StoreCensus

How Many Shopify Stores Use Boost AI Search & Filter?

3,570 Shopify stores currently have Boost AI Search & Filter installed, representing 0.2% of all active Shopify stores.

✓Last updated today (October 27, 2026)

At a glance: Boost AI Search & Filter is the #302 most-installed Shopify app of the 4,193 with active installs, and #2 of 40 in Search and filters. It is most often installed alongside Klaviyo: Email Marketing & SMS and Judge.me Product Reviews App. Its largest market is United States (35% of its stores).

Total Installs
3,570
Market Share
0.2%
Category
Search and filters
90-Day Trend
-1.5%

Boost AI Search & Filter Install Statistics

Boost AI Search & Filter is installed on 3,570 of the 2,139,595 active Shopify stores worldwide tracked by StoreCensus. This makes it a notable player in the Search and filters category.

Unlike the Shopify App Store's historical download counts, our data reflects current active installations. We detect Boost AI Search & Filter through storefront signature analysis across millions of stores, providing accurate real-time adoption metrics that matter for market analysis and competitive intelligence.

Growth Trends

Over the past 30 days, Boost AI Search & Filter has gained 435 net installs, representing a 13.9% change from 3,135 installs. The 90-day trajectory shows decline of 53 installs (-1.5%).

Year-over-year, Boost AI Search & Filter has declined by 1%, moving from 3,607 installs to 3,570.

Who Uses Boost AI Search & Filter? Revenue Breakdown

Boost AI Search & Filter shows strong adoption among established businesses, with 100% of users operating stores generating over $100K annually. The platform attracts a balanced mix across revenue tiers, though 0% of stores fall under $50K in annual revenue, indicating accessibility for emerging brands. The 52% penetration among $1M+ stores demonstrates enterprise-level trust, where merchants typically maintain complex tech stacks and face high switching costs.

Revenue TierStoresPercentage
$10M+90.3%
$1M – $10M36811.3%
$100K – $1M1,33240.9%
<$100K1,55147.6%

Top Industries Using Boost AI Search & Filter

Fashion & Apparel leads adoption at 16%, followed by Home & Garden at 14% and Sports & Outdoors at 10%. Together, these three verticals represent over half of Boost AI Search & Filter's install base. This concentration reflects industries where email marketing drives significant repeat purchase revenue through seasonal campaigns, product launches, and loyalty programs that benefit from sophisticated segmentation and automation capabilities.

Fashion & Apparel
15.6%
Home & Garden
13.7%
Sports & Outdoors
10.2%
Jewelry & Accessories
7.8%
Health & Wellness
4.6%

Geographic Distribution

35% of Boost AI Search & Filter stores are in United States, in line with its 34% share of all Shopify stores. 11% of Boost AI Search & Filter stores are in United Kingdom, more than its 8% share of all Shopify stores. 9% of Boost AI Search & Filter stores are in Australia, more than its 4% share of all Shopify stores.

#1
United States
34.6%
1,230 stores
#2
United Kingdom
10.7%
381 stores
#3
Australia
8.8%
313 stores
#4
Canada
7.8%
277 stores
#5
Japan
3.9%
137 stores

Apps Commonly Used With Boost AI Search & Filter

Stores using Boost AI Search & Filter typically build comprehensive retention-focused tech stacks. 46% also use Klaviyo: Email Marketing & SMS for email marketing, while 27% pair it with Judge.me Product Reviews App for product reviews. The 19% overlap with Instafeed ‑ Instagram Feed indicates merchants unifying customer communication across email, SMS, and support channels. This pairing pattern reveals stores prioritizing customer lifetime value optimization over one-time acquisition, with integrated tools for reviews, loyalty, and recurring revenue.

Market Position in Search and filters

Boost AI Search & Filter competes in the Search and filters category with 3,570 installs, compared to Rebuy Personalization Engine's 11,147.

Install data shows market position by adoption — but organic discoverability is another dimension. See which keywords Boost AI Search & Filter ranks for in App Store search to understand its full competitive footprint.

Frequently Asked Questions

How many Shopify stores use Boost AI Search & Filter?

As of October 27, 2026, 3,570 Shopify stores have Boost AI Search & Filter installed, representing 0.2% of all active Shopify stores tracked by StoreCensus.

Is Boost AI Search & Filter growing or declining?

Boost AI Search & Filter has gained 435 net installs over the past 30 days (13.9% change) and lost 53 installs over 90 days (-1.5% change). Year-over-year growth is -1.0%.

What types of stores use Boost AI Search & Filter?

