Most shoppers who land on your store do not know every product you sell. They see one item, maybe two, and then they leave. A static “related products” row that shows the same five items to everyone does little to change that, and on a large catalog it can bury the products a shopper would actually buy.

A product recommendation engine picks which products to show each visitor based on behavior and store data: what they viewed, what is in their cart, what other shoppers bought together and what is trending. Good engines place those suggestions on product pages, in the cart, at checkout and in email, so each placement has a chance to raise order value. The tradeoff is cost and page weight, so the right choice depends on your platform, catalog size and order volume.

Below, we compare five well-known product recommendation engines for Shopify and WooCommerce stores, list what each one costs according to its official pricing page or app listing, and explain who each one suits. If you are still building out your app stack, see our list of the best Shopify apps for ecommerce.

Editorial note: this article contains no affiliate links. Prices and features were checked against each vendor’s official pages on November 7, 2026, and we have not hands-on tested these tools. Vendors change plans often, so confirm current pricing before you buy.

Why Personalized Recommendations Matter to Shoppers (and Your Revenue)

McKinsey & Company’s November 2021 personalization research found that 71% of consumers expect companies to deliver personalized interactions, and 76% get frustrated when that does not happen. Product recommendations are one of the most direct ways a store can meet that expectation, because they change what each shopper sees without a redesign.

Two takeaways. First, shoppers notice when a store treats them like everyone else, so generic suggestions carry a real cost. Second, McKinsey’s lift figures come from companies that personalize across many channels. A single widget will not deliver 15% on its own, but recommendations on product pages, in the cart and in email together are a practical place to start.

Recommendations also overlap with your checkout. If you want offers at the moment of purchase as well, read our guide to the best checkout optimization software.

1. Rebuy — Best for Scaling Shopify Stores

Best for: Shopify stores with growing order volume that want recommendations connected to the cart, search, bundles and post-purchase offers.

What Rebuy does well

• Smart Cart is a customizable slide-out cart with AI-powered product recommendations, and merchandising widgets place upsells and cross-sells across the store.
• Dynamic Bundles and a Bundle Builder let you offer personalized bundles or let shoppers build their own.
• Rebuy says its AI draws on event data from across all Rebuy stores, which can help newer stores with limited history.

Potential drawbacks

• Shopify only, and Checkout Extensions are a Shopify Plus exclusive.
• Each package is priced by monthly orders, so costs climb quickly as you grow, and stores above 10,000 orders a month need to talk to sales.
• The plan configurator on the pricing page showed placeholder values instead of totals, and the FAQ describes a prorated 30-day billing cycle that conflicts with “billed monthly” wording elsewhere.

Pricing

Packages are sold separately and priced by average monthly Shopify orders. At up to 500 orders a month: Cart & Merchandising $45/month, Checkout & Post-Purchase $25/month, Search & Collections $35/month, Flows & A/B Testing $35/month. At 5,000 orders those rise to $425, $225, $325 and $325. Bundles save 10% on two packages, 20% on three and 30% on all four, and annual billing takes another 10% off. Each package has a 14-day free trial. Source: Rebuy pricing page, checked November 7, 2026.

Explore Rebuy Pricing →

2. LimeSpot — Best Low-Cost AI Bundles on Shopify

Best for: Small and mid-size Shopify stores that want AI recommendations, bundles and upsells without a large monthly bill.

What LimeSpot does well

• The Turbo plan includes unlimited recommendations on all pages, bundles, “frequently bought together” offers and automatic up-sells and cross-sells.
• Turbo also covers checkout extension and post-purchase offers, which many entry plans leave out.
• The Max plan adds audience segmentation, personalized bundle discounts, email and SMS personalization and A/B/n testing with advanced analytics.

Potential drawbacks

• The listing says the free and Turbo plans are not compatible with Shopify Plus, so Plus stores need Max.
• Turbo fees rise with order volume and Max fees rise with store revenue, so your bill grows as you sell more.
• The Max base price ($50) and its example tier price ($150 for up to $50k revenue) are hard to reconcile on the listing, and one recent review raised a billing dispute. Confirm terms before you subscribe.

