The Vocabulary Problem: Why Manufacturers Can't Be Found Online
4 min
Manufacturers often describe their products in language their customers do not use to search.
A steel fabricator calls it a “collapsible pit handrail system.” The safety manager searching for it types “fold down railing for underground access.” Search engines may not bridge that gap on their own.
The Gap Is Invisible
Here’s what makes this insidious: manufacturers don’t know they have the problem. Their website looks correct to them because they wrote it in their own language. The product pages are accurate. The specs are complete. The photos are professional.
But the searches may not be finding them.
How to Fix It
The fix isn’t complicated, but it requires a mindset shift:
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Audit your search terms. Google Search Console shows you what people actually type. Compare that to your product page titles.
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Interview your customers. Ask them: “What did you search for when you found us?” The answers will surprise you.
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Build a vocabulary bridge. Create content that uses their language to describe your products. FAQ pages are perfect for this.
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Add schema markup. Structured data describes your products accurately in a form search engines can read. It does not guarantee a ranking.
The AI Angle
The same gap can matter with AI assistants. When a safety manager asks an assistant to “find a fold-down railing for a service pit,” the assistant works from the language it finds online. If your site only says “collapsible pit handrail system,” it may be harder to match.
The vocabulary gap may affect AI search as well as Google search.
Start with a free score to see how visible your site is to both search engines and AI platforms.