Schema Property Has Wrong Type

A property declared with the wrong data type (e.g., price as a string instead of a number, image as text instead of a URL or ImageObject) confuses search engines.

Why it matters

A property declared with the wrong data type (e.g., price as a string instead of a number, image as text instead of a URL or ImageObject) confuses search engines. Google will silently drop the property; in worst cases the entire schema block.

Schedule a fix in your next sprint. Warnings won't block your site but they consistently leave performance on the table. Estimated SEO impact: medium — measurable effect on click-through or relevance.

How to fix

• Check details.prop and details.message for the exact mismatch
• Reference schema.org documentation for the property's expected type
• Common mistakes: numeric properties wrapped in quotes, image URLs missing https://, dates not in ISO 8601

Common causes

If the rule is firing across many pages, the root cause is almost always one of these:

• Schema fields filled with placeholder values during template development that survived to production.
• Required nested fields silently dropped when the upstream API response shape changes.
• Multiple schema types declared on one page where a single canonical type is expected.
• Mismatched values between visible HTML and JSON-LD trigger Google's "manipulative" filter.

Anti-patterns to avoid

Even with the best intentions, these "fixes" make the issue worse — recognise them so you don't ship them:

• Marking up content that doesn't actually exist on the page.
• Different visible price vs schema price.
• Declaring a Product schema for a category listing page.

How atlookup detects this

Our crawler renders each page with a real headless browser, then extracts every JSON-LD / microdata block and validates required + recommended properties against Schema.org and Google's Rich Results guidelines. Pages where the rule fires for schema property has wrong type are flagged on the report.

If you'd like to see this rule fire on your own site, run a free 60-second audit — every page is reported with the exact lines that triggered it.

Tools to verify the fix

Once you've applied the fix, double-check with these external validators:

• Rich Results Test — Google's ground-truth validator for schema eligibility.
• Schema.org validator — Catches malformed JSON-LD before Google does.

Frequently asked questions

Related issues