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ParticleSearch for Shopify

Help Shopify customers find the right product. Give merchants a clear fix.

ParticleSearch connects your Shopify catalog to the words customers actually use: SKUs, part numbers, sizes, colors, product types, and plain English. Merchants can review what was searched, what was found, and what needs attention before publishing a change.

Eligible 30-day free trial · Shopify confirms billing and trial eligibility · Plans start at $79/month

Illustrative shopper surface

Find “blue glazed table lamp”

Illustrative result set

Refine

Type · Table lamp

Colour · Blue

Stock · Available

Blue ceramic lamp

Variant cues · Quick add

Glazed table lamp

Match evidence · Price

Illustrative merchant workspace

“table” is the next query to inspect

Review evidence, compare a draft, then publish.

Draft ready to compare
Live Draft Compare

Source data → result candidates

Result → product or variant action

Evidence → merchant change

Why search needs a system

Search is a path, not a box.

A shopper experiences one moment, “help me find the right product,” but several systems decide whether that moment succeeds. The useful repair depends on where the path breaks.

ParticleSearch gives those boundaries different homes so a merchant can repair the source catalogue, search behavior, refinement, or storefront handoff without treating every failure as a ranking problem.

Catalogue data

The product is not eligible

If the source catalogue is missing a product, field, SKU, or available variant, search cannot retrieve evidence that is not there.

Search coverage

The right product is not retrieved

If a valid product is absent from the candidate set, changing its position later will not fix the query. The retrieval path needs attention first.

Filters and values

The result cannot be narrowed

A shopper may see relevant products but still be unable to choose by type, colour, size, availability, or another useful catalogue value.

Storefront integration

The handoff loses the choice

A result is not finished when it is clicked. The product page, selected variant, price, availability, and next action must remain coherent.

The merchant outcome

Give shoppers a clearer path to the product.

ParticleSearch helps turn the demand already reaching your store into clearer paths to a product, a conversion, and the next useful discovery. Your team also gets the evidence and actions to improve that path. It is a system for making the opportunity visible, not a guarantee of incremental revenue.

Protect the store experience

Review search-processing time separately from network and browser work, while incremental product and inventory updates keep the search index aligned with the store.

Make conversion paths clearer

Help shoppers move from a phrase or identifier to a relevant product, variant, and eligible next action. On Scale, review orders linked to search activity as observed shopper paths.

Use catalog intelligence

See the product, variant, availability, and query evidence behind a result so missing or incorrect source facts can be repaired where they belong.

Turn evidence into action

Convert a repeatable search problem into the right bounded intervention, such as a synonym, redirect, ranking, or merchandising change, then compare and publish it with a record.

The two operating surfaces

One shopper path. One merchant loop.

The storefront helps a shopper move from a question to a product action. The merchant workspace explains what happened and gives the team a bounded way to improve it.

Available after setup

The shopper path from question to action

Help shoppers start with suggestions and recent intent, move into relevant product results, refine with filters, and reach the right product or variant without losing their context. Modal and full-page search use the same catalogue truth.

ParticleSearch storefront search modal showing suggested searches, newest products, product images, prices, and a clear path into product discovery

Optional merchant controls

The merchant loop from evidence to change

Review search activity, catalogue coverage, storefront health, and product actions before choosing the smallest change that can address a specific query problem. These controls are for teams that need to tune, compare, and govern search deliberately.

ParticleSearch merchant dashboard showing storefront status, next query to inspect, search activity, products found, product actions, and review queue

Storefront capability

Support exact lookup, discovery, filtering, and product comparison.

Known-item lookup, broad discovery, collection refinement, and product comparison need different controls, with one consistent catalogue and storefront contract.

SKU, barcode, model, and variant lookup

Search exact identifiers and option evidence when those values are present and eligible in the Shopify catalogue.

Modal and full-page search

Use a compact search modal for fast lookup and a full results page when shoppers need room to compare and refine.

Filters built for real catalogues

Show live counts, search within long filter values, preserve active state, and move refinement into a mobile drawer.

Product actions close to the result

Keep price, sale state, availability, option cues, product details, and eligible quick-add actions close to shopper intent.

