Sherlock Web Tool

Sherlock Web Tool analyzes a site’s content landscape, technical health, and competitive position to deliver a repeatable, data-driven SEO audit. It focuses on domain-wide signals, not individual-page marketing copy, and outputs a structured report suitable for auditors, developers, and content teams.
Conceptually, it combines on-page signals (titles, headings, keyword distribution, content depth) with technical signals (crawlability, canonicalization, robots.txt reachability, structured data) and market signals (competitor keyword coverage, content gaps). Scores are normalized and aggregated into a composite health score with prioritized recommendations.
Who benefits: SEO managers seeking scalable audits, content strategists identifying gaps, and developers implementing fixes. Unique value lies in unified keyword-to-page mappings, standardized scoring rules that respect localization, and outputs ready for AI agents to consume or export into downstream tooling.
Core features include domain validation, signal retrieval, scoring, gap detection, and export options. Use cases include site-wide audits, migration readiness checks, competitor benchmarking, and ongoing performance monitoring.