"Customers can't find what they're looking for on our site — even when it's there."
Your catalog is comprehensive. The content is there. But when a customer types a part number, an application, or a problem description into your site search, they get irrelevant results — or nothing at all. The product exists. The search just doesn't know how to find it.
Does any of this sound familiar?
-
Site search returns zero results or poor matches for queries that should have obvious answers
-
Customer support includes a pattern of "I couldn't find it on your website" calls and emails
-
Search is running on default platform settings — it's never been configured, tuned, or audited
Ready to move things forward?
Your customers search the way they think, not the way your catalog is organized.
Most on-site search problems come down to vocabulary, not technology. Your internal taxonomy uses the terminology your team uses. Your buyers use part numbers, application descriptions, symptom language, or industry vernacular that doesn't match your catalog structure. When those vocabularies don't connect, search fails, even when the right result exists.
Fixing it requires more than better search software. It requires understanding how your buyers search, building the synonym libraries that bridge the gap, and treating search as an ongoing product that improves over time — not a feature that gets set up and forgotten.
A buyer who can't find what they're looking for doesn't assume the product doesn't exist. They assume you don't have it — and they go somewhere else.
How we approach this.
We start with an honest look at what's actually happening in your search. Configuration comes later.
An audit comes before any settings change
We analyze your current search logs — what people are searching for, what's returning no results, where users are exiting after a search. The data shapes the intervention.
The synonym and vocabulary layer your buyers need
We identify the gap between how buyers describe what they're looking for and how your catalog is structured — and build the mapping that bridges it.
Faceted filtering your buyers can actually navigate
Good faceted search lets buyers filter by the criteria that matter for their decision — application, spec, compatibility, format. We design the facet structure around the buyer's logic, not the catalog's.
Search running on a platform built for it
Umbraco, Elasticsearch, and purpose-built search platforms offer significantly more configurability than default CMS search. When the current solution is the root problem, we recommend and implement the right tool.
Keep search accurate as your catalog grows
Search queries change as your catalog evolves. We build the monitoring and review cadence that keeps search accuracy improving over time.
Lightburn didn't just go through the motions. They found creative solutions to make our website work well; for us, our budget, and our users.
A situation like yours.
Trico's catalog spans more than 500 product variants across lubrication equipment, monitoring, and services — the kind of depth that buries a buyer who arrives knowing exactly what they need, just not what Trico calls it.
When we rebuilt trico.com on Kentico, we built findability into the structure: dynamic navigation plus cross-cut filtering that lets users slice the catalog by product, service, or category and land on the right variant fast. Trico's team manages all of it themselves, and buyers reach the product they came for instead of giving up on the search box.