A customer lands on your site ready to buy. They know what they’re looking for, type it into the search bar and nothing relevant shows up. Maybe it’s a typo. Maybe your search engine can’t interpret complex queries. Either way, the customer leaves.

41% of ecommerce sites fall below acceptable standards for search UX across key query types. In high-volume environments, this friction scales into lost revenue.

Shoppers expect accurate and fast results regardless of how they phrase their query. If the experience stalls, so does the sale.

This article highlights the best ecommerce search engine solutions that meet those expectations.

What is an ecommerce search engine?

An ecommerce search engine helps shoppers find products in an online store. Unlike basic search tools, it understands your catalog, predicts what users search, corrects spelling errors and personalizes results based on customer behavior.

It supports features like auto-suggest, smart filters and synonym recognition, so customers can find exactly what they need.

Key benefits include:

• Better UX: Smarter results, typo handling and guided filters
• Higher conversion rates: Search users typically have higher purchase intent and a well-optimized search helps them act on it
• Merchandising & upsell support: Highlighting specific products, brands or promotions within search results drives upsells
• Analytics for optimization: See which queries lead to sales and use the data to fine-tune your catalog and the search experience

7 best ecommerce product search engines

Let’s dive into the best ecommerce search engine tools that help to optimize your shopping experience.

Loadstone

Loadstone makes product searches faster and more relevant. It’s one of the best ecommerce search engine tools for large retailers that handle complex catalogs and much customer activity.

Instead of just matching keywords, Loadstone’s artificial intelligence understands what shoppers are looking for, even with vague searches. Loadstone users have seen strong results—a 24% increase in cart value and a 355% jump in conversion rates from better recommendations.

This is due to our connected search, product suggestions, customer data and campaigns, helping teams personalize and adapt based on real shopper behavior.

Loadstone is modular, so you can start with search and add tools like loyalty, promotions, CRM and analytics as you grow. Everything works together on the same data, so you’re not dealing with disconnected systems.

If you’re running a large ecommerce site (or multiple stores) and need more than just basic tools, Loadstone is worth checking out.

Key features

• Semantic AI commerce search: Our natural language processing and search algorithms understand shopper intent, even with misspelled queries, showinng relevant results quickly, helping users find products fast and lowering bounce rates.
• Faceted search: Smart filters (price, brand and availability) narrow results, making it easier to browse large ecommerce websites.
• Recommender system: Loadstone suggests relevant products based on user behavior and past activity, increasing order values and upsells.
• Analytics & insights: We show how customers search, click and drop off. Use these insights to improve product strategy and search optimization.
• Omnichannel-ready: Loadstone delivers a consistent, personalized experience across channels both online and in-store through integrated CRM & communications.
• Enterprise support: We help with setup, integration and implementation, so your team gets value without technical headaches.

Already trusted by leading European retailers, Loadstone helps commerce teams improve product discovery and drive sales. Book a call to see how it fits into your ecommerce stack.

Integrations

Loadstone has an open API, allowing you to connect it to almost any CRM or major ecommerce platforms—Salesforce, HubSpot, custom tools and more.

Algolia

Algolia is a search-as-a-service platform that delivers fast, customizable product search. It includes features like autocomplete, typo handling, filters and ranking controls, all managed through APIs.

It’s commonly used by large retailers and marketplaces that need flexible integration and are ready to invest in development. Teams should evaluate how well it connects with their existing tools and whether it meets their needs beyond search.

Key features

• Autocomplete & query suggestions: Offers query predictions as users type, helping speed up search and reduce input errors. Suggestions are based on popular searches or product data.
• Search ranking controls: Allows retailers to define how results are ranked based on business logic, product popularity or custom rules set through the dashboard or API.
• Multi-language support: Handles right-to-left and left-to-right languages, helping ecommerce sites serve a global audience without extra configuration.

See also: Algolia competitors

Integrations

Algolia supports integrations with multiple external CRM tools through its APIs and third-party connectors.

Coveo

Coveo is an AI-based search and merchandising platform that uses machine learning algorithms and natural language processing to interpret user intent and adapt search results in real time. It’s often chosen by retailers and B2B companies looking to personalize search, manage merchandising logic and connect search behavior with broader data sources.

Key features

• Optimized product listings: Uses algorithms to automatically adjust product rankings on category pages, with options to manually pin or demote products based on business rules.
• Voice search support: Enables shoppers to search using voice input, supporting accessibility and aligning with growing usage trends on mobile devices.
• Search analytics: Tracks search performance, conversion metrics and product interaction data, giving teams insight into what’s working and where to improve the customer experience.

Integrations

Coveo connects to external CRMs through APIs, letting businesses use customer data to improve search and merchandising.

