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API Status Checker best practices
API Status 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 API Status Checker regularly and compare snapshots after every major change.
Common errors
InputError: Missing required field for api-status-checkerCrawlError: Target page blocked or unavailable for api-status-checkerSchemaError: Structured data validation failed in api-status-checker
FAQ
- How often should I run API Status Checker?
- Run after technical migrations, template updates, and indexing anomalies. Weekly monitoring is a practical baseline.
- What improves API Status Checker output quality most?
- Consistent machine-readable signals, clean inputs, and stronger information architecture generally produce the biggest gains.
Related tools
- Free tools.json Validator – tools.json Checker
Free tools.json validator and tools.json checker. Validate structure for AI discovery. AI agents use tools.json. No signup.
- Sitemap for AI Pages
Check if sitemap includes AI-relevant pages (guides, tools, llms.txt). Free sitemap checker for AI discoverability.
- Free AEO Checker – AI Visibility Analyzer
Free AEO checker and visibility checking tool. One URL: check llms.txt, robots, tools.json, FAQ schema, TTFB. Get AI visibility score. AEO analyzer – no signup.
- Free Schema Markup Checker – FAQ, HowTo, Organization
Free schema markup checker and FAQ schema validator. Check FAQPage, HowTo, Organization JSON-LD. Get schema score. Schema markup analyzer – no signup.