Searchspring vs Boost AI Search & Discovery Comparison | Features, Pricing & Reviews | Krowdbase

Searchspring vs Boost AI Search & Discovery Comparison: Everything You Need to Know Before Choosing

Explore a comprehensive comparison of Searchspring and Boost AI Search & Discovery to understand how they differ in features, pricing, category, and overall performance. Whether you're evaluating software for a small team or a growing enterprise, this guide helps you identify the solution that best aligns with your needs.

Searchspring Vs Boost AI Search & Discovery: Compare Features, Pricing & Overall Value

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Searchspring logo
Searchspring

Searchspring is the #1 search, merchandising, and personalization platform built exclusively for ecommerce.

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Boost AI Search & Discovery logo
Boost AI Search & Discovery

Cloud-based visual search solution that helps businesses streamline product navigation via custom filters, tags, metafields, and more.

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General Information
Overview
Athos Commerce, formerly Searchspring, delivers the ultimate shopping experience. As the #1 search, merchandising, and personalization platform built exclusively for ecommerce, Athos Commerce enables brands to get the right product, to the right person, at the right time. With Athos Commerce, customers such as Chubbies, Pura Vida, Moen, Fabletics, Peet s Coffee, SKIMS, West Elm, Specialized, Wildfang, and Ripcurl are increasing cart size, conversion, and repeat customers.
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Boost AI Search & Discovery is a product search and navigation application for Shopify stores, developed by Boost Commerce, that helps merchants improve how shoppers find products through intelligent search, custom filters and merchandising tools. Online stores with large or complex catalogues often struggle with default search and collection pages, which may return irrelevant results, fail to handle typos or synonyms, and offer limited filtering options. Poor product discovery increases bounce rates and reduces conversion. Boost addresses this by replacing or enhancing native search and filtering with a more sophisticated engine that draws on product data such as tags, metafields, variants and inventory status. Its approach combines AI-powered relevance, visual merchandising and analytics, so that merchants can guide shoppers towards relevant items and continuously refine the shopping experience based on actual behaviour. Key features include instant search with autocomplete, typo tolerance and synonym handling, customisable product filters built from options, tags, metafields, price, vendor and stock status, and merchandising controls that let merchants pin, boost or bury products in search results and collections. AI-driven product recommendations support cross-selling and upselling on product, cart and home pages, while visual search and personalisation features help shoppers discover items more easily. Analytics reveal popular search terms, queries with no results and filter usage, informing catalogue and merchandising decisions. The app integrates with Shopify and Shopify Plus themes, including Online Store 2.0, and supports multi-language and multi-currency stores, as well as compatibility with review, wishlist and page builder apps. It is cloud-based and installed via the Shopify App Store. Target customers include small and large Shopify merchants in fashion, electronics, beauty, home goods and other sectors with sizeable catalogues. A free version is available, a free trial is offered, and paid plans start from around USD 29 per month.
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Pricing
Price
$599/Per Month
$29/Per Month
Free Trial
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Available
Vendor Details
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Features
Promotions Management
Reporting/Analytics
API
Email Marketing
Recommendations
Website Personalization
AI/Machine Learning
Data Import/Export
Document Management
Full Text Search
Fuzzy Search
Natural Language Search
Search/Filter
API
Data Import/Export
Natural Language Processing
Recommendations
Third-Party Integrations
Catalog Management
For Small Businesses
Catalog Management
Customer Activity Tracking
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Frequently Asked Questions Searchspring vs Boost AI Search & Discovery

Searchspring and Boost AI Search & Discovery differ in their features, pricing, user experience, integrations, deployment options, and overall capabilities. The right choice depends on your business goals, team size, budget, and specific requirements. Compare both solutions side by side to understand which platform better fits your needs.

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