Oesis Inspector Update

The oesis inspector update analyzes domain content and structure to help align a site's signal with user intent and search expectations. It aggregates page-level signals and domain-wide patterns to quantify content quality, topical coverage, and technical health for content teams, SEO engineers, and product developers during audits, migrations, or localization projects.
core logic combines rule-based checks (quality thresholds, canonicalization, duplicate content detection) with lightweight semantic grouping to form topic clusters. Required features include page-level content quality scoring, keyword coverage mapping, internal linking health, and canonical tag validation. Optional/advanced features add SERP-trend inputs, localization analysis, and competitor benchmarks.
Outputs include a page-level score, a domain health score, topic clusters, content-gap reports, and export-ready reports. The tool operates with public content signals and respects crawl limits; it does not require access to paid data. Use cases include content audits, site migrations, localization readiness, and ongoing content optimization.
Unique differentiators are its explicit domain-modeling approach, audience-centric scoring tied to user intent, and clear mappings from findings to actionable edits that integrate with existing content workflows.