Find the right product on the first search
Lexis turns store search into a relevance system: it interprets the query, orders results by real signals, and surfaces where demand is being lost.
Fewer lost searches · more relevant results · decisions from real behavior
Classic search breaks on the queries that matter.
A store doesn't lose sales on perfect queries. It loses them when the customer types fast, uses a different word, searches by code, or expects the system to understand context. That's where a default engine or a plain LIKE starts to fail.
A missing letter shouldn't break the path to a product that's already in the catalog.
Customers search in their own words. The catalog sometimes uses a different name.
An empty page kills the session right when intent has already been expressed.
Product codes are maximum-intent queries and must be handled differently from vague text.
The same word can mean a product, a category, or an accessory. Without context, the order becomes noise.
Lexis turns a weak query into a useful result.
Relevance is built before products are shown: normalization, exact matches, intent, and catalog context.
Lexis cleans the query before the index: typos, grammatical forms, plural, singular, and searches without diacritics.
Customer terms are mapped to the real products, categories, SKUs, and names in the catalog.
When an exact match is missing, the system proposes the closest useful search instead of an empty page.
Products asked for often rise where it counts.
Lexis uses precise searches as ranking signals. If a product is asked for explicitly or shows up consistently in very specific queries, the order of results starts to reflect demand.
SKU searched directly
The product is asked for explicitly, not discovered by accident.
The exact product gets priority in relevant contexts.
Search with 1-2 results
The query shows clear interest in a narrow set of products.
Those products gain weight in broader searches.
Repeated specific searches
Customers return to the same intent even when the terms vary.
Ranking gradually shifts toward what customers actually look for.
Real searches become indexable pages — only when they deserve to.
Frequently searched terms can become dynamic pages ready for Google, but only when there's clear demand and real coverage in the catalog.
The system starts from customer language, not from invented keyword lists.
The term must signal a commercial need clear enough to justify a dedicated page.
A page isn't generated if it only has 1-2 products. Without coverage, it stays an internal signal.
The page gets a stable route, text, and relevant products, then updates as demand and the catalog change.
See what customers search for and where they get stuck.
Search performance must be measured: volume, unanswered searches, corrections applied, and terms that point to missing products or new pages.
The data below is a sample report, used to show what you track after connecting the catalog.
Volume for the selected period, separated from accidental spikes.
Terms where a correction, a mapping, or a real catalog gap needs a decision.
Queries that got a useful direction instead of staying missed searches.
Good for quick interventions after campaigns, product imports, or catalog changes.
Good for seeing whether an adjustment works and whether a term repeats often enough.
Good for weighty decisions: indexable content, missing products, and merchandising priorities.
It plugs into the catalog and becomes the store's search.
Lexis belongs between the catalog and the customer, not beside them. The integration syncs products, builds the search index, and exposes results via API, JavaScript, PHP, or connectors for commerce platforms — without moving the source of truth out of the store.
The API, JavaScript/PHP code, or platform connector sends products, categories, prices, stock, SKUs, and the attributes used in search.
The data is prepared for exact matches, semantic relevance, and behavior signals.
The store requests results from Lexis, and the response comes back with products ordered by relevance and learned signals.
Important rules stay visible: what runs automatically, what goes into review, and what must not be promoted.
Start free. Pay when you scale.
Three plans, no per-feature surcharges, no setup fees.
For small stores or evaluation.
- 10k docs · 100k searches/month
- API + OpenCart plugin
For storefronts in production.
- 1M docs · 1M searches/month
- Reranking + SEO pages + email support
Heavy volume, multi-region, negotiated SLA.
- Custom limits · active failover
- Dedicated support + onboarding
Quick answers to what people ask us first.
On OpenCart with the official plugin: 15-30 minutes (install + initial catalog sync). For custom storefronts via REST API or SDKs, an evening for a mid-level developer. The free playground is available before any decision.
Official plugin for OpenCart 3.x and 4.x. REST API + PHP/JavaScript SDKs for any other stack — Magento, WooCommerce, Shopify, custom. Dedicated connectors for Magento and WooCommerce are in roadmap.
The cloud runs in Frankfurt (EU), GDPR-compliant. Your customers' data stays isolated per organization and is never aggregated cross-tenant. For self-hosted (on-premise), everything runs on your infrastructure — nothing leaves.
Free stays free forever (10k docs, 100k searches/month). If you exceed the limits we email you first and you can upgrade without downtime. We don't hard-block.
Yes, any time. Export your catalog and analytics from settings in one click. No penalty, no minimum term, no sales call required to export.
Free: public docs + community. Pro: email with same business-day reply. Scale: direct line to the team + negotiated SLA. All plans include the playground and public docs.
Measure search performance on your catalog.
Start with a demo on real data or go straight to integration. The goal is to see how many searches turn into useful results, not just how many queries ran.
Where the current engine fails to connect demand with the catalog.
How many queries get a useful direction after normalization and interpretation.
Terms that deserve better ranking, new content, or a catalog decision.