Suggestions that just make sense
Use AI-powered behavioral cues to recommend products and content that your audience is actually interested in, driving higher engagement and average order value.
Merchants using Seekora Recommendations see an average 15-25% AOV increase within the first 30 days
AI-powered product and content recommendations
No matter where your users are in their journey, Seekora Recommendations drives higher site engagement and cart conversion metrics. Our AI surfaces personal recommendations using behavioral signals, visual similarity, and purchase patterns to match each visitor with the right products at the right moment.
Seamless integration with your backend CMS and product catalogs helps expose the full breadth of your inventory to users throughout their journey, maximizing catalog exposure and driving cross-sell opportunities that traditional rule-based systems simply miss.
From data to revenue-driving suggestions in four steps
Seekora turns first-party behavioral signals and catalog data into personalized recommendations that drive engagement and conversions.
01
Ingest and enrich your data
Sync your full product or content index and stream real-time events like views, clicks, add-to-cart, and purchases. The engine enriches each record with vector embeddings, laying the groundwork for high-quality matches.
02
Train purpose-built ML models
Supervised machine-learning algorithms, including collaborative, content-based, and hybrid models, spot patterns in what shoppers browse and buy to predict what each person is most likely to want next.
03
Serve lightning-fast recommendations via API
A single API call returns a ranked list in under 10ms. Choose from out-of-the-box models like Related Products, Frequently Bought Together, and Trending Items, or spin up custom ones.
04
Learn and optimize continuously
As fresh events stream in, models retrain automatically and feed dashboards so you can A/B test, merchandise, and fine-tune relevance over time without manual intervention.
Pre-built models for every stage of the buyer journey
Choose from ready-to-use recommendation strategies or combine them to create a tailored experience for your storefront.
Frequently Bought Together
Surface complementary products that shoppers commonly purchase as a set. Ideal for product detail pages, cart drawers, and checkout flows to increase basket size.
View documentation
Look-alike
Recommend visually and semantically similar items when a product is out of stock, low in inventory, or when a user wants to explore alternatives in the same style.
View documentation
Related Items
Show products related by category, attribute, or behavioral affinity. Keep visitors engaged and exploring your catalog instead of bouncing back to search.
View documentation
Trending
Highlight top-selling and fast-rising products based on real-time engagement signals. Perfect for homepage carousels, category pages, and email campaigns.
View documentation
Personalized
Curate a unique product feed for every visitor, combining browsing history, purchase patterns, and segment affinity to deliver one-to-one relevance at scale.
Explore personalization
Increase average order value with every interaction
AI-powered recommendations surface complementary and higher-value products at exactly the right moment. Buyers see bundles, upsells, and cross-sells that feel natural, leading to larger carts without any extra effort from your merchandising team.
Maximize catalog exposure across your entire inventory
Many long-tail products never get seen. Seekora Recommendations ensures your full catalog is surfaced to relevant buyers, from trending bestsellers to niche items that match specific browsing patterns.
Turn every page into a cross-sell opportunity
From product pages to cart drawers and order confirmations, recommendation widgets follow your customers throughout their journey, surfacing the right complementary items at each stage to drive additional revenue.
Personalize the experience for every visitor
Each shopper gets a feed curated to their preferences, browsing history, and purchase behavior. One-to-one personalization builds loyalty and repeat purchases by making every visit feel uniquely relevant.
Understand recommendation performance in real time
Built-in analytics dashboards show click-through rates, attributed revenue, model performance, and coverage metrics so your team can iterate quickly and optimize for the KPIs that matter.
The complete solution for AI recommendations
Easy to use
Launch personalized carousels in minutes. Just sync your catalog and events, use pre-built Recommend widgets, and stay in full control with no-code tuning.
Fast
Serve AI-driven product or content recommendations in under 10ms, keeping pages and add-to-cart clicks blazing fast even at peak traffic.
Scalable
Built on globally distributed infrastructure that handles millions of recommendation requests per day with 99.99% availability.
Recommendations tailored to your vertical
From fashion to industrial supply, Seekora adapts its models to the unique buying behaviors and catalog structures of your industry.
Retail and E-commerce
Increase basket size with Frequently Bought Together bundles, upsell higher-margin alternatives on product pages, and personalize homepage carousels for repeat visitors.
See retail solutions
Media and Publishing
Keep readers engaged with Related Articles, personalized reading lists, and trending content feeds that adapt to each visitor in real time.
See media solutions
Marketplaces and B2B
Help buyers discover complementary SKUs and suppliers, surface reorder suggestions based on procurement history, and increase repeat order rates across your platform.
See marketplace solutions
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 AnalyticsPersonalization
Dynamic 1:1 experiences that adapt in real-time to each visitor. Every session uniquely tailored.
Explore PersonalizationAI Browse
High-converting category and collection pages with AI ranking, merchandising controls, and dynamic filters.
Explore AI BrowseSeekora AI Recommendations FAQs
Common questions about Seekora's AI-powered recommendation engine.
What is Seekora Recommendations?
Seekora Recommendations is an AI-powered engine that surfaces personalized product and content suggestions using behavioral signals, purchase patterns, and visual similarity. It integrates with your storefront via a simple API.
What recommendation models are available?
Seekora offers five pre-built models: Frequently Bought Together, Look-alike (visually similar), Related Items, Trending, and Personalized. Each can be used individually or combined for more nuanced recommendations.
How fast are recommendation responses?
Seekora serves recommendations in under 10ms through globally distributed infrastructure, keeping your pages fast even at peak traffic.
Can Recommendations increase my average order value?
Yes. Merchants using Seekora Recommendations typically see a 15 to 25 percent AOV increase. Frequently Bought Together suggestions encourage add-on purchases, while personalized feeds help buyers discover higher-value alternatives.
How does Seekora handle new products with no interaction data?
New products are matched through content-based similarity using attributes like title, description, images, and category. As interaction data accumulates, behavioral signals are incorporated automatically.
Do I need a large catalog for recommendations to work?
No. Seekora is effective for catalogs of all sizes. Smaller catalogs rely on content-based and rule-based strategies, while larger catalogs benefit from collaborative filtering and deep learning models.
Can I control which recommendations appear on my site?
Absolutely. The Seekora dashboard lets you select recommendation strategies, set business rules, exclude or boost specific products, and control placement on product pages, cart drawers, and homepages.
Does it work with my existing platform?
Seekora integrates with Shopify, WooCommerce, Adobe Commerce, BigCommerce, and any headless or custom-built storefront through REST and GraphQL APIs.
How do I measure recommendation performance?
Built-in analytics dashboards track click-through rates, attributed revenue, model performance, and catalog coverage, giving your team the data to iterate and optimize continuously.
How can I get started?
You can start with a free trial to test Seekora Recommendations with your own product data. Sync your catalog, configure your first model, and see results within minutes.
Turn every visit into a discovery moment
Get started with Seekora Recommendations. Easy to integrate, fast to deploy, and built for growth.