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licenseA
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maintenanceEnables AI agents to check whether a public website is crawlable, understandable, and ready for AI search workflows through local-only audits of robots.txt, sitemaps, metadata, and llms.txt.
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50 npm
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MIT
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Scored across 4 tools
Each tool targets a distinct aspect of website metadata for AI discoverability: robots.txt, llms.txt, schema markup, and meta directives. No functional overlap.
All tool names follow a clear verb_noun pattern: check_robots_txt, fetch_llms_txt, detect_schema_markup, check_meta_directives, with consistent snake_case.
4 tools is an ideal size for this focused domain—each tool addresses a necessary and distinct inspection task without redundancy or clutter.
The set covers the key AI-related metadata surfaces: robots.txt, llms.txt, schema.org markup, and meta robots directives. A minor gap is direct sitemap inspection, though sitemaps are referenced in robots.txt.