Pricing

Free for up to 10 orders a month. Turbo: from $9.99/month, rising with order volume (the listing’s example is $19.99 for up to 250 orders). Max: from $50/month, rising with store revenue (example: $150/month for up to $50k revenue). Paid plans include a 15-day free trial. Source: LimeSpot listing on the Shopify App Store, checked November 7, 2026.

See LimeSpot Plans →

3. Glood.AI — Best Free Start on Shopify

Best for: New or small Shopify stores that want recommendation widgets for free and the option to add personalization later.

What Glood.AI does well

• The free plan has unlimited usage and includes recently viewed, trending, bestseller and recently launched widgets plus a visual editor.
• The $19.99 Basic plan adds personalized recommendations, similar products, “bought together” and mini cart recommendations.
• Higher tiers add product bundles, rule-based recommendations, A/B testing, checkout upsells and API access.

Potential drawbacks

• The free plan has no personalized recommendations, so it works more like smart merchandising than a true engine.
• Paid plans cap widget displays and charge overages above the limit, which can surprise a store during a busy month.
• A/B testing and checkout upsells are only on the $299.99 Plus plan.

Pricing

Free: unlimited usage. Basic: $19.99/month for 10,000 widget displays. Pro: $69.99/month for 100,000 displays. Plus: $299.99/month for 500,000 displays. Overages are $1 per 1,000 displays on Basic and $1 per 2,000 displays on Pro and Plus. Paid plans include a 14-day free trial. Source: Glood Product Recommendations listing on the Shopify App Store, checked November 7, 2026.

Check Glood.AI Pricing →

4. Clerk.io — Best for Search Plus Recommendations Across Platforms

Best for: Stores on WooCommerce, Shopify or other platforms that want on-site search, recommendations and email personalization from one vendor.

What Clerk.io does well

• Clerk.io sells Search, Recommendations, Chat, Email and Audience as separate products, and you can add more at any time.
• Its help center lists integrations for Shopify, WooCommerce, BigCommerce, Magento, PrestaShop, Shopware and more, which suits stores that are not on Shopify.
• Pricing is usage-based, with monthly, quarterly, half-yearly or yearly contract periods.

Potential drawbacks

• No fixed prices are published, so you cannot compare costs without running the calculator or talking to sales.
• The top usage tier is quote-only, and B2B and enterprise plans need a demo request.
• A free trial is offered, but the pricing page does not state its length.

Pricing

Clerk.io prices each product by usage: monthly recommendations for Recommendations, monthly searches for Search, and so on. The official page uses an interactive calculator and showed no fixed figures, so we could not confirm a starting price. Check clerk.io/pricing with your expected traffic for a quote.

Get a Clerk.io Quote →

5. WooCommerce Product Recommendations — Best for WooCommerce

Best for: WooCommerce stores that want rule-based and automated recommendations from the official Woo marketplace for a fixed yearly fee.

What WooCommerce Product Recommendations does well

• You can place recommendations in more than 20 locations, including product, category and cart pages, checkout and the order-received page.
• Filters, amplifiers and visibility conditions let you control results by category, price, popularity, rating, cart contents or browsing history, and it can build “frequently bought together” engines from your order history.
• Built-in analytics track revenue and conversions by date, product and location.

Potential drawbacks

• WooCommerce only.
• Woo says the extension has not been optimized for block themes, so engines may not work as expected if you use one.
• It relies on your own store data and rules rather than cross-store AI, so results depend on how well you configure it.

Pricing

$99 for a 1-year subscription, or $158.40 for 2 years. Both include updates, support and a 30-day money-back guarantee. The listing requires PHP 7.4, WordPress 7.0 and WooCommerce 11.1 or later. Source: WooCommerce Product Recommendations page on WooCommerce.com, checked November 7, 2026.

View Woo Extension Pricing →

Product Recommendation Engines Compared Side by Side

Which Product Recommendation Engine Is Right for You?

Use this decision path to narrow it down in about a minute.

What to Look for in a Product Recommendation Engine

• Platform fit. Shopify apps will not run on WooCommerce, and some Shopify apps limit features or compatibility on Shopify Plus.
• Placement options. Product pages, cart, checkout, thank-you page and email each catch the shopper at a different moment. Make sure the tool reaches the ones you need.
• Pricing model. Order-based, revenue-based and display-based pricing all grow with your store. Model your cost at two or three times today’s volume.
• Control and testing. Look for manual rules, exclusions and A/B testing so you can override the algorithm and prove that recommendations help.
• Speed. Recommendation widgets add scripts. Test page load time before and after installing.

