Some links here may earn us a small commission. It has no bearing on what we recommend, and we have turned down partnerships that would have.

A 2026 buyer’s guide to Boost, Rebuy and Shopify’s native search and merchandising tools. Pricing verified October 22, 2026.

Getting there does not require the enterprise stack that agencies love to recommend to brands three times their size. It requires knowing which lever actually moves revenue at your current order volume, because this category runs from a free app to a six-figure implementation, and the wrong purchase at the wrong scale either starves a brand that needed more horsepower or saddles a brand that needed none with a contract it will spend a year growing into. So here is the version of that conversation we walk founders through before we touch their store, priced closely and read against the volume where the arithmetic actually changes. It runs about eight minutes, and by the end you will know which engine to install this month, what it costs once overage is counted honestly, and where the ceiling sits.

What this guide covers

• Why search and merchandising are one purchase decision rather than two, and the order-volume line where the calculus shifts.

• The four variables that actually decide this, including the one most founders discover only after their first overage invoice.

• Boost, Rebuy and Shopify’s native search and merchandising tools in full, with every published tier, re-verified on October 22, 2026, and what each one actually unlocks.

• A side-by-side table, followed by a recommendation written for the brand you are running rather than an average of all three.

• The questions founders ask us most, answered directly, including when a brand should skip this category entirely and jump straight to an enterprise platform.

The short version. A brand doing fewer than roughly three hundred orders a month, or carrying fewer than about five hundred products, is almost always better served by native search paired with Shopify’s free Search and Discovery app and a little manual collection curation, since neither Boost nor Rebuy earns its subscription below that line. Between roughly three hundred and four thousand orders a month, Boost’s GMV-based ladder, which opens at $29 and climbs in nine published steps to $1,499, delivers the most measurable lift per dollar for a brand whose problem is genuinely search relevance and merchandising rather than post-purchase revenue. Rebuy earns its keep where the real leak is the cart and the thank-you page rather than the search bar, since its per-package, order-metered pricing tends to reward a high-frequency catalog with an obvious second item more cleanly than a search upgrade would. Everything below is how those answers were reached and where each one stops holding.

Is your problem search, merchandising, or the cart, and does the order volume justify either fix?

Before any tool gets chosen, separate the three problems lumped together under “our site search is bad.” A search problem shows up as queries returning zero results or the wrong result for a plainly spelled term. A merchandising problem shows up as good products buried on page three of a collection nobody has reordered since launch. A cart problem shows up as a healthy add-to-cart rate followed by a checkout that never widens past a single item. Only the first two live inside this category; the third belongs to a cross-sell engine, which is where Rebuy actually plays even though it gets shopped against search tools by habit.

Order volume is the honest gate here, and the number worth anchoring on is roughly one thousand orders a month, which is where most vendor pricing tiers in this category actually cut, whether the metric is orders or GMV. A store below that line rarely has enough search traffic for relevance tuning to move the needle, and a merchandising engine reordering a twenty-item collection is solving a problem native drag-and-drop already handles for free. That said, this threshold is directional rather than a rule, and a brand doing four hundred orders a month at an eight-hundred-dollar average order value carries a catalog complexity a four-thousand-order brand selling twenty-dollar items does not, so read the order count alongside revenue and catalog depth. A low-volume, high-AOV brand can justify Boost’s Convert tier well before the order count alone would suggest it, and catalog size is the second line worth drawing, since a store with several thousand SKUs feels the limits of keyword matching long before a store with sixty.

What the evidence says about search relevance and discovery

Academic research into e-commerce product search backs up something merchants tend to feel rather than measure: the ranking model behind a search bar decides whether a shopper ever sees the product that would have converted, not merely how the results look. A study applying information-retrieval techniques to e-commerce catalogs, published on arXiv, found that ranking models trained on a store’s own click-through logs materially outperformed generic text-matching, because product queries behave differently from web queries and reward models that learn from real shopper behavior rather than keyword overlap alone. That is the underlying case for a paid search app over a bare keyword match, and also the reason a small, cleanly titled catalog can get most of the benefit from native search without paying for a smarter model it does not yet need. Google’s own Search Central documentation adds a useful footnote for anyone who assumed on-site search had a direct line into Google’s results: the sitelinks search box that once surfaced a store’s own search inside branded results has been retired, which means the payoff from better on-site search now arrives almost entirely on your own pages, in conversion and in the clean product data that feeds everything else.

