**Structured data only helps if it's valid — broken or mismatched schema earns no rich results and can confuse engines.** This check looks at whether your structured data parses correctly, uses an appropriate schema.org type for the content, and includes the properties that type needs. Having schema isn't enough; it has to be correct to do its job.
It checks that your structured data is not just present but correct and useful. Specifically:
- Valid syntax — the JSON-LD parses without errors and is well-formed.
- Appropriate type — it uses a schema.org @type that genuinely matches the content (Article for an article, Product for a product).
- Completeness — it includes the properties that type expects, rather than being generic or missing required fields.
Valid markup with an appropriate type passes; valid but generic or incomplete schema is a warning; a syntax error or the wrong type is a fail.
GEObubbly parses your structured data and checks its syntax, type and completeness. It's a core, scored Structured Data check that runs directly against the page's markup.
Adding structured data only pays off if it's valid. Three things can go wrong. First, syntax errors: a malformed JSON-LD block — a missing comma or bracket — may be ignored entirely, so all your markup effort is wasted. Second, the wrong type: marking a blog post as a Product, or using an overly generic type, misrepresents the content and can be treated as misleading. Third, incompleteness: each schema type has properties engines expect (an Article needs a headline and author; a Product needs offers to show price), and omitting them means you won't qualify for the corresponding rich result. Invalid or mismatched schema isn't just unhelpful — it can actively confuse engines about what your page is. The fix is to validate your markup (Google's Rich Results Test and the schema.org validator both do this), use the correct type for the content, and fill in the required properties. For GEO, accurate schema is what lets AI engines trust your machine-readable description, so validity directly affects how reliably you're understood.
Valid structured data meets three conditions: it's syntactically well-formed (the JSON-LD parses without errors — no missing brackets or commas), it uses a schema.org @type that genuinely matches the content, and it includes the properties that type requires or recommends. Markup that's broken is usually ignored entirely; markup that uses the wrong type or omits required fields won't earn the corresponding rich result and can mislead engines about what the page is. Validating against Google's Rich Results Test or the schema.org validator confirms all three are satisfied.
The most common reasons are that the markup is invalid, incomplete, or doesn't match a rich-result-eligible type. If there's a syntax error the markup may be ignored; if required properties are missing (like an offer on a Product, or a rating on a Review) the page won't qualify; and not every schema type produces a rich result. It can also be that the content doesn't visibly match the markup, which engines treat as a violation. Run the URL through Google's Rich Results Test, which reports whether the page is eligible and lists any errors or missing fields to fix.
Using the wrong schema type misrepresents your content to engines and undermines the whole point of the markup. Marking an article as a Product, or applying an overly generic type that doesn't describe the page, can prevent you from earning the rich result you intended and, if the markup clearly contradicts the visible content, can be treated as misleading or spammy. The fix is to match the @type to what the page actually is and include the properties that type expects, so engines get an accurate, trustworthy description rather than a confusing one.
Use a validation tool: Google's Rich Results Test checks whether a page is eligible for rich results and reports errors and warnings for the supported types, while the schema.org validator checks general schema.org conformance more broadly. Paste in your URL or markup and the tool lists syntax errors, missing required properties and type issues to address. Validate whenever you add or change structured data, since a small error can silently disable the rich result you were aiming for. Both tools are free and give specific, actionable feedback.
Invalid schema mainly costs you the benefit you were after — rich results and clear machine understanding — rather than triggering a direct ranking penalty for honest mistakes. However, structured data that clearly misrepresents the page (marking up content that isn't there, or using a deliberately wrong type) can be treated as a spam/structured-data violation and lose rich-result eligibility. For both reasons, keeping markup valid, accurate and matched to the visible content is important: it ensures you actually gain the advantages and avoid being flagged for misleading markup.