Schema Intelligence Analyzer
Free schema markup analyzer. Find every JSON-LD block on a page, validate against schema.org + Google rich-result rules. No sign-up.
About the tool
What is the SBMM Schema Intelligence Analyzer?
The SBMM Schema Intelligence Analyzer is a free Schema markup validator that fetches any public URL, extracts every JSON-LD block on the page, validates each one against the schema.org specification and the current Google 2025 rich-result rules, and tells you exactly which rich-result types the page is eligible for. It is the fastest free schema audit on the web.
Schema markup is the only reliable way to tell Google what a page actually is. A page without schema is just text; a page with the right JSON-LD is an Article, a Product, a Recipe, a FAQ, a LocalBusiness, an Event, or a Course that Google can surface as a rich result. Pages with valid schema win richer SERP previews, higher CTR, and a meaningful citation advantage in AI search.
In 2026 the schema win is bigger than ever. ChatGPT, Claude, Gemini, and Perplexity now use the same structured-data signals to decide which sources to cite in AI Overviews and chat answers. A page with complete Article and Author schema is significantly more likely to be cited than a page without, even at identical content quality. This tool surfaces the gaps so you can close them before your competitors do.
Step by step
How to use this tool in 3 steps
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Step 01
Paste any URL with JSON-LD
Enter any public URL (your page, a competitor, or a client). The analyzer follows redirects and fetches the live HTML so the result reflects what Google actually parses on the latest crawl.
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Step 02
Every JSON-LD block extracted
The analyzer scans the page for every script type application ld json block, parses the JSON, identifies the @type, and validates required fields against schema.org plus the Google 2025 rich-result rules for that type.
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Step 03
Fix gaps + unlock rich results
See which rich-result types the page is eligible for, which required or recommended fields are missing, and which validation errors will block rich-result display. Copy the corrected JSON-LD straight from the report.
Why this tool
Why use this tool
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Multi-block schema extraction
Pulls every JSON-LD block from the page in one pass: Article + Author + Organization + Breadcrumb + FAQ all surface in the same report, with per-block validation.
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schema.org + Google 2025 validation
Validates each block against the current schema.org spec AND the stricter Google 2025 rich-result rules. A block can be schema.org-valid but rich-result-ineligible; we flag both.
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Required + recommended field check
Per-block report of every required field that is missing and every recommended field that would unlock a richer result tier (image, aggregateRating, video, etc.).
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Rich-result eligibility map
Tells you exactly which Google rich-result types the page qualifies for: Article carousel, FAQ snippet, Product rich card, Event listing, Recipe card, Video preview, and others.
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AI search citation signal
Highlights the schema fields ChatGPT, Claude, Gemini, and Perplexity look at when picking sources to cite. A clean Article + Author + Organization + Citation graph wins disproportionate citation share.
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Free, no sign-up, three runs a day
Three full audits per day on the free tier covers any normal authoring or competitive-research workflow. SBMM Pro adds multi-URL bulk audits and competitor coverage diff.
FAQ
Frequently asked questions
What is schema markup?
Schema markup is structured data added to a web page in JSON-LD format that tells search engines what the page is about: an Article, a Product, a Recipe, a FAQ, a LocalBusiness, and so on. It is published by schema.org, jointly supported by Google, Microsoft, Yahoo, and Yandex, and is the foundation of every rich result in Google search.
Is schema markup required for SEO?
It is not strictly required to rank, but pages with valid schema win measurable advantages: richer SERP previews, FAQ snippets, sitelinks, Knowledge Panel attachment, and a meaningful citation lift in AI search. Skipping schema in 2026 is leaving free ranking signal on the table.
Will valid schema guarantee rich results?
No. Valid schema makes the page eligible for the rich result. Google then decides whether to render it based on page quality, intent match, and dozens of other ranking signals. A clean validation is the floor; ongoing content quality is what closes the deal.
What is the difference vs the Google Rich Results Test?
The official Google Rich Results Test only checks a small subset of schema types and only reports eligibility for those types. This analyzer extracts and validates EVERY JSON-LD block on the page against the full schema.org spec, surfaces blocks Google does not currently render, and shows you the complete schema coverage map.
Does this tool edit my schema?
No. It only reads the live page and reports findings. The corrected JSON-LD shown in the report is for you to copy and paste back into your CMS or theme. No file is uploaded, no change is made on your server. To build missing schema from scratch, use one of our typed generators like Article schema, Organization schema, or FAQ schema.
Which JSON-LD types does it validate?
The analyzer validates every schema.org type that Google currently or formerly supported for rich results: Article, BlogPosting, NewsArticle, Product, Recipe, Event, FAQPage, HowTo, LocalBusiness, Organization, Person, BreadcrumbList, VideoObject, Course, Job Posting, Software Application, and many more. We ship dedicated generators for Product, LocalBusiness, Person, Event, and 17 more so you can build whichever one this audit flags as missing.
Why does the report flag my Article as missing fields when Google still renders it?
Google has tiered required fields: some are strictly required for rich-result eligibility, some are recommended for richer previews. We flag both tiers so you can choose to fix the cosmetic gaps or only the blocking ones. Pages with all recommended fields filled win the richest SERP treatment.
Will ChatGPT and Perplexity cite my page more often with better schema?
Yes, all available evidence points that way. AI search models use schema as a strong signal of source quality, author identity, and topical focus. A page with a clean Article + Author + Organization + sameAs citation graph is significantly more likely to be cited than a competing page with no schema.