What actually separates these platforms

How the meter is set. Boost prices against your store’s GMV, averaged over the trailing three months, so the bill moves with revenue whether or not search volume changes, with overage billed at $2 for every additional $1,000 of GMV rather than as a hard wall. Rebuy prices each of its four packages against monthly Shopify orders and discounts the bundle as you add packages, so a brand with many small orders reaches Rebuy’s higher bands faster than a brand with the same revenue built from fewer, larger ones.

What ships versus what is bolted on later. Search relevance, synonym handling, filtering, merchandising rules and AI recommendations are Boost’s core product from its entry tier. Bundling, the slide-out cart, checkout and post-purchase offers and reorder pages are Rebuy’s core product, and although it now sells a Search and Collections package, that is not the reason most merchants install it.

How much configuration a small team can sustain. Both are self-serve installs that can run on a working default configuration within an afternoon. The difference shows up later in how much ongoing rule-writing a lean team is willing to do, since an unmaintained merchandising rule set drifts out of date as the catalog changes underneath it.

The ceiling. Both platforms are built for growing mid-market catalogs, not the traffic and personalization demands of an enterprise storefront. A brand crossing roughly a thousand orders a month with a catalog needing machine-learned personalization at scale rather than rule-based merchandising should be looking at the enterprise tier covered in our companion guide.

Boost Commerce

Metered by monthly GMV. Shopify and Shopify Plus. Part of the Clearer.io group alongside REVIEWS.io.

Boost Commerce sells search, filters, merchandising, recommendations and predictive bundles as one app built specifically for Shopify’s admin and theme architecture rather than adapted from a broader platform, and it is the most complete first upgrade for a catalog that has outgrown keyword matching.

Pricing

Verified October 22, 2026, on Boost’s own pricing page, reading every stop of its GMV slider; billing is monthly only through Shopify, with a 21-day free trial, and a store cannot downgrade below a plan whose limit sits under its current three-month average GMV. Boost’s Shopify App Store listing returned a “not currently available” notice on the day of verification, so the vendor page is the only source for these figures.

Our read

Its real distinction is that the merchandising rules and the search relevance model live in the same product, so a filter change, a pinned product and a ranking adjustment are three settings inside one admin rather than two vendors’ worth of configuration to keep in sync, and a merchandiser can pin, boost, demote and schedule a campaign without filing a developer ticket. The no-results recommendations and search analytics are the most useful things on the entry tier, turning every failed search into a short list of catalog gaps and synonym misses a merchant can fix that afternoon. The ladder itself is far more granular than the three plan names suggest, nine published price points from $29 to $1,499, and the AI ranking learns from clicks, conversions and, for brands also running REVIEWS.io, review ratings and sentiment, which makes it one of the few tools at this price that treats what customers said as a ranking signal.

Where it asks something of the buyer is the meter. Because pricing tracks GMV rather than orders or product count, a brand with a rising average order value grows into a higher band even if its order count stays flat, and a viral spike produces a real, uncapped overage line at $2 per $1,000, which is modest per unit but worth modeling before a strong holiday quarter rather than after the invoice. The jump from Launch to Convert, $159 to $299, is also where collection merchandising and in-collection search arrive, so a brand that bought Boost mainly to fix stale collection grids should budget for Convert from the start, and a lean team still has to write and maintain the rules for the automation to earn its keep.

In their words

By Clearer.io’s own account, Boost is built for Shopify and Shopify Plus brands doing roughly $1M to $100M in annual GMV with anywhere from 500 to several hundred thousand products, the band where native search runs out of depth and enterprise tools bring heavier cost and longer implementations; for teams where a merchandiser runs discovery day to day; for brands that want search, recommendations and conversion work running on the same shopper data; and for brands consolidating search and reviews onto one connected platform, citing Smith Optics, which it says saved $80,000 on its bill after moving search and reviews in one switch. It is candid about who should wait: brands under about $1M in annual GMV with fewer than 500 products and low traffic, which native Shopify search usually covers, and brands not on Shopify at all, since Boost is built Shopify-first. Asked whether search splits on catalog size and on who operates it, Clearer.io agreed and added a third line, whether search is connected to what customers say.

