Search is one of the most overlooked areas of ecommerce optimisation, particularly for growing stores with expanding product catalogues.

Many retailers invest heavily into SEO, paid advertising and email marketing, only for customers to struggle finding products once they arrive onsite. Poor search relevance, weak filtering and inconsistent merchandising can quietly damage conversion rates and average order values over time.

Modern ecommerce search tools now go far beyond simple keyword matching. Many platforms now use behavioural data, merchandising logic and AI ecommerce search functionality to improve product discovery, autocomplete, filtering and personalised search experiences.

Having worked with a range of ecommerce search and product discovery tools across both Magento and Shopify stores, I’ve put together this guide covering some of the strongest ecommerce search platforms available and where they tend to fit best operationally.

What makes a great Ecommerce Search Tool?

When evaluating ecommerce product search and discovery platforms, there are a few core areas that tend to make the biggest difference commercially.

Relevance and Search Accuracy

Customers expect search results to feel intelligent. Features like typo tolerance, synonym handling and natural language processing help users find products faster, even when search queries are imperfect.

Strong search relevance also has a direct impact on ecommerce conversion rates and wider product discovery performance, particularly on larger ecommerce stores.

Filtering and Product Discovery

Filtering and faceted navigation become increasingly important as product catalogues grow. Strong filtering helps reduce friction and improves product discovery, particularly for stores with complex catalogues or large product ranges.

This becomes especially important on larger Magento ecommerce stores with extensive product attributes and layered navigation structures.

Merchandising Controls

One area retailers often underestimate is merchandising. Most enterprise ecommerce search tools allow you to promote products, boost categories, prioritise stock availability and influence search behaviour manually.

In practice, achieving strong search performance often requires ongoing tuning and merchandising rather than simply enabling a search platform and leaving it untouched.

Analytics and Reporting

Search analytics can be incredibly valuable. Understanding what customers search for, which searches convert and where users hit zero-result pages can highlight both merchandising opportunities and gaps within your catalogue structure.

Platform Compatibility

Implementation complexity varies significantly between platforms. Some ecommerce search tools are much better suited to Magento stores with complex catalogues, while others work extremely well for Shopify merchants looking for quicker deployment and easier management.

Search functionality also overlaps heavily with wider ecommerce conversion rate optimisation and onsite user experience improvements, particularly on larger stores.

Algolia

Why Algolia is One of the Best Ecommerce Search Tools

Algolia stands out for its speed, flexibility and search relevance. It delivers extremely fast search results alongside advanced features like typo tolerance, autocomplete and AI-driven ranking.

It is particularly well suited to larger ecommerce stores with extensive catalogues, custom frontend experiences or more advanced merchandising requirements.

One of Algolia’s biggest strengths is flexibility. It can support highly customised ecommerce experiences across both Shopify and Magento development projects, although this flexibility also introduces additional implementation complexity.

Retailers comparing enterprise ecommerce search platforms may also want to review my more detailed comparison of Algolia vs Klevu for ecommerce search.

Best suited for

  • Large ecommerce catalogues
  • Enterprise retailers
  • Custom frontend implementations
  • Stores with in-house technical resources
  • Retailers prioritising merchandising flexibility

Value and Pricing

Algolia is positioned as a premium ecommerce search platform, with pricing typically scaling based on search volume, indexing and feature usage.

For retailers with large catalogues and complex product discovery requirements, the investment can absolutely be justified. However, smaller stores may find the platform excessive both commercially and operationally.

Comparative Insight

In practice, Algolia often requires significantly more configuration and merchandising management than retailers initially expect. Product data quality, attribute structure and catalogue consistency still play a major role in search relevance regardless of how advanced the underlying search engine may be.

Klevu

Klevu’s AI-Powered Ecommerce Search Solution

Klevu positions itself heavily around AI ecommerce search and product discovery. Its self-learning search functionality adapts based on user behaviour, search patterns and product interactions over time.

The platform handles complex search queries well and generally provides a more managed experience compared to highly customisable platforms like Algolia.

Klevu is particularly popular amongst retailers looking for advanced ecommerce search functionality without needing to build heavily customised search infrastructure internally.

