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Schema Markup Diff

It fetches both URLs server-side, extracts every JSON-LD block (the standard snippets) and any Microdata flagged by itemtype attributes, then groups what it finds by schema.org type. The output shows three lists side by side: types both URLs use, types only URL A uses, and types

Keyword Tools
First page to inspect for structured data.
Second page to compare against.

It fetches both URLs server-side, extracts every JSON-LD block (the standard snippets) and any Microdata flagged by itemtype attributes, then groups what it finds by schema.org type. The output shows three lists side by side: types both URLs use, types only URL A uses, and types

This free Schema Markup Diff from KX Toolkit is part of our all-in-one online toolkit. It runs entirely in your browser, so your data never leaves your device for client-side operations. 100% free, forever - no paywall, no credit card, no trial.

How to use the Schema Markup Diff

  1. Enter your seed keyword or phrase.
  2. Pick the country or language if the tool supports targeting.
  3. Click the action button to run the search.
  4. Export the results to CSV, or copy them into your spreadsheet.

What you can do with the Schema Markup Diff

  • Find low-competition long-tail keywords for new content.
  • Audit a page for keyword density and over-optimisation.
  • Build content briefs around real search queries.
  • Plan PPC campaigns with realistic search-volume data.

Why use KX Toolkit's Schema Markup Diff

  • Browser-based: Works on Windows, macOS, Linux, iOS and Android - no install, no extension.
  • Privacy-first: Client-side tools never upload your data; server-side tools delete files right after processing.
  • Mobile-friendly: Full feature parity on phones and tablets - not a stripped-down view.
  • Fast: Optimised for instant feedback. No artificial waiting screens, no email-gated downloads.
  • One hub for everything: 300+ tools across SEO, text, image, PDF, code, color, calculators and more - skip switching between sites.

Tips for the best results

Combine 2-3 different keyword tools - autocomplete, density and competition - for a complete picture before publishing.

Related Keyword Tools

If you find this tool useful, explore the full Keyword Tools collection or browse our complete tool directory. KX Toolkit is built for marketers, developers, designers, students and anyone who needs a quick utility without signing up for yet another SaaS.

What does the Schema Markup Diff actually compare?
It fetches both URLs server-side, extracts every JSON-LD block (the standard <script type="application/ld+json"> snippets) and any Microdata flagged by itemtype attributes, then groups what it finds by schema.org type. The output shows three lists side by side: types both URLs use, types only URL A uses, and types only URL B uses. For any type that exists on both URLs, the tool also produces a property-level diff so you can see which fields one page has filled in and the other has not.
Why might the tool report "no schema" on a page that actually has schema?
Three reasons typically explain it. First, the schema may be injected by JavaScript after the initial HTML loads - server-side fetching only sees the static HTML. Second, the page might block bot user agents or return a 403 to non-browser clients. Third, some plugins write malformed JSON-LD that fails to parse silently. If the diff shows zero schema types but you can see them in Google Rich Results test, JS injection is the most common culprit; consider switching to server-rendered schema for crawlability.
Should two competing pages in the same niche have the same schema types?
They should overlap on the foundational types - Organization, WebSite, BreadcrumbList - and on the page-specific type (Article for blog posts, Product for ecommerce, FAQPage for guides). Differences in adjacent types like HowTo, VideoObject, or Review are where opportunity lives: if a competitor uses VideoObject and you don't, adding it can earn video carousels in search. The diff tool surfaces those gaps quickly so you can prioritise which schema types to add to your stack.
Is the field-level diff a reliable audit, or just a hint?
Treat it as a hint, not a verdict. The diff lists property names that appear on one URL's schema but not the other for a given type - for example, your Article has author and datePublished but is missing image and wordCount. That tells you which fields to consider adding, but it can't tell you whether the missing field is genuinely required for rich results in your industry. Always cross-check Google's structured data documentation for the type before changing your schema.
Can I compare a page on my site against a competitor on a different domain?
Yes. The tool treats both URLs as independent fetches and does not require them to share a domain. That makes it useful for competitive audits - point URL A at your page and URL B at the top-ranking competitor for the same query, then look at which schema types they have layered on. Just remember the comparison is purely structural; whether the competitor's rich results actually trigger depends on Google's eligibility rules, content quality, and many other ranking factors.
Why is one URL's field count higher even though both use the same schema type?
Field count counts every populated property in the JSON-LD object - including nested objects like author, publisher, mainEntityOfPage, and image. A richer schema fills more fields with real data; a thin schema lists the type and only the bare-minimum properties. Higher field count usually correlates with stronger rich-result eligibility, but it is not a strict ranking factor. Aim to match or exceed competitors on properties Google explicitly recommends, not on raw field count alone.

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