Recovery and discovery paths

Support typo correction, related searches, content results, and recommendation placements without presenting every suggestion as a match.

Collection-aware browsing

Opt selected collection routes into scoped search, filters, sorting, and pagination without silently escaping the collection.

Merchant control loop

Fix one query without guessing what is live.

ParticleSearch keeps the evidence, intervention, draft comparison, published rule, and later outcome in one operating path.

  1. Step 01

    Find the query worth reviewing

    Move from shopper-search trends, zero-result patterns, product actions, and repeated evidence to one concrete query.

  2. Step 02

    Choose the intervention that owns the problem

    Use a synonym for a true substitute, a redirect for navigation, ranking for order, or merchandising for a bounded campaign.

  3. Step 03

    Compare live search with the draft

    Run the proposed change against the same search path the storefront uses instead of trusting a local approximation.

  4. Step 04

    Publish a change you can explain

    Confirm what is active, then keep important product queries in a small repeatable test set so future changes do not quietly undo the result.

ParticleSearch merchant query tools showing the full synonyms workspace, catalogue checks, and live synonym groups

Product and infrastructure proof

See search processing separately from storefront load time.

ParticleSearch keeps search processing separate from network delivery and browser rendering. That distinction helps merchants identify whether a slow or broken experience belongs to search, the storefront, or the handoff between them.

Search processing

measured as its own layer

Separate search processing from network delivery, theme scripts, browser work, and rendering when diagnosing a storefront experience.

Live, draft, compare

merchant query workflow

Verify a focused change against the same storefront search path before publishing it.

Source → storefront

catalogue handoff

Keep the path from Shopify product and inventory changes to searchable storefront evidence reviewable.

Search processing is only one layer of the storefront experience. Use the merchant workflow to separate catalogue, API, network, theme, browser, and rendering questions before choosing an intervention.

Use a separate search layer when the gap is repeatable.

Native Shopify search is a sensible starting point. ParticleSearch becomes worth testing when important queries repeatedly fail, shoppers need identifiers or variant evidence, or the team needs a clear path from search evidence to a controlled change. Start the eligible trial, connect the catalogue, and run the queries your shoppers actually use.

  • Important queries fail more than once.
  • Search needs exact identifiers, options, or variants.
  • The team needs evidence before changing live behavior.
  • You want to compare and publish a bounded repair.

What stays with your team

  • Missing or incorrect catalogue facts still need to be repaired in the source system.
  • The Shopify theme app embed must be enabled and the published storefront verified.
  • Attributed order value is path evidence, not proof that search caused incremental revenue.
  • A merchant still owns synonyms, redirects, ranking choices, campaigns, and the decision to publish.

Before you install

Know what changes before you install.

What changes on my Shopify storefront?+

ParticleSearch is delivered through a Shopify theme app embed. After billing and catalogue preparation, the merchant enables the embed, verifies the storefront runtime, and chooses the supported search, collection, content, product-card, and recommendation settings that fit the store.

Can ParticleSearch find SKUs and variants?+

Yes, when the SKU, barcode, option, model, or other identifier exists in an eligible Shopify product or variant record. The storefront can show the evidence and preserve an identifiable variant handoff; search cannot invent a value missing from the source catalogue.

Does ParticleSearch guarantee a faster storefront?+

No search app can guarantee the same end-to-end time for every storefront. Search processing, network delivery, CDN behaviour, browser work, theme scripts, images, and rendering are separate layers. ParticleSearch helps you inspect those boundaries instead of treating one timing number as the whole experience.

What should I do during the trial?+

Run exact identifiers, common product phrases, a known typo, the largest collection, mobile filters, product and variant handoff, and one query your current search gets wrong. Then inspect the dashboard evidence, preview one bounded repair, and verify the published storefront.

When is Shopify native search enough?+

Stay native when your important queries, predictive and full-page surfaces, largest collections, mobile filters, and reporting needs already pass. ParticleSearch is useful when the storefront gap is repeatable and the team needs a dedicated operating surface to investigate and change it.

Bring the queries your current storefront gets wrong.

Test the shopper result, the product or variant handoff, the dashboard evidence, and one merchant change before deciding whether ParticleSearch fits.