Best suited for

  • Mid-sized to enterprise retailers
  • Stores with large product ranges
  • Retailers prioritising AI-driven search
  • Businesses wanting a more managed solution

Value and Pricing

Klevu sits firmly within the premium end of the ecommerce search market. The platform offers strong AI functionality and merchandising tools, although implementation and monthly costs can become significant as stores scale.

Comparative Insight

Klevu often feels more operationally approachable than Algolia for retailers without large internal development teams. However, as with most AI-powered ecommerce search tools, strong results still depend heavily on catalogue structure, attribute quality and ongoing merchandising optimisation.

Nosto

Nosto: Personalised Search for Ecommerce

Nosto is widely known for personalisation and product recommendation functionality, although its search capabilities have expanded significantly over time.

The platform uses behavioural data and machine learning to personalise product discovery experiences around individual customer behaviour and browsing patterns.

For retailers focused heavily on personalisation, Nosto can integrate ecommerce search closely with broader merchandising and recommendation strategies.

Best suited for

  • Fashion and lifestyle retailers
  • Personalisation-focused ecommerce stores
  • Retailers prioritising merchandising
  • Brands with strong returning customer behaviour

Value and Pricing

Nosto generally sits within the mid-to-high pricing range depending on traffic levels and feature requirements. The value comes from combining personalisation, merchandising and product discovery within a single platform.

Comparative Insight

Nosto works particularly well for retailers where merchandising and personalised product discovery play a large role in the buying journey. Smaller stores with limited traffic volumes may find it harder to fully leverage some of the platform’s more advanced capabilities initially.

Clerk.io

Clerk.io: An Accessible Ecommerce Search Tool

Clerk.io balances advanced ecommerce search functionality with relatively straightforward implementation and usability. The platform focuses on delivering relevant search results alongside recommendation and merchandising functionality.

Compared to some enterprise-focused ecommerce search tools, Clerk.io tends to feel more accessible operationally for smaller retailers.

Best suited for

  • Small and medium-sized ecommerce businesses
  • Retailers seeking quicker implementation
  • Stores with smaller technical teams
  • Businesses looking for a balance between functionality and cost

Value and Pricing

Clerk.io offers more accessible pricing compared to some premium enterprise search platforms, making it attractive for growing ecommerce brands that still want advanced search capabilities without significant infrastructure investment.

Comparative Insight

Clerk.io provides a good balance between ease of use, functionality and affordability. While it may not offer the same level of deep customisation as platforms like Algolia, it remains a strong option for many ecommerce stores.

Platform specific ecommerce search options

Mirasvit Sphinx Search for Magento

Mirasvit Sphinx Search is a long-standing Magento-focused search solution offering core functionality like full-text search, layered navigation and filtering.

For Magento stores operating with tighter budgets or simpler search requirements, Mirasvit can provide a dependable and cost-effective option.

Magento retailers reviewing search improvements may also want to read my guide covering ecommerce search for Magento.

Best suited for

  • Magento stores
  • Smaller ecommerce businesses
  • Budget-conscious retailers
  • Stores with relatively straightforward catalogues

Value and Pricing

Mirasvit is considerably more affordable than many SaaS-based ecommerce search platforms, typically using lower annual licensing costs rather than scaling heavily with search usage.

Comparative Insight

Mirasvit lacks some of the advanced AI and personalisation functionality available within premium ecommerce search platforms. However, for many Magento stores, particularly those with cleaner catalogues and simpler merchandising requirements, it can still provide excellent value.

Boost AI Search and Filter for Shopify

Boost AI Search and Filter is one of the more popular Shopify-focused ecommerce search applications, combining search, filtering and merchandising functionality within a relatively accessible interface.

The platform is designed primarily around Shopify merchants looking for improved search relevance and filtering without requiring extensive custom development.

For Shopify merchants, I’ll also be covering ecommerce search for Shopify and how search ties into filtering, collections and product discovery more broadly.

