If your search experience is broken, your first instinct might be to blame the platform. And maybe the platform deserves some of it. Maybe.

But before you start evaluating vendors, you need to understand something: search and discovery is a data problem as much as it is a technology problem. A better engine pointed at bad data still delivers a bad experience.

This distinction matters enormously in B2B, where the complexity of what search needs to do far exceeds what most teams plan for at implementation.

The Data Foundation Nobody Talks About

Search doesn’t run on software alone. It runs on product data, customer data, pricing data, and availability data — and in B2B, all of those are moving targets. SKU counts are large. Attributes are inconsistent. Products get added, discontinued, and repriced constantly.

When a customer types a part number or a product description into your search bar, what comes back is only as good as the data underlying it. Missing attributes mean items that can’t be filtered. Inconsistent naming means relevant results that never surface. Stale availability data means customers finding products they can’t actually order.

Platform selection is a conversation about capability. Data readiness is a conversation about whether that capability can actually work. You need to have both conversations before you go live, and continuously after.

B2B Catalogs Aren’t Built Like Retail Catalogs

In retail, there’s typically one catalog with one taxonomy and one set of prices. In B2B, that model almost never applies. You’re likely managing customer-specific catalogs, contract pricing, and entitlement rules that determine what any given buyer can see and purchase.

This is where discovery gets genuinely complicated. It’s not enough to return relevant results, you have to return the right results for that specific customer. Surfacing items outside a customer’s contracted catalog isn’t just unhelpful, it actively erodes trust and creates service problems downstream. The buyer calls, asks why they’re seeing products they can’t order, and your team has to explain a gap that should have been closed before they ever logged in.

Effective B2B search requires that entitlement logic be deeply integrated with search and browse, not bolted on as an afterthought. That integration needs to be tested, monitored, and maintained as your customer base and catalog both evolve.

Merchandising Within Search

There’s an old term … “searchandising” … that fell out of fashion, but the concept is more relevant than ever. Search isn’t just a retrieval function. It’s a merchandising channel.

The best B2B search implementations let you do things like boost preferred brands or private-label products, surface active promotions within results, sponsor specific items for strategic visibility, or to gain vendor dollars, and adjust relevance weighting based on margin or inventory position. These aren’t retail tricks. They’re levers that directly impact revenue and customer behavior and they require someone actively pulling them.

If nobody on your team owns search merchandising, those levers sit unused. Your platform is doing the best it can with default settings while your competitors are actively shaping what their customers see.

What Your Platform Needs to Give You

Not all search platforms are created equal, and evaluation criteria matter beyond relevance algorithms and indexing speed. The questions that often get skipped:

Can you run A/B tests on search configurations? If you can’t test, you’re guessing — and you’ll never know whether a change helped or hurt.

What does the reporting look like? Specifically: what are your top searched terms with zero results? What are customers searching for that they’re not buying? These two reports alone can drive a significant improvement roadmap if someone is actually reviewing them.

How does the platform handle synonym management, spell correction, and natural language queries? B2B buyers don’t always search the way your product team named things. A customer searching “hydraulic fitting 3/8” and a customer searching “3/8 NPT hydraulic adapter” may want the same product. Does your search know that?

How does it handle faceted navigation and filtering at scale? With large catalogs, filtering performance and relevance degrade quickly without the right architecture.

Search Is a Discipline, Not a Setting

The biggest mistake B2B organizations make with search isn’t choosing the wrong platform. It’s treating search as a configuration you complete at launch rather than a discipline you practice continuously.

Markets shift. Catalogs grow. Customer behavior evolves. The search experience that was good enough at go-live will drift toward mediocrity without active stewardship. Someone needs to own the data, own the merchandising, own the testing, and own the reporting — and they need to be doing it every week, not just at the next platform migration.

Search is where your customers meet your catalog. Make sure someone is tending to that relationship.