SEO · Schema & structured data audit
Structured data that matches what's actually on the page.
Surgbly audits JSON-LD for presence, validity, and template consistency, then generates schema fixes tied to visible content and product feeds.
Schema recommendations are grounded in visible page content, product feeds, or customer-provided data.
{
"@type": "Thing",
"name": "Running shoe — Trail 2"
}
- Organization
- Product
- FAQPage
Schema that's present isn't the same as schema that's right.
A schema checker tells you JSON-LD exists. It doesn't tell you whether the type is right, whether it matches what's on the page, or whether the same broken template affects every product you sell.
Wrong type, still "valid"
"@type": "Thing" parses fine. It just doesn’t tell Google or an AI engine this is a product.
Schema that lies
Structured data claiming a rating or price the visible page doesn’t actually show.
One template, thousands of pages
A missing field in the product template shows up on every SKU, not just one.
Duplicate and conflicting markup
Two schema blocks on the same page disagreeing with each other confuse more than they help.
How this feature works
From a JSON-LD check to a fix grounded in real data.
Audit schema presence and validity
Every priority page and template checked for schema presence, JSON-LD validity, and required or recommended fields for its type.
6 templates audited
Match schema to visible content
Structured data claims are compared against what’s actually rendered on the page — no invented ratings, prices, or availability.
Unsupported claim found
- Rating schema removed until a visible, truthful rating exists.
Check template consistency
Find where one template’s schema differs from another, or conflicts with a second schema block on the same page.
18,000 pages affected
Cover the entities that matter
Organization, WebSite, Product, FAQPage, HowTo, BreadcrumbList, and LocalBusiness schema audited for AEO/GEO relevance.
7 of 9 entity types covered
- Organization — present and valid
- WebSite — present and valid
- Product — missing availability field
- FAQPage — present on 40 pages
- LocalBusiness — not yet added
Generate the grounded fix
Schema fixes are tied to visible content, product feeds, or customer-provided facts, then routed as a Fix Pack for approval.
Routed to Fix Pack
- "@type": "Thing"
+ "@type": "Product"
Applies across all 18,000 affected pages.
Explore it yourself
Explore the schema workspace.
Key capabilities
Everything a schema audit needs to stay honest.
Audit
- Schema presence, validity, and type detection
- Required and recommended field coverage
- Duplicate or conflicting schema detection
Alignment
- Visible-content match checks
- Product and feed consistency
- Page-template schema consistency
Entity coverage
- Organization, WebSite, Article, Product, SoftwareApplication
- FAQPage, HowTo, BreadcrumbList, LocalBusiness
- Person for named authors and reviewers
- ImageObject and VideoObject with creator, dates, descriptions, and transcripts
- Review/AggregateRating only with visible, truthful support
Business outcomes
What changes once schema has to match the page.
Right type, not just valid JSON
Know the schema type actually matches what the page is, not just that it parses.
Claims that match reality
Ratings, prices, and availability in schema always trace back to something visible or provided.
Template issues caught once
A missing field in one template gets fixed before it reaches every page that uses it.
Entity coverage that matters
Coverage tuned for the entity types AI answer engines actually read.
Why Surgbly does it better
A grounded fix instead of a green checkmark.
Traditional
- 1Schema checker confirms JSON-LD exists.
- 2Assumes existing schema is correct.
- 3Nobody checks it against the visible page.
- 4The same broken field ships on every new product.
Surgbly
- 1Validate type, fields, and visible-content match.
- 2Catch template-wide issues once, not per page.
- 3Generate a fix grounded in real data.
- 4Route for approval before it touches a live page.
Use cases
Built for the moment schema stops matching reality.
Integrations
Delivers schema through the surface you choose.
- WordPress
- Shopify
- Webflow
- GitHub
- Snippet
Questions
Answers before you have to ask.
What schema types are covered?
Organization, WebSite, Article, Product, SoftwareApplication, FAQPage, HowTo, BreadcrumbList, LocalBusiness, and Review/AggregateRating when truthfully supported.
Does a valid JSON-LD block mean it’s correct?
No — it means it parses. Surgbly separately checks whether the type and fields actually match the page.
How are large catalogs handled?
Issues are grouped by template, so one missing field across thousands of SKUs is one finding, not thousands.
Make sure your schema tells the truth.
Run a schema audit on your own site and see the first grounded finding.