Boost AI Search & Filter is most popular in Fashion & Apparel (15.6% of users), followed by Home & Garden (13.7%). The app is used across stores of all sizes.

How often is Boost AI Search & Filter data updated?

StoreCensus updates Boost AI Search & Filter installation data weekly through continuous monitoring of 2,139,595+ active Shopify stores. We detect installations through storefront signature analysis, providing accurate current install counts rather than historical download numbers.

How does Boost AI Search & Filter compare to competitors?

Boost AI Search & Filter holds a 0.2% market share in its category. To see how it compares to direct competitors, check the Market Position section on this page which shows install counts and market share for similar apps in the same category.

Should I install Boost AI Search & Filter for my Shopify store?

With 3,570 active installations, Boost AI Search & Filter is a growing solution. Consider the 90-day growth trend (-1.5%) to understand momentum, and review the industry breakdown to see if stores similar to yours use it. Always test on a development store first and check recent app store reviews for current user sentiment.

3,570 Shopify stores currently use Boost AI Search & Filter. This data is updated weekly based on continuous monitoring of 2,139,595+ active Shopify stores.

Target Stores Using Boost AI Search & Filter

Build targeted prospect lists of stores using Boost AI Search & Filter. Filter by revenue, industry, country, and more.

Market Intelligence

Market Position

Niche Adoption
3,570
Active Installs
0.20%
Market Penetration

Boost AI Search & Filter is installed on 3,570 of the 2,139,595 Shopify stores tracked by StoreCensus, representing a 0.20% market penetration rate. It is categorized under Search and filters.

App Adoption

What This Means

Boost AI Search & Filter is installed on 3,570 Shopify stores, representing 0.2% of all tracked stores. This adoption level reflects a focused user base within a specific merchant segment.

Over the past 90 days, Boost AI Search & Filter has lost 53 net installs (-1.5%). Negative 90-day momentum may reflect competitive pressure or merchant churn within the category.

Boost AI Search & Filter is frequently installed alongside Klaviyo: Email Marketing & SMS and Judge.me Product Reviews App, suggesting merchants use it as part of a broader technology stack rather than as a standalone solution.

Interpretations are based on observed StoreCensus data. Directional observations only - not financial or business advice.

Research Summary

Boost AI Search & Filter: Key Findings

Based on StoreCensus tracking of 2,139,595 active Shopify stores.

App Ecosystem

Boost AI Search & Filter in Context

How Boost AI Search & Filter relates to other apps in the Shopify ecosystem, based on co-installation patterns and category relationships.

Co-installation data is derived from observed patterns across StoreCensus-tracked stores. Overlap percentages indicate the share of Boost AI Search & Filter users who also have the listed app installed.

Dataset Coverage

StoreCensus currently tracks:

Data is refreshed on a weekly basis and reflects observed platform activity across active ecommerce stores. StoreCensus detects app and plugin installations through storefront signature analysis including JavaScript signatures, API calls, and HTML markers — measuring current active installations, not historical download counts.

Research Methodology

How StoreCensus Collects This Data

Store Discovery

StoreCensus continuously discovers and indexes active Shopify storefronts globally. Our crawler identifies 2,139,595+ live stores through domain analysis, platform signals, and third-party data sources.

App Detection

App and plugin installations are detected through storefront signature analysis — including JavaScript bundle signatures, API endpoint patterns, HTML data attributes, and network request fingerprints. This identifies apps that are currently active, not merely historically downloaded.

Historical Tracking

Each store is re-scanned on a recurring basis. Historical snapshots are retained to calculate 30-day, 90-day, and year-over-year growth rates. This enables trend analysis that reflects actual merchant behavior over time, not just point-in-time counts.

Disclaimer: Estimated metrics (revenue, traffic) should be considered directional estimates rather than audited financial data. Active install counts reflect StoreCensus detection capability and may not capture 100% of installations for apps with non-standard implementation patterns.

Data Source: StoreCensus proprietary ecommerce datasets. How We Calculate Statistics →
Research Notes

This page presents data from the Boost AI Search & Filter Installation Statistics proprietary StoreCensus dataset. Statistics may change over time as stores are discovered, removed, or updated in our index.

StoreCensus does not receive compensation from app developers or vendors for rankings or placement. All rankings are determined solely by observed installation data across tracked Shopify storefronts.

  • •Rankings are determined solely by observed installation data. StoreCensus does not accept payment for rankings or placement.
  • •Install counts reflect active installations detected at time of last scan. Stores that have recently installed or uninstalled the app may not yet be reflected.
Last Updated: Publisher: StoreCensusUpdate Frequency: WeeklyCoverage: Global Shopify storefrontsHow We Calculate Statistics →
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