Schema Markup Validator
Checks Schema.org syntax
Confirms your custom JSON-LD is well-formed and uses valid Schema.org vocabulary. It does not tell you whether Google will actually show a rich result.
Use it: while writing markupTest any SaaS product, pricing, or feature page for JSON-LD, validate your SoftwareApplication and Organization structured data against Schema.org, and find the missing fields, wrong types, and errors that quietly keep your pages out of Google rich results and AI answers.
This is an illustrative preview of how an audit reads. Connect your store to JSON Schema App to validate the live page and auto-fix every error found.
Fix these in JSON Schema AppThe audit reads each block of JSON-LD on your SaaS page, wherever it lives in the head or body, maps it to its Schema.org type, and flags the required and recommended properties Google looks for, so your product, pricing, and content pages are all covered.
The single most important type for a SaaS product page: name, applicationCategory, operatingSystem, price, and rating that unlock the software app rich result in Google.
Question and answer blocks on pricing and support pages. Google retired FAQ rich results in 2026, but the markup still helps AI assistants quote your answers accurately.
For pricing pages: each plan as a Product with an Offer and PriceSpecification, so search and AI engines read your tiers, prices, and billing terms correctly.
For your blog, guides, and changelog: headline, author, image, and date that qualify your content marketing for article enhancements and AI citations.
Your company entity: legal name, logo, URL, and social profiles, best added site-wide so Google builds your knowledge panel and links every page back to your brand.
The navigation trail Google can show in place of a raw URL, giving searchers context about where a page sits in your product, docs, or blog hierarchy.
Three steps, no learning curve. Run the check, read the report, then fix what matters most for rich-result eligibility.
Drop in any live product, pricing, feature, or blog URL. The SaaS Schema Validator fetches the page and reads its JSON-LD exactly as a search crawler does, whatever stack it runs on.
See each detected type with a clear status: valid, missing a recommended property, or carrying an error. The report flags the wrong-type and freemium-pricing mistakes SaaS sites make most.
Add or correct your JSON-LD in the page head, your CMS schema settings, or a tag manager, then deploy. Or let JSON Schema App generate and maintain valid JSON-LD across your product, pricing, and content pages, and re-run the audit.
SaaS sites tend to make the same handful of structured data mistakes, from the wrong type to mismodeled pricing. Here is what each common issue means, how serious it is, and the fix.
Most SaaS pages ship with none, so search and AI engines have to guess what your product is from body text. Add SoftwareApplication and Organization to become eligible.
A common SaaS mistake: your product page uses Product when SoftwareApplication describes a subscription tool far better. Use SoftwareApplication for the product itself.
A single Offer can't express a free tier plus paid plans. Use AggregateOffer with lowPrice 0 and a highPrice, or an array of Offer objects, one per tier.
A field Google requires is absent, so the block is ineligible. For SoftwareApplication this is usually applicationCategory or operatingSystem, plus offers or aggregateRating.
An aggregateRating built from testimonials you host about yourself won't show stars. Google needs ratings from genuine, independent reviews, not first-party marketing copy.
This type belongs on your product page, not on blog posts, docs, or help articles. Spraying it site-wide confuses crawlers. Use Article or BreadcrumbList on those pages.
Valid markup makes a page eligible for rich results. It does not force them to appear. For SaaS sites, it is usually one of these.
Schema behind a login, on a staging domain, or rendered only by client-side JS can be invisible to Google. Test the public, server-rendered production URL.
Google can only show a rich result for a page in its index. Confirm the URL is indexed in Search Console before assuming the markup is the problem.
Google no longer shows review stars for reviews a business writes about itself on its own page. Star ratings need to come from genuine, independent reviews.
If your schema lists a price, rating, or feature a visitor cannot see on the page, or a value that has gone stale, Google withholds the rich result. Keep them in sync.
After a fix, Google has to re-crawl and re-process the page. Rich results can take days to reappear, so re-check, then give it time rather than changing things again.
Structured data is not a direct ranking factor. What it does is make your SaaS content machine-readable, so search engines and AI assistants can understand a page well enough to enhance how it appears. That often means a richer listing, a higher click-through rate, and a better shot at being cited accurately in AI answers about your product.
SaaS sites are hard for crawlers to parse: multiple products, tiered pricing, feature matrices, and docs all describe the same underlying software. Without structured data, search and AI engines guess at those relationships and often get your product wrong. This SaaS Schema Validator exists to surface the gaps before they cost you.
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "Flowdesk",
"applicationCategory": "BusinessApplication",
"operatingSystem": "Web",
"offers": {
"@type": "Offer",
"price": "29.00",
"priceCurrency": "USD"
},
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.7",
"ratingCount": "1250"
}
}
There's no single SaaS schema tool, so you lean on Google's. They are not interchangeable, which is why markup can pass one and fail another. Here is what each does.
Checks Schema.org syntax
Confirms your custom JSON-LD is well-formed and uses valid Schema.org vocabulary. It does not tell you whether Google will actually show a rich result.
Use it: while writing markupChecks Google eligibility
Tests your page against Google's feature requirements and previews the software app result with rating and price. This is why clean markup can still throw errors here.
Use it: on the live URLChecks live issues at scale
Reports structured data issues across your whole site from real crawls, and flags problems after pages go live. Best for monitoring at scale, not first-pass checks.
Use it: ongoing, site-wideRun a free check on any SaaS URL, then let JSON Schema App generate and maintain valid JSON-LD across your product, pricing, and content pages automatically.
Find and fix the schema gaps keeping you out of Google's rich results and AI answers from ChatGPT and Gemini.
- Sundar Pichai
JSON Schema App automatically detects, fixes, and manages structured data to help search engines and AI understand your website, improving visibility and rich results.
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