A shopper types "blu jaket" into your search bar. You stock it. They get "0 results" and a blank page. They don't try again. They leave, and you never even know it happened.
Your search bar shouldn't punish a typo with a lost sale.
The shopper who searches is the shopper who came to buy. Sledge gives your Shopify store search that forgives misspellings, understands the words your customers use, and turns a zero-result query into suggested alternatives and your popular products.
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// The typo tax
Customers search for products you stock, and get zero results.
Think about typing on a phone. "Jakcet." "Snekers." "Moisturizr." A slipped letter or an unexpected phrasing can still land a shopper on a blank page for something sitting on your shelf. Sledge's typo-tolerant search reads through the misspelling to the product they meant.
Every misspelling that returns zero results is a sale you already earned, then dropped at the door.
Sledge search is typo-tolerant: "blu jaket" finds the blue jacket, "snekers" finds the sneakers, and near-miss queries resolve to the products you actually stock instead of dead-ending on a zero-result page.
// The words your customers use
You call it a "hoodie." Half your shoppers search "sweatshirt."
You named the product one way. Your shoppers search for it ten ways: "trainers" for "sneakers," "jumper" for "pullover," "couch" for "sofa." When their word and yours disagree, the result can be a thin page on a product you stock. Native synonyms help, but you add them by hand and the list is capped. Sledge suggests synonyms from your real searches and lets you keep as many as your catalog needs.
Sledge closes the gap: on eligible plans it builds a starter synonym set from your catalog at setup, and Growth Intelligence keeps suggesting new ones for you to approve, so "hoodie" finds "sweatshirt." Add your own when you want exact control, one-way or bidirectional, bulk-managed by CSV, with no per-group or per-store synonym cap to manage.
// Your relevance, not a black box
Native search gives you one relevance mode, with no dial to tune it.
Shopify added semantic search to Search and Discovery, and for many stores it helps. For some, the results read as less relevant, and there is no strength setting to tune it or blend it with exact keyword matching. You get one relevance mode, not a dial.
So Sledge hands you the dial: keyword search for exact matching, semantic for meaning, or hybrid to blend both, with the semantic strength set to light, balanced, or strong. You tune relevance to your own catalog instead of inheriting one company's default.
// Queries that read like sentences
"Running shoes under $50" comes back empty, and you stock six.
Shoppers type the way they think: "running shoes under $50," "red dress size large." Native search treats that as one query to match, and does not turn "under $50" into a price filter or "size large" into a variant filter, so the results miss the constraint even when six sit in your catalog under the price they asked for. Sledge parses the sentence into the category plus the filters and applies them.
Sledge reads the intent in the sentence: its conversational parsing pulls "under $50" out as a price filter, "red" as a color, "size large" as a variant, and applies them automatically, so a query that reads like a sentence returns the six products you stock under $50 instead of an empty page.
// No dead ends
The shopper who searches is the one most likely to buy. The blank page sends them away.
Search visitors arrive with intent. Wizzy and EcomHint report that on-site searchers convert two to three times more often than browsers, and that zero-result searches run 10 to 30 percent of all queries on a typical store. So a blank "no results" page turns away your highest-intent shoppers.
A dead end is the most expensive screen in your store, so Sledge fills it: an empty query gets close alternatives, your popular products, and an optional redirect to a page you choose, keeping your highest-intent shopper in the store instead of bouncing them.
See where search and your offers appear
Questions, answered
Why does my Shopify search return no results for products I actually stock?
Usually a synonym gap: when a shopper's word for a product differs from the word in your title, native search can come up short, and its synonym handling is limited and managed by hand. Sledge adds typo-tolerant search plus generous automatic and manual synonyms, so in-stock products stop returning zero results.
Does Sledge handle typos and misspellings?
Yes. Sledge search is typo-tolerant, so 'blu jaket' finds the blue jacket and 'snekers' finds the sneakers. Near-miss queries resolve to real products instead of a dead end.
Can Sledge add search synonyms without a limit?
Yes. On eligible plans Sledge builds a starter synonym set from your catalog, Growth Intelligence suggests new ones for you to approve, and you add your own, one-way or bidirectional, with CSV import and export. There is no 20-per-group or 1,000-per-store cap to manage.
Shopify's semantic search made my results worse. What's the alternative?
Sledge gives you control instead of one fixed mode. You choose keyword, semantic, or hybrid search and set the semantic strength to light, balanced, or strong, so you tune relevance to your own catalog rather than being locked in.
Can Shopify search understand queries like 'red dresses under $100'?
With Sledge, yes. Its conversational parsing reads phrases like 'running shoes under $50' and turns them into filters such as price and color automatically, so natural-language queries return matching products.
What happens when a search returns nothing?
Sledge turns the 'no results' screen into a next step. You can show suggested alternatives, your popular products, and an optional redirect to a page you choose, so the shopper has somewhere to go instead of leaving.
Is Sledge a replacement for Shopify Search and Discovery?
Sledge covers the search jobs you most often outgrow in native Search and Discovery: typo tolerance, uncapped synonyms, relevance modes you control, conversational queries, and zero-result recovery, inside the same app as your filters and recommendations.
Stop losing the shopper who already wanted to buy.
Install free. The queries that used to dead-end start finding the products you stock.
14-day free trial · No code · Works with any theme · Uninstalls clean