail media strategy

30%

better audience targeting is the top goal for sponsored listings on search result pages

11%

of retail media buyers use multiple retail media platforms

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Schedule a conversation with our team about how to improve your results with agentic, generative, and AI search solutions.

Improve relevance and search accuracy
Give teams more control without developer bottlenecks
Scale search performance as your catalog grows
Validate solutions tailored to your stack and goals

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Browsing experiences that drive decisions