“Your site search log is the one place shoppers tell you exactly what they want, in their own words. The right discovery platform turns that signal into what they see next across search, recommendations and merchandising, and lets your team act on it the same day. If search is the only place that signal gets used, most of its value is left on the table.”

Luke Creger, Partnerships Manager, Clearer.io

Luke Creger

Partnerships Manager, Clearer.io

On how it views our work, Clearer.io wrote: “Atelier cuts tools before adding them and treats conversion as ongoing work. That combination lowers what clients spend on their stack while raising what it earns, and it’s exactly how Boost and REVIEWS.io are built to work together.” Clearer.io

Who it suits

A Shopify brand somewhere between about $1M and $100M in annual GMV, with a catalog of five hundred products or more where shoppers search by specific attributes and the collection grid genuinely needs continuous reordering rather than a seasonal refresh, run by a merchandiser rather than a developer, and ideally already collecting reviews it would like to put to work in discovery. It is not the right buy for a store under roughly $1M a year with a small catalog and light traffic, where native search does the job, or for any brand not on Shopify.

Rebuy

Metered by monthly Shopify orders, priced per package. Shopify.

Rebuy is a cart, checkout and post-purchase merchandising engine built around bundling, cross-sell and reorder logic, sold either as individual packages combined à la carte or as the all-inclusive Platform One subscription.

Pricing

Verified October 22, 2026, on Rebuy’s own pricing page, which publishes the $25 entry and the $534 Platform One figure but calculates every other package price from a store’s order history inside its plan builder; billing runs on a prorated 30-day cycle set by the previous 30 days of orders, with a 14-day free trial, a money-back guarantee and a stated positive-ROI guarantee. Rebuy’s Shopify App Store listing returned a “not currently available” notice on the day of verification.

Our read

Its real distinction is that every surface draws from the same customer and order data, so a bundle recommendation in the cart drawer, an upsell on the thank-you page and a reorder prompt in a marketing email are three faces of one recommendation engine rather than three tools guessing independently. For a brand whose actual leak is a single-item checkout rather than a weak search bar, that consolidation is the reason to buy Rebuy over a search-first tool, and the package discounts make a two- or three-package build a sensible middle ground between one narrow widget and the full platform.

Where it asks something of the buyer is transparency and width. A single package at twenty-five dollars solves one narrow problem, most of Rebuy’s reputation is earned by the full platform at more than twenty times that price, and outside those two numbers the real monthly figure only appears once the plan builder has read your order history, so a founder cannot model the bill on a spreadsheet before installing. Order-based metering also means a high-frequency, lower-AOV catalog reaches the upper bands faster than a lower-frequency one carrying similar revenue, which is worth modeling before committing, and the September draft’s “$499 to $534” range for Platform One turns out to have folded in the separate $499 Premium Support add-on.

Who it suits

A brand whose average order already contains the ingredients for a second item, consumables, accessories, replenishable goods, where the highest-leverage fix is what happens after the shopper has decided to buy rather than while they are still searching, and where order volume is healthy enough that cart and post-purchase lift compounds every month. It suits a brand with a weak search bar less well, since its search package is newer and narrower than its cart work.

Shopify’s native search and merchandising

Included with every Shopify plan. No metering.

Shopify’s built-in search runs on a straightforward text-matching model, extended by Shopify’s own free Search and Discovery app, with manual drag-and-drop or rule-based control over collection sort order and no paid tier at all, since it ships with every plan.

Pricing

Verified October 22, 2026, against Shopify’s own pricing page for plan prices; native search and the Search and Discovery app add nothing to the bill, and capability is fixed by the Shopify plan and theme in use rather than by a tier.

Our read

Its real distinction is that it costs nothing and requires no third-party app to maintain, and on a small, well-titled catalog, with synonyms and filters configured in Search and Discovery, it performs well enough that a merchandising app would be solving a problem the store does not have yet. A young brand with forty products and disciplined naming is usually wasting money buying relevance tuning nobody will notice, and even Boost’s own partner team draws the line in roughly the same place, at about $1M in annual GMV and five hundred products.

