Category pages that convert
Build high-converting category and collection pages with AI-powered ranking, smart merchandising controls, and dynamic filters that guide every visitor from browsing to buying.
Merchants using AI Browse see an average 28% higher conversion on category pages compared to static listing pages
Turn every listing page into a revenue driver
Most category pages are static product listings sorted by date or price. Visitors scroll endlessly, lose interest, and leave. AI Browse changes that by dynamically ranking products on every category and collection page based on conversion probability, visitor behavior, and business rules you set.
Whether your customers land on a seasonal collection, a best-sellers page, or a deep product category, AI Browse ensures the right products appear first. Combined with merchandising controls, you keep full creative authority while letting AI handle the heavy lifting of ranking and optimization.
From static listings to intelligent storefronts
AI Browse transforms every category page into a high-converting experience that adapts to your customers and your business goals.
01
Build dynamic collections instantly
Create seasonal, thematic, or curated product collections in minutes. Define rules based on attributes, tags, or custom logic and let AI populate the pages automatically. Launch a "Summer Essentials" or "Back to School" collection without touching code.
02
Power category pages with AI ranking
Products on every listing page rank by conversion probability, trending signals, and margin data. High-performing items surface first, slow movers shift down, and every page continuously optimizes itself based on real visitor behavior.
03
Run A/B tests on merchandising strategies
Test different ranking algorithms, product placements, and promotional strategies against each other. Measure impact on CTR, AOV, and conversion in real time. Roll out winning strategies across all category pages with one click.
04
Deliver dynamic content blocks
Embed intelligent content blocks within category pages: banners, featured products, editorial cards, and cross-sell widgets that adapt to each visitor. Every element works together to guide shoppers down the funnel.
Smart collections that update automatically
Define rules once and let AI keep your collections fresh. Seasonal pages, trending picks, and curated assortments populate and reorder themselves as your catalog and customer behavior evolve. No manual curation needed.

AI-powered ranking that maximizes revenue
Every product on a category page is ranked by conversion probability, margin contribution, and trending signals. High performers rise to the top. The ranking engine continuously learns from visitor interactions and adapts in real time.

Merchandising controls without code
Pin hero products to the top, boost new arrivals, or bury out-of-season items on any category page. Visual drag-and-drop controls let merchandisers act fast without waiting on engineering. Business rules and AI work in concert.

Dynamic filters that adapt to every category
Facets and filters adjust automatically based on category context. A clothing page shows size and color filters. An electronics page shows specs and compatibility. Visitors find what they want faster with relevant navigation at every level.

Category-level performance insights
Track how every listing page performs with built-in analytics: click-through rate, add-to-cart rate, conversion, and average order value per category. Identify underperforming pages, measure the impact of merchandising changes, and optimize continuously.

Everything you need to optimize every listing
Collection builder
Create themed collections, seasonal pages, and curated assortments with rule-based automation. Collections stay fresh as your catalog and trends evolve.
Visual merchandising
Pin, boost, bury, and reorder products on any category page with drag-and-drop controls. Set rules that combine business logic with AI-driven ranking.
Category analytics
Track CTR, conversion rate, AOV, and revenue per category page. Identify top performers, discover underperforming listings, and measure every change.
Built-in A/B testing
Test different ranking strategies, product placements, and promotional layouts against each other. Statistical significance is calculated automatically so you can act with confidence.
Dynamic faceting
Filters and facets auto-adapt per category. Clothing shows size and color. Electronics shows specs. Visitors navigate large catalogs without friction.
API-first architecture
Integrate with any frontend framework, headless CMS, or custom storefront. Full REST API gives developers complete control while the dashboard keeps merchandisers self-sufficient.
AI Browse for your team
Whether you manage product merchandising, own the digital experience, or build the platform, AI Browse gives your team the tools to move fast.
Merchandising Teams
Take full creative control of category pages with visual drag-and-drop tools. Pin hero products, boost promotions, and organize collections without writing code or waiting on engineering. Merchandisers can act on insights immediately and see changes reflected in real time.
See department solutionsDigital Experience Teams
Optimize the entire browsing journey across desktop, mobile, and app. Build responsive category layouts, manage dynamic content blocks, and run A/B tests to find the best-performing page designs. Deliver a seamless window-shopping experience at every touchpoint.
See use casesEngineering Teams
Integrate AI Browse into any frontend with a clean REST API. Headless architecture means full flexibility over rendering while Seekora handles ranking, filtering, and analytics on the backend. Ship faster with pre-built SDKs and comprehensive documentation.
View API docs


