Real Scanning
We actually crawl your pages and detect JSON-LD, Microdata, and RDFa.
Schema Markup Analysis
Discover Your Schema Coverage in Seconds
Scan a sample of your pages for structured data, see which schema types actually fit each page, and get specific, prioritised fixes with examples you can copy.
No signup required · Usually ready in under 15 seconds · Free
Relevant Gaps Only
We only flag schema that fits the page. No Product markup for a site that sells nothing.
Page-by-Page Fixes
Each recommendation says why it matters and what to do, with a JSON-LD example.
Analyzing
This will take just a few seconds...
- Fetching homepage and sitemap...
- Scanning sampled pages...
- Detecting structured data...
- Analyzing schema coverage...
Sampling up to 10 pages to provide fast, credible results
Indicative Schema Score
0 /100
Coverage
Pages Sampled
0
With Schema
0
High Priority
0
Recommendations
0
Scan complete.
How is this calculated?
For each sampled page we work out which schema types are relevant to it: Organization on the homepage, Article on articles, Product on product pages, Service on service pages, and BreadcrumbList wherever breadcrumbs are visible. Each relevant type that is present and passes basic checks earns full credit, present with issues earns half, and missing earns none.
Types a page has no use for are never counted, so a blog is not marked down for lacking Product markup. Policy, login and similar pages carry no expectations at all.
The score is indicative: it covers a sample of up to 10 pages, uses basic checks rather than full validation, and is not a Google metric or a ranking factor.
Analyzed domain: -
Reading the results
- Detected, basic checks passed: the markup is on the page, parses, and has the properties Google documents as required.
- Fails basic checks: the markup is there but broken or missing a required property, so it can't earn a rich result.
- Detected, not checked: found on the page; we don't check this type or format (Microdata and RDFa are detected only).
- Rich result type means Google supports a rich result for that type at all. Eligibility for a specific page still depends on Google, so confirm with the Rich Results Test.
Page-by-page results
What we found on each sampled page, and what we'd change
Free scan vs. complete audit
Get Your Complete Schema Audit
Want a complete analysis of your website? Our team can identify missing schema, prioritise improvements and help with implementation.
What you just got
- An automated scan of up to 10 sampled pages
- Basic markup checks and page-specific suggestions
- Free, instant, no signup
A complete audit with our team
- Every template and page type across your site
- Full validation and fixes ranked by impact
- Help implementing them, at scale
This is a human review, not an instant report. Tell us about your site and we'll reply within one working day.
Why Schema Markup Matters for SEO
Structured data helps search engines understand your content and display it more effectively in search results.
Rich Search Results
Some types make a page eligible for enhanced results, such as product prices, review stars or breadcrumb paths. Google decides when to show them.
More Useful Listings
A rich result can tell a searcher more before they click, like a price or a readable path. That can help click-through, though results vary by query and page.
Clear Entities
Organization markup states who is behind the site, with a consistent name, logo and profiles that search engines and AI systems can connect.
Not a Ranking Shortcut
Schema doesn't speed up indexing or guarantee rankings, rich results or AI citations. It works best on pages that already deserve to rank.
Better Understanding
Help search engines accurately interpret your content type, context, and relationships between pages.
Future-Proof SEO
Google says AI Overviews need no special schema, but markup that matches the visible page keeps your content unambiguous. What the research shows.
Common Schema Types
Product Schema
Display prices, availability, and ratings in search results. Essential for e-commerce sites.
Article Schema
Show headlines, images, and publish dates. Critical for news sites and blogs.
Local Business
Describes your address, hours and contact details. Your Google Business Profile drives Maps; this keeps your own site consistent with it.
FAQ Schema
Google no longer shows FAQ rich results. The markup is harmless if it matches visible questions, but it won't change how your listing looks.
Review Schema
Star ratings can show for products and some other types. Reviews a business publishes about itself aren't eligible for stars.
BreadcrumbList
Display navigation paths in search results. Improves site structure understanding.
Event Schema
Show event dates, locations, and ticket info. Perfect for event listings.
Video Schema
Enable video previews and thumbnails in search. Boosts engagement for video content.
Once the scan tells you which types are missing, implementation is platform-specific. WordPress users can follow our guide to schema markup in WordPress for adding these types with or without a plugin.
How Our Schema Analyzer Works
Discovery
We fetch your homepage and sitemap to find representative pages.
Sampling
We scan up to 10 pages across page types, leaving policy and login pages until last.
Detection
We find JSON-LD, Microdata and RDFa, and run basic checks on the JSON-LD.
Recommendations
We work out each page's type and suggest only the schema that fits it.
This is a sample of up to 10 pages, not a full site audit.
What This Analyzer Does, and Doesn't
What it checks
Which schema types each sampled page carries, whether its JSON-LD parses, and whether it has the properties Google documents as required. It also notes whether Google offers a rich result for each type.
How opportunities are found
We infer each page's type from its URL, its existing markup, its publish date and visible breadcrumbs, then compare it with the schema that type of page normally needs. Broken markup is flagged first, because fixing it is usually the quickest win.
Why missing schema isn't always a problem
Schema.org has hundreds of types and most pages need two or three. A contact page doesn't need Product markup, and a type Google shows no rich result for may not be worth the effort. We only flag what fits.
How it differs from the Rich Results Test
Google's Rich Results Test validates one URL in depth. This tool samples several pages to show where markup is missing or broken across your site. Use it to find the gaps, then the Rich Results Test to confirm each fix.
What to do next
Fix anything marked High first, then add the missing types that fit. Our schema errors guide covers common failures, and the schema at scale guide covers rolling markup out across templates. WordPress users can start with schema in WordPress.
When to ask for help
If the scan finds problems across whole templates, or you run a large site, a complete audit covers every page type and comes with implementation help. .
More on structured data in the Schema Markup hub.