Where it runs out is anywhere the catalog gets large, the titles get inconsistent across years of product launches, or the merchandising need moves past a seasonal reshuffle into something that should respond to real-time inventory and sales velocity. At that point the labor cost of manually reordering collections every week quietly exceeds the twenty-nine dollars a month Boost charges at its first step to do it automatically, and there is no upgrade path inside the platform itself, only out to an app.

Who it suits

A genuinely early brand, still finding its catalog shape, under about five hundred products and light on search traffic, where one team member can keep collection sort order current by hand without it becoming a weekly chore.

Side by side

Which one to run at your stage

A brand still under a few hundred orders a month, or with fewer than about five hundred products, should keep the money and run native search with Shopify’s free Search and Discovery app, a disciplined naming convention and a weekly ten-minute collection reorder, since nothing in this category earns its subscription yet at that volume. A brand clearing several hundred orders a month, where shoppers genuinely search by attribute and collection pages have gone stale since launch, should install Boost first, watching the search analytics and no-results report for a month on Launch before deciding whether Convert, with its collection merchandising, is worth the step from $159 to $299. A brand whose checkout converts reasonably well but whose average order stops at one item, especially where the catalog contains an obvious companion purchase, should look at Rebuy first, starting with the Cart and Merchandising package, and treat search as the second project. A brand doing meaningful volume on both fronts, comfortably past a thousand orders a month, is usually better served running both together, since they solve different parts of the funnel and the combined cost stays modest against what either alone would leave uncaptured.

Questions we get asked

Do I need a search app if my catalog is under fifty products?

Usually not; native Shopify search, with synonyms and filters set up in the free Search and Discovery app, performs well on small, well-titled catalogs, and a merchandising app earns its subscription once the catalog or the traffic grows past what manual curation can keep current.

What is the real difference between Boost and Rebuy?

Boost improves what a shopper finds while searching and browsing, while Rebuy improves what a shopper is offered once they have already decided to buy, and most brands eventually need both rather than choosing between them.

Will Boost’s overage charges surprise me during a big sale?

They can, since overage bills at $2 per additional $1,000 of GMV with no hard ceiling and plans are set from a three-month average, so model a strong month’s revenue against the plan’s included allowance before a major promotion rather than after the invoice arrives.

Does Rebuy replace my email or SMS platform’s product recommendations?

No, but it feeds the same recommendation logic into your cart, thank-you page and reorder flows, which typically makes an existing email platform’s product blocks more accurate rather than redundant.

At what order volume should I stop shopping this category and look at enterprise personalization instead?

Roughly a thousand orders a month is the trigger most vendor pricing tiers use, though a lower-order, higher-AOV brand can justify the enterprise tier earlier if catalog complexity or traffic volume already demands machine-learned personalization, and Boost itself moves to custom pricing above $2.5M in monthly GMV.

Can I run Boost and Rebuy at the same time without them conflicting?

Yes, since they operate on different surfaces of the store, search and collection pages for Boost, cart and post-purchase for Rebuy, and neither reads or overwrites the other’s settings, though a brand doing so should pick one of them for bundles and recommendations rather than running both widgets on the same page.

Does switching search apps hurt my SEO?

Not if implemented correctly, since on-site search results are not typically indexed pages; the things worth re-testing after any change are collection page load speed, filter URLs that might create crawlable duplicates, and the structured product data on your product pages.

Is native Shopify search ever the permanent answer, not just a starting point?

For a genuinely small, stable catalog with consistent naming and low search volume, yes, and paying for a merchandising app in that situation is spending against a problem the store does not have.

Where to go next

If your collection pages, search results or cart are leaving revenue on the table and you want a second opinion on which fix actually matches your order volume, our strategic merchandising team runs this exact audit for brands at your stage, alongside our broader conversion optimization work. You can see how this plays out in the wild in our work with English Factory’s merchandising build and with Moonglow Jewelry’s growth past its early plateau. If search visibility beyond your own site is also part of the conversation, our SEO and AEO teams pick up where this guide stops. Get in touch and we will walk your store through this same framework before you spend a dollar.