Best suited for

  • Shopify stores
  • Small and medium-sized retailers
  • Merchants wanting quick implementation
  • Stores requiring improved filtering and collection navigation

Value and Pricing

Boost AI Search and Filter offers relatively accessible pricing for Shopify merchants, making it a practical option for growing stores that need stronger onsite search functionality without enterprise-level costs.

Comparative Insight

For many Shopify stores, Boost AI strikes a sensible balance between functionality, ease of implementation and affordability. While it may not offer the same level of flexibility as enterprise ecommerce search platforms, it can significantly improve product discovery compared to Shopify’s default search functionality.

Algolia vs Klevu

Algolia and Klevu are often compared because both target retailers looking for advanced ecommerce search functionality, although they approach the problem slightly differently operationally.

Algolia tends to favour flexibility and customisation, making it attractive for retailers with more complex technical requirements or highly customised ecommerce experiences.

Klevu, on the other hand, often feels more managed and operationally streamlined, particularly for retailers wanting AI-driven search improvements without building extensive custom search infrastructure internally.

The right choice usually depends less on feature lists and more on internal technical capability, catalogue complexity and how much merchandising control the business requires long-term.

You can also read my full comparison guide covering Algolia vs Klevu for ecommerce search.

FAQs

What is the best ecommerce search tool?

There is no single best ecommerce search tool for every retailer. The right platform depends heavily on catalogue size, merchandising requirements, budget and platform complexity.

Does ecommerce search improve conversion rates?

Yes. Strong ecommerce search functionality can significantly improve product discovery, reduce friction and increase conversion rates, particularly for stores with larger catalogues. I’ve covered this in more detail within my guide on how search affects conversion rate.

What is the best ecommerce search tool for Shopify?

For many Shopify stores, Boost AI Search and Filter provides a strong balance between functionality and affordability. Larger Shopify retailers may also consider platforms like Algolia or Klevu depending on complexity and merchandising requirements.

What is the best ecommerce search tool for Magento?

Magento stores often benefit from more advanced search platforms due to larger and more complex catalogues. Algolia, Klevu and Mirasvit are all commonly used depending on budget and operational requirements.

Is AI-powered ecommerce search worth it?

AI-powered ecommerce search can improve relevance, autocomplete and product discovery significantly. However, retailers still need strong product data, attribute structure and merchandising practices to get the best results.

Final Thoughts

The best ecommerce search platform depends heavily on catalogue size, merchandising requirements, platform complexity and operational maturity.

For some retailers, a lightweight Shopify-focused solution may be more than sufficient. For larger ecommerce stores with extensive catalogues and more advanced merchandising requirements, enterprise platforms like Algolia or Klevu can significantly improve product discovery and conversion rates when implemented properly.

However, search performance is rarely solved by software alone. Catalogue structure, attribute quality, merchandising strategy and ongoing optimisation all play a major role in delivering strong ecommerce search experiences.

If you’re currently reviewing ecommerce search functionality, you may also find these guides useful:

If you’re unsure which ecommerce search platform is right for your business, I can help. I’m an independent ecommerce consultant with hands-on experience implementing search and product discovery solutions across both Shopify development and Magento development projects.

Whether you’re reviewing your current ecommerce search setup or exploring new product discovery tools, feel free to get in touch to discuss your store’s goals.

Related Articles

17 Apr 2026

Ecommerce Search Best Practices

A practical guide to ecommerce search best practices, covering search relevance, filtering, merchandising, product discovery and conversion optimisation.

14 Apr 2026

AI Ecommerce Search Explained

A practical guide to AI ecommerce search, covering search relevance, product discovery, merchandising, personalisation and how AI is changing ecommerce search experiences.

10 Mar 2026

Algolia vs Klevu for Ecommerce Search

A practical comparison of Algolia vs Klevu for ecommerce search, covering flexibility, AI capabilities, merchandising, Magento, Shopify and operational considerations.

Ryan Findlay Ecommerce Consultant

Posted by Ryan Findlay

Ecommerce Consultant

An ex-senior manager in the Shopify and Magento agency space, I've spent over 10 years working closely with retailers to deliver full end-to-end technical solutions across a range of industries.

I now run an independent ecommerce consultancy with my partner where I look after consultancy, performance and management of technical work.

Get in touch Get in touch