Schema markup is structured data you add to your HTML that tells search engines exactly what your pages represent. For industrial sites, Product schema surfaces part specs and SKUs in rich results. Organization and LocalBusiness schema anchors your brand entity. FAQPage schema produces accordion results in Google. Without these signals, Google and AI search engines have to guess what your pages are, and they frequently guess wrong.

The essentials are Organization on the homepage, Product on every product or part page, Service on capability pages, LocalBusiness on the contact page, and BreadcrumbList site-wide. Beyond those, FAQPage on service pages and TechArticle on technical blog content are the two differentiators that separate industrial sites from their competitors in both Google and AI search.

It fetches your homepage plus up to seven additional pages (product, service, contact, about, FAQ, and blog pages) via your sitemap or internal links. It parses every JSON-LD block on each page, identifies the schema types present, and scores them against a checklist built specifically for B2B and industrial sites. The result is a per-page breakdown of what is present, what is missing, and a prioritized punch list your development team can execute against.

Generic validators tell you whether your schema is syntactically valid. This tool tells you what is strategically missing for an industrial B2B site. It checks whether the right schema types are on the right page types, scores essentials vs. differentiators vs. edges, and produces a punch list weighted by impact. A manufacturer might pass every generic validator and still be missing Product schema on 200 part pages.

No. The tool produces a diagnostic report with a prioritized punch list. Your development team can implement the recommendations, or you can bring the report to an intro call and we can scope the remediation as part of a technical SEO engagement.