Boost AI Search, listed as Boost AI Search & Filter in the Shopify App Store and Boost AI Search & Discovery in its documentation, is an all-in-one product discovery platform. It replaces or extends native search and collection navigation, then adds merchandising, recommendations, bundles, pre-order, back-in-stock, and analytics tools. This breadth suits larger catalogs and merchandising teams, but can be more platform than a small store needs.
Key features
- Smart and AI search: Handle typos, vague wording, synonyms, stop words, redirects, and no-result queries while controlling which product fields are searchable.
- Advanced product filters: Build different filter trees for collections and search pages using tags, metafields, variants, availability, custom values, layouts, and display styles.
- Visual merchandising: Pin, boost, demote, hide, or reorder products and run campaigns that shape collection and search results around commercial priorities.
- Recommendations and bundles: Add AI or rule-based recommendations, frequently bought together widgets, predictive bundles, pre-order, and back-in-stock experiences, subject to plan and version.
- Analytics and global storefront support: Review search terms, no-result queries, filters, products, recommendations, and conversions, with support for Shopify Markets, multiple languages and currencies, and numerous theme and app integrations.
Pricing and trial information
Boost offers a 21-day free trial. Current Shopify App Store pricing starts with Launch at $29 per month. The exact Launch price can rise to $159 for stores below $50,000 in monthly GMV. Convert starts at $299 and can rise to $599 for stores below $400,000 GMV. Accelerate starts at $699 and can reach $1,499 for stores below $2.5 million GMV. Larger stores can request Enterprise pricing.
Pricing is based on Base GMV, calculated as the average of the previous three full months using product list prices before discounts, taxes, shipping, and returns. Boost may also charge $2 for every $1,000 above the plan's GMV limit, subject to its cap rules. Merchants should therefore model the cost at current and expected sales, not just compare the $29 entry price. Feature limits also vary by package, including filter trees, campaigns, sync frequency, analytics history, personalization, and B2B tools.
Rating and reviews
Boost currently holds a 4.8 out of 5 rating from about 1,500 Shopify App Store reviews. Approximately 94% are five-star ratings. The merchant summary and recent reviews repeatedly praise the flexibility of search and filters, reliability on large catalogs, long-term use, and responsive support that helps with styling, theme changes, and custom storefront problems.
The small group of negative reviews is important because Boost changes a customer-facing part of the store. Reported issues include theme or app conflicts, a setup that feels too extensive for a simple catalog, and code or hidden native sections that require cleanup after uninstalling. Strong support reduces this risk, but it also shows that implementation quality matters.
Pitfalls
The GMV-based model makes future cost less predictable than product-count or query-based pricing. A store can move into a higher tier or incur an overage as sales grow, even if search usage does not change. Advanced features shown in marketing are not all included at $29. Personalized search and recommendations are tied to higher packages, while filter-tree counts, merchandising campaigns, data history, sync frequency, B2B features, and notification allowances differ by plan.
Boost becomes part of the storefront search, collection, recommendation, and sometimes bundle experience. Theme compatibility, templates, app version, and integration steps all matter. Unsupported or heavily customized themes may require a Boost template or developer work. Before uninstalling, Boost recommends running Theme Revert. Otherwise, theme code or hidden native product grids and search results may need manual cleanup.
The app also requests broad access to customer data, products, all order history, discounts, themes, translations, Markets settings, and inventory. Some recommendation algorithms require order permissions. Merchants should review whether each enabled feature justifies that access and test search relevance, mobile layouts, accessibility, analytics, and fallback behavior before replacing Shopify's native discovery components.
Conclusion
Boost AI Search is best for stores where product discovery is commercially important: large or complex catalogs, frequent merchandising campaigns, multilingual Markets setups, and teams that will act on search analytics. Its feature depth and support record are strong, but small stores with straightforward navigation should test Shopify Search & Discovery first. Before subscribing, calculate the GMV-based cost, list the exact higher-tier features required, and test the theme integration during the full 21-day trial. For custom storefront implementation or an independent QA pass, our Shopify support service can help with theme, app, and conversion-flow work.
