Structured data (usually JSON-LD) helps search engines and AI systems understand entities, products, FAQs, and breadcrumbs — not by stuffing keywords, but by labeling what the page already says.
SEOHub flags missing structured data, invalid or unparsable JSON-LD, and gaps like missing Organization / LocalBusiness or FAQ schema when those types are expected. Deep checks catch bare arrays and missing @context that break parsers.
Start with Organization + WebSite on the homepage, then BreadcrumbList on inner pages. That trio covers most marketing and docs sites before you chase niche rich results.
Keep JSON valid — a single trailing comma can invalidate the whole block. Prefer a single script tag with @graph over multiple conflicting graphs when you can.
Validate on-page with the JSON-LD schema inspector, then confirm rich-result eligibility in Google’s tester when you go live.
Align schema with visible content. Marking every page as FAQPage when there is no FAQ is a policy risk; SEOHub and manual review both look for that mismatch.
For local businesses, extend Organization into LocalBusiness with consistent NAP. Pair that work with the habits in our guides index and a fresh site scan.
Article and BlogPosting types help news and blog templates. Include datePublished, headline, and author or Organization as publisher — empty required fields undermine eligibility.
After deploy, re-scan so schema and org-schema checklist items flip to pass. Client-rendered JSON-LD that never appears in the first HTML response may still be missed by simple fetch-based tools.
Version your schema in code review the same way you version meta tags. Copy-pasted examples from old docs often ship deprecated properties.
When assistants summarize your brand, clear Organization data (name, url, logo, sameAs) improves entity grounding — the same fundamentals SEOHub’s AI visibility checks look for.
Browse related free tools for headers, robots, and redirects when technical access issues would block crawlers from seeing your new JSON-LD at all.