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.
Related service area: structured data and AI search visibility.
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
REAL CLIENT RESULT · UPWORK PORTFOLIO SAMPLE
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Fix or implement structured data without conflicting markup.
Clear diagnosis, practical fixes, and excellent communication.
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