Schema Markup JSON-LD Google Search Console Technical SEO

Schema Markup Fix & JSON-LD Implementation

A focused Technical SEO project that removed conflicting schema, rebuilt sitewide JSON-LD, and validated the new structured-data framework for cleaner search-engine processing.

Schema implementation and JSON-LD optimization case study
Focus Structured data
Issue type Conflicting markup
Validation Rich results tested
Work type Architecture + implementation

The business problem

The page was indexed, but rich-result eligibility was being limited by incorrect, incomplete, or conflicting schema markup. The goal was to rebuild the structured data framework so that it was cleaner, entity-based, and properly connected.

What I implemented

  • Redesigned the schema architecture using sitewide JSON-LD
  • Corrected schema type selection, nesting, and entity relationships
  • Repaired markup conflicts that were affecting Search Console enhancement signals
  • Validated the implementation using Google’s testing tools
  • Extended the work to additional rich-result opportunities such as video schema where relevant

Result

The result was a stronger structured-data foundation and clearer Google signals. Before-and-after evidence showed the page moving from “URL is on Google, but has issues” to a cleaner state, while additional rich-result validation confirmed the markup was recognized correctly.

Project focus: Remove incorrect or conflicting schema and rebuild the structured-data framework for cleaner validation.

Evidence & project documentation

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