Trusted integrations and partnerships
Get up and running quickly with pre-built integrations on the most popular platforms.
Shopify
WooCommerce

Adobe Commerce
WordPress
BigCommerce
JavaScript
React
Vue.js
Node.js
Docusaurus
Angular
Shopify
WooCommerce

Adobe Commerce
WordPress
BigCommerce
JavaScript
React
Vue.js
Node.js
Docusaurus
Angular
Explore the Full Seekora Suite.
Every product works together. Combine Search, Browse, Analytics, Recommendations, and Personalization for a unified commerce intelligence layer.
AI Search
Lightning-fast neural search that understands intent, typos, and synonyms, turning every query into a conversion.
Explore AI SearchAnalytics
Real-time intelligence that reveals why users search, click, and convert, turning data into actionable decisions.
Explore AnalyticsRecommendations
AI-powered product discovery with look-alike, trending, and personalized suggestions that drive higher AOV.
Explore RecommendationsPersonalization
Dynamic 1:1 experiences that adapt in real-time to each visitor. Every session uniquely tailored.
Explore PersonalizationSeekora AI Browse FAQs
Common questions about AI-powered category and collection pages.
What is AI Browse?
AI Browse is a product that turns static category and collection pages into high-converting, dynamically ranked listing pages. It uses AI to order products by conversion probability, margin, and trending signals while giving merchandisers full visual control.
How is AI Browse different from AI Search?
AI Search powers the search bar experience, helping users who type a query find the right products. AI Browse powers the browsing experience: category pages, collection pages, and product listing pages where visitors explore without typing a search query. Both work together to cover the full discovery journey.
Do I need coding skills to use AI Browse?
No. Merchandisers can create collections, pin products, adjust rankings, and run A/B tests from a visual dashboard without any code. Engineering teams use the REST API for initial integration, but day-to-day management is fully self-service.
How does AI ranking work on category pages?
AI ranking analyzes historical click, conversion, and revenue data alongside real-time trending signals to rank products by their likelihood to convert. Products that perform well rise naturally. You can layer business rules on top, such as boosting new arrivals or high-margin items.
Can I control which products appear first?
Absolutely. AI Browse provides visual merchandising controls that let you pin specific products to fixed positions, boost or bury items based on rules, and override AI rankings for campaigns or promotions. Business rules and AI work together seamlessly.
Does AI Browse support A/B testing?
Yes. You can test different ranking strategies, product placements, and content layouts against each other. The platform calculates statistical significance automatically and shows you which variant drives better CTR, conversion, and revenue.
What analytics does AI Browse provide?
Built-in dashboards show click-through rate, add-to-cart rate, conversion rate, and average order value for every category and collection page. You can compare performance over time and measure the impact of merchandising changes.
How do dynamic filters work?
Filters and facets adapt automatically based on the category. A clothing category shows size, color, and brand. An electronics category shows specs, compatibility, and price range. This ensures visitors always see the most relevant filtering options.
Can I create seasonal or themed collections?
Yes. The collection builder lets you define rule-based collections that populate and refresh automatically. Create "Summer Essentials," "Holiday Gift Guide," or "Trending This Week" pages that stay current without manual curation.
How do I get started with AI Browse?
Start with a free trial to connect your catalog and see AI Browse in action on your own product data. Integration takes minutes with our API and pre-built SDKs. Your first optimized category pages can go live within a single session.
Turn browsing into buying
Get started with Seekora AI Browse. Build category pages that convert, powered by AI ranking and visual merchandising controls.