Constructor

Constructor is an AI-driven ecommerce search and product discovery platform built for large-scale retailers. It uses machine learning and natural language processing to understand shopper intent and behavior, delivering accurate search results and personalized recommendations.

Designed to support complex catalogs and high traffic volumes, Constructor focuses on improving conversion rates and average order value through real-time ranking and user-specific experiences.

Key features

• Native Commerce Core™: Ranks products based on user behavior, popularity and preferences, using data signals to keep results optimized for engagement and conversions.
• Comprehensive recommendations: Suggests related products like best sellers, alternatives and recently viewed items. Also helps recover zero-result searches with recommended queries.
• Quiz builder: Interactive quizzes that collect customer preferences and guide shoppers to better product matches.

Integrations

Constructor integrates with external CRM systems via API.

Bloomreach

Bloomreach is an AI-powered ecommerce search engine and discovery platform that uses natural language processing and machine learning to deliver relevant, intent-based results. It’s designed for retailers with complex catalogs and focuses on understanding nuanced search queries, optimizing product rankings for revenue and personalizing results based on shopper behavior.

See also: Behavioral marketing

Key features

• Day zero learnings: Uses built-in ecommerce data to understand shopper intent and show relevant content from the start without needing manual training or setup.
• Query-level revenue optimization: Adjusts product rankings based on their likelihood to generate revenue, balancing relevance with profitability in search results.
• Loomi Search+: Combines Bloomreach’s semantic capabilities with Google Cloud’s AI models to better handle long-tail and conversational queries.

Integrations

Bloomreach integrates with multiple CRM, marketing and enterprise systems to unify customer data and support personalized search experiences.

Klevu

Klevu is an AI-powered search and product discovery platform for ecommerce businesses using platforms like Shopify, Magento and BigCommerce. It applies natural language processing and machine learning to interpret shopper intent, correct typos and return relevant results in real time.

The system provides autocomplete suggestions and ranks products based on shopper behavior. It also includes merchandising control, personalization and analytics, making it suitable for retailers with complex catalogs.

Key features

• Automated catalog enrichment: Adds metadata and contextual synonyms to product catalogs automatically, improving the depth and accuracy of search results.
• Product recommendation engine: Adapts search results and product recommendations to each user based on browsing and purchase history, aiming to increase relevance and order value.
• Keyword-based promotions and banner ads: Enables merchants to promote specific products for chosen keywords and display visual banners within search results to support marketing efforts.

Integrations

Klevu integrates with external CRM systems through APIs.

See also: CRM for ecommerce

Luigi’s Box

Luigi’s Box is an AI-driven ecommerce search and product discovery solution for online retailers with medium to large product catalogs. It uses natural language processing and machine learning to interpret user intent, fix typos and deliver relevant results instantly.

Often used by WooCommerce stores, it includes features like predictive autocomplete, dynamic filters, personalized recommendations and built-in merchandising tools.

Key features

• Dynamic search filters: Displays the most relevant filtering options based on the current query and product category, helping users narrow down results without unnecessary clutter.
• Product merchandising: Allows merchants to control product visibility within search results by boosting, pinning or promoting specific items in line with marketing goals.
• Advanced match quality: Goes beyond keyword matching by analyzing content structure and visitor behavior to improve the relevance of search results over time.

Integrations

Connects easily to major ecommerce tools via API and JavaScript, with automatic catalog synchronization.

Best search solution for e-commerce sites: An overview

Choose the best ecommerce search engine

The right ecommerce search engine helps customers find the right products quickly, boosts conversions and lets you optimize every interaction, increasing customer satisfaction.

When choosing a solution, consider your product catalog size, traffic volume, tech setup and how much flexibility you need. Some tools have better speed and customization, others deeper personalization or analytics.

Loadstone is a strong fit for enterprise retailers that need more than just product search. It’s best for large-scale ecommerce businesses that want to connect search with customer data, promotions, CRM and loyalty featues.

If you’re ready to deliver faster, smarter and more connected shopping experiences, get a quote today.

FAQs

What is an intelligent search engine?

An intelligent search engine uses AI and machine learning to understand user intent, handle typos or vague queries and deliver relevant results based on context and behavior.

What is smart search in e-commerce?

This is an advanced site search beyond keyword matching. It understands natural language, personalizes results and improves product discovery, increasing conversions.

What are search engines in e-commerce?

E-commerce search engines help shoppers find desired products on a website. They index the product catalog and return relevant results based on search terms and filters.

What is the #1 e-commerce platform?

There’s no single #1 platform for all business users. It depends on your size, goals and tech needs. For enterprise retailers that want advanced search, personalization and integrated tools for CRM, loyalty and promotions, Loadstone checks all the boxes.