Inventory JSON-LD types, validate FAQPage and HowTo completeness, and flag missing recommended properties.
- Free
- No signup
- Fast
- Privacy-friendly
What next?
Keep going with Schema Markup Checker
Finish this check in the browser, then pick the path that matches how you work — another related tool, REST for apps, or MCP for agents.
- 1. Related check
After this result, run Meta tags analyzer for the next signal.
Meta tags analyzer - 2. Automate with API
Same job from your server with
Create free accountX-Api-Key. Free tier includes 500 credits/month. - 3. Hand off to an agent
Connect Cursor or Claude to ToolYour MCP — plan → run → verify.
MCP setup
What is Schema Markup Checker?
Broken or empty structured data wastes rich-result opportunity and confuses entity understanding. FAQPage blocks without acceptedAnswer.text, HowTo nodes without steps, and duplicate Organization graphs are common after theme or plugin updates.
This Schema Markup Validator fetches a public URL, inventories JSON-LD types (including @graph), checks FAQPage question/answer completeness, HowTo step completeness, and flags missing recommended properties for common types. You get a type graph, severity findings, evidence samples, and fix steps — not a promise of Google Rich Results approval.
Use it before launching FAQ or HowTo templates, after SEO-plugin upgrades, and when Search Console rich-result reports show invalid items.
What are common questions about Schema Markup Checker?
What HowTo fields are checked?
HowTo needs a name and a step list with name or text on each step.
What evidence appears in findings?
Reports include type counts, FAQ/HowTo issue lists, missing recommended properties, and sample node keys.
What FAQPage fields are required here?
Each FAQ mainEntity question needs a name and an acceptedAnswer.text that matches visible Q&A.
Who uses this tool?
Technical SEO, developers, and content teams use it after CMS schema plugins, FAQ blocks, and recipe/howto templates change.
What problem does schema validation solve?
It finds missing, incomplete, or conflicting JSON-LD — especially broken FAQPage and HowTo — so structured data matches visible content.
Does a green score guarantee rich results?
No. This is a heuristic completeness audit. Google Rich Results eligibility also depends on guidelines and indexing.
Is Microdata supported?
Microdata presence is counted. Deep FAQ/HowTo property checks focus on JSON-LD, the format most CMS tools emit.
How does this differ from a full SEO audit?
This page is a structured-data specialist report. A full SEO audit covers headings, links, and broader technical categories.
What are the key features of Schema Markup Checker?
Severity findings
Ranks incomplete markup with evidence and how-to-fix steps.
Honest limitations
States heuristic scope — not Google’s Rich Results Test.
JSON-LD type inventory
Lists @type values with counts, including @graph expansion.
Recommended properties
Highlights missing common fields for Article, Product, Organization, and more.
FAQPage completeness
Checks mainEntity questions for name and acceptedAnswer.text.
HowTo step validation
Flags missing HowTo name or empty step arrays.
How do you use Schema Markup Checker?
Fix incomplete nodes
Update CMS schema fields or script tags using each finding’s evidence.
Run schema validation
Parse JSON-LD, score type coverage, and evaluate FAQ/HowTo completeness.
Enter a public HTTPS URL
Paste the page that embeds JSON-LD (article, FAQ, product, or howto).
Use cases: plugins, migrations, and rich-result cleanup
After plugin updates — Re-run cornerstone URLs when Yoast/RankMath/theme JSON-LD changes.
FAQ and HowTo launches — Validate the first three templates before scaling.
Search Console invalid items — Reproduce the URL here and match missing properties to evidence.
Pair with SERP Snippet Preview for title/description CTR, and SEO Audit for whole-page scoring.
Why incomplete FAQ and HowTo markup fails in practice
Publishers often enable “FAQ schema” toggles that emit empty or partial nodes. Search systems that consume FAQPage expect question name and answer text aligned with visible content. HowTo without steps is likewise incomplete.
This tool surfaces those gaps with concrete issue strings and counts. schema.org type names such as Organization, Article, Product, and BreadcrumbList also get recommended-property checks so entity pages are not hollow shells.
Scope and limitations
Static HTML JSON-LD and counted microdata only. Client-injected schema after hydration is invisible. Passing this audit does not guarantee rich results. Keep markup synchronized with visible page content.
Free · API · MCPToolYour platform
Use Schema Markup Checker three ways
The free Schema Markup Checker on this page works in your browser. The same workflow is available via REST API for apps and via the remote MCP server for Cursor, Claude, and other agents — one API key, one plan, one quota. This tool is part of the seo-apis module under Digital Tools.
- 1Create a free accountGet an API key for REST and MCP — 500 credits/month on the free tier.
- 2Connect or callPaste the MCP URL into Cursor/Claude, or call REST with
X-Api-Key. - 3Same key & creditsBrowser smoke-checks stay free; API-backed runs share one monthly credit quota.
- Free in browserUse Schema Markup Checker here — no account required.
- REST APICall from your server with
X-Api-Key. - Remote MCP serverSame job from Cursor or Claude via the ToolYour remote MCP server — one API key with REST.
Which on-page SEO tools sit in this cluster?
- Meta tags analyzer
Title, description, and social meta length checks.
- Heading structure analyzer
H1–H6 outline and hierarchy issues.
- SERP snippet preview
Preview how title and description may appear in SERPs.
- Keyword checker
On-page keyword density and placement signals.
- Content optimization
Score copy against on-page SEO basics.
Where does this job fit on ToolYour?
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- Digital Tools tools
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