CMG Viewer

CMG Viewer ingests a Content Metrics Grid data set to surface domain-relevant signals for content quality and SEO. It targets editors, SEO teams, and content strategists who need structured, artifact-ready metrics rather than ad-hoc checks.
Conceptually, the tool normalizes inputs, computes a coverage score, readability, and linking quality, and then outputs a compact report with recommendations. It emphasizes explicit domain rules, such as minimum topic coverage thresholds and internal linking constraints, making results actionable for downstream workflows.
Core value lies in repeatable, scalable assessments across large content libraries. By separating required vs optional features, it supports MVP use while enabling advanced batch analyses, locale-aware checks, and exportable reports for audits, roadmaps, and performance reviews.
Typical use cases include early-stage content audits, quarterly SEO refreshes, and topic-branch planning. Example: a CMG data snippet for a topic area returns a coverage_score of 0.78, readability of 62, and a prioritized list of actions to improve topic coverage and internal linking.