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Fact-Check Markup Checker best practices
Fact-Check Markup Checker works best when crawlability, structured data, and clear intent are aligned. Use this guide to improve reliability and citation potential.
Common causes
- Machine-readable metadata is incomplete or inconsistent across templates.
- Input data is valid but missing context needed for high-confidence analysis.
- Technical signals (robots, canonical, schema, sitemap) conflict between pages.
Fixes
- Standardize metadata and schema on all key page types.
- Validate robots, sitemap, llms.txt, and tools.json in each release cycle.
- Run Fact-Check Markup Checker regularly and compare snapshots after every major change.
Common errors
InputError: Missing required field for fact-check-markup-checkerCrawlError: Target page blocked or unavailable for fact-check-markup-checkerSchemaError: Structured data validation failed in fact-check-markup-checker
FAQ
- How often should I run Fact-Check Markup Checker?
- Run after technical migrations, template updates, and indexing anomalies. Weekly monitoring is a practical baseline.
- What improves Fact-Check Markup Checker output quality most?
- Consistent machine-readable signals, clean inputs, and stronger information architecture generally produce the biggest gains.
Open Fact-Check Markup Checker →
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