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Boost Commerce

Product filter and search for Shopify, built for SMB merchants

Boost Commerce is a Shopify app developer based in Vietnam that makes Boost AI Search & Filter, a search and filters app on the Shopify App Store. It provides AI search, filters, product discovery, recommendations and merchandising for Shopify merchants. Among the 14,721 Shopify brands over $5M that dtcmvp tracks, 915 (6.2%) run Boost AI Search & Filter, #2 of 79 search and filters apps by that count. Its share is highest among Fashion & Apparel (7.9%), Electronics & Tech (7.8%) and Home & Living (7%) brands. It is rated 4.7 out of 5 from 1,630 reviews on the Shopify App Store. It carries Shopify's Built for Shopify badge. Paid plans start at $29 a month, and it has a free plan.

Boost Commerce replaces Shopify's default search and filter with a Shopify-native product discovery layer, plus visual merchandising and related-product tools on collection pages. Built for smb brands that have outgrown native search but don't need enterprise pricing from Algolia or Searchspring. Best fit for catalogs large enough that shoppers struggle to find the right product on their own.

What Boost Commerce does for Shopify brands

  • Better filter & search converts shoppers who would have bounced on native Shopify search
  • Visual merchandising & related-product recs lift basket size on existing buyers
  • On-site search & filter tools typically report 3-8% cvr lift and 1-3% aov lift

Among Shopify brands over $5M

Brands running Boost Commerce
6.2%
915 of 14,721 brands dtcmvp tracks
Rank in search and filters
#2 of 79
By how many of those brands run each app
All brands over $5M6.2%
Fashion & Apparel7.9%
Electronics & Tech7.8%
Home & Living7%

Share of each sector's brands running it, where that beats the overall rate.

On the Shopify App Store

  • Boost AI Search & Filter

    4.7 · 1,630 reviews
    Built for ShopifyFree planPaid from $29/moOn 6.2% of brands over $5MLaunched 2017Search and filters

    Maximize sales with a full-fledged product discovery solution: Shopify filter & AI search app. Level up recommendation & merchandising with ease. Try for FREE!

Ratings, reviews, plans, prices and descriptions as the Shopify App Store lists them. how we count.

Alternatives to Boost Commerce

The most used search and filters apps among Shopify brands over $5M.

AppBrands over $5MApp Store
Searchanise Search & Filter · Searchanise6.3% 4.7 · 1,256
Algolia AI Search & Discovery · Algolia2.2% 3.6 · 44
Nosto · Nosto Solutions Ltd2.1% 4.7 · 61
Fast Simon AI Search & Filters · Fast Simon1.5% 4.8 · 353
Klevu0.7% 4.9 · 13
RS · Rapid Search0.6% 4.9 · 400

Often used with Boost Commerce

What its brands run more often than Shopify brands over $5M do overall.

What Shopify apps does Boost Commerce make?

Boost Commerce has 1 app on the Shopify App Store: Boost AI Search & Filter.

How many Shopify brands use Boost Commerce?

Among the 14,721 Shopify brands over $5M that dtcmvp tracks, 915 (6.2%) run Boost AI Search & Filter, #2 of 79 search and filters apps by that count. Its share is highest among Fashion & Apparel (7.9%), Electronics & Tech (7.8%) and Home & Living (7%) brands.

What are the alternatives to Boost Commerce?

The most used search and filters apps among Shopify brands over $5M, after Boost Commerce: Searchanise Search & Filter (6.3%), Algolia AI Search & Discovery (2.2%), Nosto (2.1%), Fast Simon AI Search & Filters (1.5%), Klevu (0.7%) and RS (0.6%).

What do Boost Commerce's brands use alongside it?

Of the brands running Boost Commerce, 14.3% also run Swym Back in Stock Alerts, 15.3% also run Shogun, 23% also run Swym Wishlist Plus, 13.2% also run Consentmo GDPR Compliance and 13.3% also run Amp Back in Stock & Preorder +. Each is at least 1.6 times as common among them as across all brands over $5M.

How is Boost AI Search & Filter rated?

Boost AI Search & Filter is rated 4.7 out of 5 from 1,630 reviews on the Shopify App Store.

How much does Boost Commerce cost?

Boost Commerce's paid plans start at $29 a month, and it has a free plan.

Updated 2026-09-10. Method notes and every source: how we count →

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