How do you verify that your Schema.org is correctly implemented?

Four free tools: (1) Google Rich Results Test (rich-results.google.com), (2) Schema.org Validator (validator.schema.org), (3) Bing Webmaster Tools, Markup Validator, (4) Chrome "Schema Markup Validator" extension. For a complete audit, cross these tools across all key pages and fix errors/warnings.

How do you verify that your Schema.org is correctly implemented, editorially?

Schema.org validation best practices for GEO in 2026. (1) Google Rich Results Test (rich-results.google.com), official Google tool. Detects types Google recognises for Rich Results (Article, FAQ, Product, Recipe, LocalBusiness). Limitation: doesn't validate all Schema.org types. Since the May 2026 FAQ Rich Results deprecation, the tool still marks FAQPage as valid but without the Rich Results badge. (2) Schema.org Validator (validator.schema.org), more exhaustive, validates JSON-LD syntactically and accepts all types, but doesn't say whether Google or LLMs will actually use it. (3) Bing Webmaster Tools Markup Validator, particularly useful for Microsoft Copilot, which uses the Bing index in its backend. (4) Chrome "Schema Markup Validator" extension, handy workflow during browsing, ideal for spot checks.

What LLMs actually read

For GEO, priority verification: Article with Author Person (sameAs Wikidata), FAQPage (still useful even without Rich Results, Google Search Liaison confirmed in May 2026 that the markup is still used for understanding), Organization (with address, sameAs LinkedIn and Crunchbase), BreadcrumbList, Service or Product depending on sector. LLMs barely read obscure schemas like Event or Course in B2B contexts, limited ROI. "Three mistakes recur in our audits: a mistyped @type that silently invalidates the whole block, a relative url instead of an absolute one, and sameAs pointing to inactive or redirected profiles," points out Lorenzo Eeman, founder of PROEMA.

PROEMA Schema audit methodology

PROEMA runs the Schema audit inside its M1 diagnostic and delivers a prioritised report. Method: (1) full crawl via Screaming Frog with JSON-LD extraction, (2) each key page passed through the four validators above, (3) cross-check with Google Search Console ("Enhancements" report listing errors on recognised types), (4) corrective table priority high/medium/low based on observed LLM citation impact. For an SME site of 100, 500 pages, the audit takes 1, 3 days. Sources: developers.google.com/search/docs/appearance/structured-data/intro-structured-data, schema.org, Bing Webmaster Tools documentation.