Best Product Recommendations App for prestashop Stores in 2025

PrestaShop powers many multilingual and multi-currency stores, but turning traffic into revenue requires more than static product blocks. Intelligent product recommendations help guide shoppers, increase average order value and improve conversion.

In this article, we’ll cover what to look for in the best product recommendation modules for PrestaShop, compare leading solutions for 2026, explain why Clerk.io stands out, and show how to implement recommendations step by step.

 Conversation with Chat
Three different sofa models displayed with accompanying text: 'Based on order history,' 'Based on best sellers,' and 'Brand affinity."
prestashop
prestashop
prestashop
prestashop
prestashop
prestashop
prestashop
prestashop
prestashop

Why the Right Product Recommendations Module Matters for PrestaShop Stores

For many PrestaShop merchants, traffic is not the problem — conversion and cart value are. Without personalization, shoppers see generic product blocks that fail to match their intent.

Advanced product recommendations help increase AOV, reduce bounce rates and turn every page into a revenue driver across product pages, category pages, cart and CMS content.

What to Look For: Key Features (and Why)

When evaluating product recommendation modules for PrestaShop, these are the essential capabilities to consider:

1. Real-Time Personalization

A modern AI engine should adapt instantly based on browsing behavior, product interactions and purchase history, including alternatives for out-of-stock items.

2. Wide Range of Recommendation Logics

Support for bestsellers, category-based recommendations, alternatives, cross-sells, trending products and content-based widgets ensures full coverage.

3. Seamless Theme Integration

PrestaShop modules must work across Classic, Warehouse and custom themes using hooks, embedded snippets and responsive layouts.

4. Merchandising Rules

Merchants need control to promote specific products, exclude low-margin or low-stock items and tailor recommendations per page type.

5. Analytics & A/B Testing

Clear insight into revenue per widget, click-through rates and conversion enables ongoing optimization.

6. Scalability & Multistore Support

Recommendation engines must scale across multi-language, multi-currency and large-catalog PrestaShop environments without performance issues.

7. Ecosystem & Channel Coverage

Leading platforms extend recommendations into search, email and audience segmentation using the same AI engine.

<div class="comparison-table-card"><table class="comparison-table"><thead><tr><th>App</th><th>Pros</th><th>Cons</th><th class="price-col">Price*</th></tr></thead><tbody><tr><td data-label="App"><strong>Clerk.io Personalization</strong></td><td data-label="Pros">20+ AI logics; real-time personalization; works across all PrestaShop hooks; CMS page support; multi-store and multi-language; unified suite with Search and Email; strong analytics.</td><td data-label="Cons">Requires initial setup and account sync; best suited for growth-focused stores.</td><td data-label="Price*" class="price-col">Custom / usage-based</td></tr><tr><td data-label="App"><strong>Nosto for PrestaShop</strong></td><td data-label="Pros">Strong personalization; good for fashion and lifestyle brands; robust A/B testing.</td><td data-label="Cons">Higher cost; requires significant traffic volume.</td><td data-label="Price*" class="price-col">Enterprise pricing</td></tr><tr><td data-label="App"><strong>PrestaShop Native Recommendations</strong></td><td data-label="Pros">Built-in; simple setup.</td><td data-label="Cons">Rule-based only; no AI; limited logic options.</td><td data-label="Price*" class="price-col">Free</td></tr><tr><td data-label="App"><strong>Doofinder Recommendations</strong></td><td data-label="Pros">Easy installation; integrates with Doofinder Search.</td><td data-label="Cons">Limited logic depth and customization.</td><td data-label="Price*" class="price-col">Monthly subscription</td></tr><tr><td data-label="App"><strong>Rule-Based Add-ons (Belvg / Smart Modules)</strong></td><td data-label="Pros">Affordable; one-time purchase options.</td><td data-label="Cons">No real-time AI; limited analytics; manual maintenance required.</td><td data-label="Price*" class="price-col">One-time fee</td></tr></tbody></table></div>

How AI Product Recommendations boost your AOV

How to Implement Product Recommendations on PrestaShop

  1. Install the Clerk.io module via PrestaShop Addons or module upload.
  2. Connect your store by adding Public and Private API keys.
  3. Enable product, category, customer and order sync.
  4. Create recommendation designs and elements in the Clerk dashboard.
  5. Place widgets using hooks, theme files or CMS blocks.
  6. Test performance and optimize using analytics.

FAQs

Q: Which product recommendation module is best for PrestaShop?
A: For stores focused on growth and automation, Clerk.io is often the top choice due to its AI-driven personalization and deep PrestaShop integration.

Q: Do PrestaShop native recommendations include AI?
A: No. Native recommendations are rule-based and lack real-time personalization.

Q: Will recommendation modules slow down my store?
A: Modern SaaS-based modules load asynchronously and are designed not to impact performance.

Q: Does Clerk.io support PrestaShop 8?
A: Yes. Clerk.io supports PrestaShop 1.7 and 8.x, including multi-store setups.

Conclusion

To compete in 2026, PrestaShop stores need AI-powered product recommendations that personalize discovery and increase AOV across the entire shopping journey.

To compete in 2026, PrestaShop stores need AI-powered product recommendations that personalize discovery and increase AOV across the entire shopping journey.

Book a FREE website review

Have one of our conversion rate experts personally assess your online store and jump on call with you to share their best advice.

By clicking submit below, you consent to allow Clerk.io to store and process the personal information submitted above to provide you the content requested.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.