Schema Markup Errors

Overview

Schema markup errors occur when structured data embedded in a webpage cannot be parsed correctly by search engines. Structured data uses standardized vocabularies such as Schema.org to describe page content in a machine-readable format. When markup is invalid or incomplete, search engines may ignore the structured data or misinterpret the page content.

Common Causes

invalid JSON-LD syntax within structured data blocks
missing required properties for the schema type being used
conflicting schema types describing the same entity
outdated schema properties no longer recognized by search engines
structured data injected dynamically through JavaScript that crawlers cannot render

How the Problem Appears

structured data errors reported in Google Search Console
rich results such as review stars or business information not appearing in search results
testing tools reporting missing required fields
schema markup visible in page source but ignored by search engines

How It Is Diagnosed

validating structured data using Google’s Rich Results Test
inspecting JSON-LD scripts in the page source
reviewing Search Console enhancement reports for schema errors
testing structured data with Schema.org validation tools
comparing schema implementation against the official schema specification

Typical Fix

correct JSON-LD syntax errors in the structured data script
add required properties defined for the schema type
remove duplicate or conflicting schema definitions
update deprecated schema properties to current standards
ensure structured data is rendered server-side rather than injected only through JavaScript

Technical Website Support

If schema markup errors are preventing search engines from properly understanding your website, technical troubleshooting may be required.