Your search index is only as good as
the attributes you feed it.
Algolia, Elasticsearch, and Klevu are powerful search engines. But faceted filtering only works when the facet values exist. Semantic ranking only works when attributes are structured. Typo-tolerance only works when the values are consistent. SKU Launch provides the structured product data that makes all of it work.
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Algolia is not the problem. The null values in your index are the problem.
Search engines are sophisticated. Algolia's AI ranking, Elasticsearch's BM25 relevance, Klevu's merchandising rules — they're all excellent at working with good data. The problem is that most product catalogues don't give them good data. Facet attributes are null. Descriptions are empty. Category values are inconsistent. The search engine has nothing useful to reason with. You blame the search tool. The search tool is fine. The index is what's broken.
Head of eCommerce Technology, UK trade retailer
The specific failures are always the same. A customer searches "18V brushless drill" — your product has both values in the title but neither in structured fields, so it doesn't appear in filtered results. A customer filters by Motor Type: Brushless — 73% of your power tools have a null motor_type field, so the filter returns almost nothing. A customer types "13mm chuck drill" — your record has no chuck_size field, so the product is invisible. These aren't search engine failures. They're data failures that look like search failures.
Six data requirements. Most catalogues fail most of them.
Every one of these has a version of "unstructured / missing / inconsistent" that kills search quality — and a SKU Launch fix that resolves it.
Structured facet attributes
Consistent value formats
Accurate category taxonomy
Searchable descriptions
Complete attribute coverage
Real-time index freshness
How it connects
SKU Launch pushes enriched product data to your storefront via native app, API, or file sync. Your existing Shopify/Magento setup stays exactly as it is.
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Search-optimised field mapping
Real-time index push on approval
Type-correct attribute values
integer, not string. Chuck size as float with unit. Category as string array. Correct types enable numeric range filters, sorting, and precision faceting that string values can't power.SKU Launch makes the data searchable. Your search engine does the searching.
Works with every major search engine and discovery platform
Algolia
REST API push. Index schema mapping, attribute typing, and facet configuration managed via SKU Launch. Supports InstantSearch.js integration.
Elasticsearch
Bulk index API. Dynamic mapping or explicit schema — both supported. Compatible with Elastic App Search and OpenSearch.
Klevu
Product feed and Klevu API. Attribute mapping to Klevu's taxonomy. Supports Klevu Smart Category and Smart Recommendations.
Constructor.io / Coveo
REST API push. Attribute and facet mapping configured to match your Constructor or Coveo catalog schema.
Any Search Platform
If it has a REST API or accepts structured file import, SKU Launch can connect to it. Custom integrations available.
Other integration pages
PIM
Akeneo, Salsify, inRiver. Clean, complete records exported to your PIM automatically.
Explore →eCommerce
Shopify, Magento, BigCommerce. The same structured attributes that power your search also power your storefront filters.
Explore →Marketplace
Amazon, eBay, trade platforms. Listings structured and validated to marketplace-specific attribute requirements.
Explore →Search
You're here.
See what your search platform index looks like when every attribute is populated
Book 30 minutes. We'll run a live enrichment pass on a sample of your products and push the results to an Algolia sandbox — you'll see the before and after in your own search interface.
Product data enrichment that actually gets done — so your product pages convert, your search works, and your team stops living in spreadsheets.
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