Stage 2 — What's Missing
Coverage Gaps
Every gap the system needs to fill
Scout reads the knowledge graph Atlas built and maps every gap: missing entities, unanswered questions, absent supporting articles. This becomes the build queue for Forge.
AI can tell when your topic coverage is thin
A strong landing page is not enough if the supporting territory around it does not exist. Missing context weakens authority even when the core page looks solid.
- Core pages answer the main query but ignore follow-up questions
- Supporting articles do not cover the adjacent concepts AI expects
- Competitors own more topic territory and get treated like the safer source
- Teams know they need more content but not which pieces matter first
Next best article, entity, and question prioritized for you
How Coverage Gaps works
- Read the topic model: Start from the authority map so missing coverage is measured against the territory you want to own.
- Spot the missing pieces: Semantiz surfaces absent entities, thin areas, and missing supporting angles across the cluster.
- Turn gaps into a plan: Get a prioritized sequence of pages, briefs, and improvements the team can actually ship.
See what should exist next
Gap analysis designed for planning real authority-building work.
- Missing entities: See which concepts and references are absent from your current cluster.
- Supporting article ideas: Identify the pages that would make the main topic feel complete to AI.
- Priority order: Decide what to create first instead of expanding coverage at random.
- Competitive context: Compare your cluster depth with category leaders and rivals.
Coverage planning tied to authority
We use the topic model, not just keyword lists, to identify which missing content changes how AI interprets your expertise.
Turn missing coverage into an execution queue
Move from “we should write more” to a concrete plan grounded in authority gaps.
