On-site search and filtering

Boost AI Search & Filter

By Boost Commerce

Use Boost when catalogue discovery has outgrown Shopify’s native search but enterprise search is not yet justified.

The verdict

Is Boost AI Search & Filter right for you?

Choose it if...

  • Medium and large catalogues
  • Teams needing richer collection filters and merchandising

Look elsewhere if...

  • Very small catalogues adequately served by native search
StackFit’s view

It is a strong growth-stage option for richer filters, merchandising and search controls across a larger catalogue.

See the full product summary

Boost AI Search & Filter provides search relevance, collection filters, merchandising rules for Shopify stores.

What you get

The main outcomes to expect.

Focus on the capabilities that solve a real customer or operational problem.

  • Search relevance
  • Collection filters
  • Merchandising rules
Setup effortHeavier setup
Best ownerA named ecommerce owner should control the on-site search and filtering brief, implementation, checks and ongoing results.
ConnectionsCheck with the vendor

Getting started

A practical route to launch.

Scan the stages first. Open only the instructions you need while completing the work.

Before you startHave these essentials ready
  • Clean product attributes and taxonomy
  1. 01
    PlanAudit top searches, zero-result queries, filter usage and merchandising requirements.
  2. 02
    ConfigureConfigure synonyms, ranking rules, filters and collection behaviour in Boost AI Search & Filter.
  3. 03
    ConfigureTest theme integration, mobile usability and catalogue edge cases.
  4. 04
    ConfigureLaunch to a controlled traffic or catalogue segment where possible.
  5. 05
    TestMeasure search conversion, zero-result rate, product discovery and revenue per search session.

Detailed walkthrough

01PlanAudit top searches, zero-result queries, filter usage and merchandising requirements.

Record the current setup, the problem Boost AI Search & Filter must solve, the owner and the starting result. Complete audit top searches, zero-result queries, filter usage and merchandising requirements. in a test or controlled environment before changing the live journey.

What you should have
A documented and working audit top searches, zero-result queries, filter usage and merchandising requirements. stage with a named owner.
How to check it
Confirm the setup works, then record search conversion rate.
02ConfigureConfigure synonyms, ranking rules, filters and collection behaviour in Boost AI Search & Filter.

Complete configure synonyms, ranking rules, filters and collection behaviour in boost ai search & filter. using only the settings needed for the agreed use case. Document the choice, owner and rollback route before moving to the next stage.

What you should have
A documented and working configure synonyms, ranking rules, filters and collection behaviour in boost ai search & filter. stage with a named owner.
How to check it
Confirm the setup works, then record zero-result search rate.
03ConfigureTest theme integration, mobile usability and catalogue edge cases.

Complete test theme integration, mobile usability and catalogue edge cases. using only the settings needed for the agreed use case. Document the choice, owner and rollback route before moving to the next stage.

What you should have
A documented and working test theme integration, mobile usability and catalogue edge cases. stage with a named owner.
How to check it
Confirm the setup works, then record revenue per search user.
04ConfigureLaunch to a controlled traffic or catalogue segment where possible.

Complete launch to a controlled traffic or catalogue segment where possible. using only the settings needed for the agreed use case. Document the choice, owner and rollback route before moving to the next stage.

What you should have
A documented and working launch to a controlled traffic or catalogue segment where possible. stage with a named owner.
How to check it
Confirm the setup works, then record search conversion rate.
05TestMeasure search conversion, zero-result rate, product discovery and revenue per search session.

Complete measure search conversion, zero-result rate, product discovery and revenue per search session., then run the full customer and operational journey on mobile and desktop. Record every exception and resolve serious failures before launch.

What you should have
A signed test record with the intended journey working and no serious exception left open.
How to check it
Confirm the setup works, then record search conversion rate.
See the full planning checklist
  • Whether the first launch needs search relevance or whether it can wait
  • Whether the first launch needs collection filters or whether it can wait
  • Whether the first launch needs merchandising rules or whether it can wait

Using it well

A simple operating rhythm.

You do not need to inspect everything every day. Use this schedule to focus on the right checks.

Before launch

Save the plan and baseline

A clear baseline makes later value and troubleshooting easier to judge.

What to do and track
What to do

Save the approved Boost AI Search & Filter brief, settings, owners and starting results.

Useful output

Approved brief, configuration record and baseline

Read the official guidance
Every week

Review feedback and exceptions

A short regular review catches customer and operational problems before they become normal.

What to do and track
What to do

Review search conversion rate and zero-result search rate against the starting point. Investigate material changes rather than reacting to every fluctuation.

Useful output

Search conversion rate

Every month

Check commercial value

Revenue or activity inside an app is not the same as incremental profit or customer value.

What to do and track
What to do

Compare the value created with the full cost of Boost AI Search & Filter, including team time, discounts, support demand and connected tools.

Useful output

Monthly keep, improve or remove decision

After major changes

Re-test anything affected

Search tools cannot compensate for incomplete catalogue attributes.

What to do and track
What to do

Re-test Boost AI Search & Filter after theme, checkout, catalogue, consent, integration or workflow changes.

Useful output

Passed end-to-end regression check

Read the official guidance

Success check

How to know it is working

  • Search conversion rate
  • Zero-result search rate
  • Revenue per search user

Cost and cautions

Know the commitment before you choose.

Starting price
From USD 29/month
Typical range
USD 29 to 29/month
Pricing model
Subscription

This is a dated pricing snapshot and must be rechecked before publication or purchase.

Check current pricing before purchasing. Snapshot checked 17 July 2026.

01

Search tools cannot compensate for incomplete catalogue attributes.

02

Requires clean product attributes and ongoing merchandising ownership.

Questions and evidence

Answers without the research overload.

How much work does Boost AI Search & Filter take to set up?

Heavier setup is the current planning guide. Before installing it, confirm clean product attributes and taxonomy, then test the complete customer and operational journey.

What should I measure after launching Boost AI Search & Filter?

Start with search conversion rate, zero-result search rate, revenue per search user. Compare those measures with the pre-launch baseline and include app cost and operating time.

What should I check before installing Boost AI Search & Filter?

Confirm clean product attributes and taxonomy. Do not launch until the owner and a measurable reason for the app are clear.

When should I avoid Boost AI Search & Filter?

Very small catalogues adequately served by native search

What alternatives to Boost AI Search & Filter should I compare?

Compare Shopify Search & Discovery for simplicity or Klevu for enterprise search.. Shortlist by the specific job, total cost, integrations and ongoing work rather than feature count alone.

Ready to move?

Choose the route that matches your confidence.

Still unsure

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