Modeling, generation, quality control, and search intelligence — running entirely on your infrastructure.
Every candidate page passes a six-check evidence gate: unique value explanation, data provenance, counterfactual value, substantive body content, title and description quality, and semantic collision with existing pages. Pages that fail are rejected or returned for enrichment — never silently published.
Schema-driven content types with stable field IDs, rich field types, reusable components, and dynamic zones. Your definitions are data you own, exported and migrated with forward-only migrations.
Templates bind to stable field IDs with a deterministic engine — no executable HTML, no JavaScript evaluation. Every generated page is reproducible from its source record and template version.
A live graph tracks record → template → page relationships. Before changing a schema field or a record, preview exactly which pages are affected and simulate the change.
Source data changed? CMSHub flags dependent pages as stale with per-page age and last-change tracking, then rebuilds them transactionally with immutable versions and rollback.
Score generated pages for AI-search pickup readiness: structured data for AI consumption, answer-target content patterns, and entity-rich markup guidance, per page.
Walk through the record → template → quality gate → page lifecycle demo on the homepage.