Quick Wins You Can Make Before Buying Anything

1. Use your platform’s built-in options. WooCommerce has upsells and cross-sells on each product, and Shopify themes usually include a related products section. Fill them in by hand for your top sellers.
2. Add a “complete the look” row to your best-selling product pages with items people commonly buy together.
3. Show recently viewed products so returning shoppers can pick up where they left off.
4. Recommend products in email. Add a product block to order confirmations and abandoned cart messages. See our guide to the best email marketing software.
5. Clean up product data. Accurate categories, tags and attributes make every recommendation engine work better, paid or free.

Frequently Asked Questions

What is a product recommendation engine?

It is software that decides which products to show each shopper, based on signals like browsing history, cart contents, past orders and what similar shoppers bought. It then displays those products in widgets across your store and emails.

What is the best product recommendation engine?

It depends on your platform and size. Glood.AI and LimeSpot suit smaller Shopify stores, Rebuy suits larger ones, WooCommerce Product Recommendations suits WooCommerce, and Clerk.io suits stores that want search and recommendations across platforms.

Do product recommendations increase sales?

They can. McKinsey reports that personalization typically lifts revenue by 10% to 15%, but that figure covers personalization broadly. Track average order value and attributed revenue in your own store to see the real effect.

Is there a free product recommendation engine?

Yes. Glood.AI has a free-forever Shopify plan with basic widgets, and LimeSpot is free for up to 10 orders a month. Free plans usually lack personalized recommendations or limit volume.

How do recommendation engines work on WooCommerce?

WooCommerce includes manual upsells and cross-sells. The WooCommerce Product Recommendations extension adds rule-based and automated engines, and Clerk.io connects through a WooCommerce integration. For more options, see our list of WooCommerce plugins for ecommerce.

Do I need Shopify Plus for product recommendations?

No. Most recommendation features work on any Shopify plan. Plus matters mainly for checkout-page placements, such as Rebuy’s Checkout Extensions, and LimeSpot requires its Max plan for Plus stores.

Will a recommendation app slow down my store?

Any app that adds scripts can affect load time. Install one tool at a time, test speed before and after, and remove widgets that do not earn clicks.

What about enterprise tools like Nosto?

Nosto is a well-known personalization platform, but it does not publish prices or offer a self-service free trial. It offers custom pricing and a proof of concept for qualified merchants, so it fits larger stores better than the tools above.

Do I need a developer to set this up?

Most of these tools are built for merchants to configure themselves. If you want custom placements or a faster WooCommerce store to start with, our WordPress development service can help.

Final Verdict: Which Product Recommendation Engine Should You Choose?

If you run Shopify, start with Glood.AI’s free plan or LimeSpot Turbo to prove that recommendations move your numbers, then look at Rebuy once order volume justifies a smart cart and post-purchase offers. If you run WooCommerce, the official WooCommerce Product Recommendations extension is the simplest fixed-cost choice, and Clerk.io is worth a quote if you also want better on-site search.

Your next step: pick one placement, such as the cart or your top product pages, install one tool, and compare average order value after 30 days. A single measured test tells you more than a store full of widgets you cannot evaluate.

Sources

• McKinsey & Company: The value of getting personalization right, or wrong, is multiplying (2021)
• Rebuy pricing
• LimeSpot on the Shopify App Store
• Glood Product Recommendations on the Shopify App Store
• Clerk.io pricing
• Clerk.io help center: integrations
• WooCommerce Product Recommendations
• Nosto pricing

About the author

Jaykishan Panchal

Founder & CEO, TechCognate · SEO Strategist & WordPress Expert

Jaykishan Panchal is the founder of TechCognate and an SEO strategist with 15+ years of hands-on experience driving organic growth for businesses worldwide. He specialises in technical SEO, content strategy and GEO (Generative Engine Optimisation), helping brands stay visible in both traditional search and AI-driven discovery.

• Technical SEO
• Content Strategy
• AI & GEO
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