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Blocked by AI Tester best practices

Blocked by AI Tester 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 Blocked by AI Tester regularly and compare snapshots after every major change.

Common errors

  • InputError: Missing required field for blocked-by-ai-tester
  • CrawlError: Target page blocked or unavailable for blocked-by-ai-tester
  • SchemaError: Structured data validation failed in blocked-by-ai-tester

FAQ

How often should I run Blocked by AI Tester?
Run after technical migrations, template updates, and indexing anomalies. Weekly monitoring is a practical baseline.
What improves Blocked by AI Tester output quality most?
Consistent machine-readable signals, clean inputs, and stronger information architecture generally produce the biggest gains.

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