Content Gap Detection

Semantic Clustering
Content Gap DetectorContent gap analysis
Content Gap Detection — The final clustering pipeline stage identifying missing topics by comparing site content against the full topical map.

Content Gap Detection is the sixth and final stage in the clustering pipeline, identifying missing topics by comparing a site's existing content against the complete topical map. It prioritizes gaps using the P1-P4 system: P1 (topic in >3 top 10 titles, critical), P2 (in PAA, high priority), P3 (in Related Searches, medium), P4 (in 1-2 titles, low). The result is a specific list of topics to write with priorities based on SERP data, not intuition. Content Gap Detection closes the clustering pipeline: from seed keyword through expansion, clustering, validation, CORE/OUTER mapping to the 'what to write next' list.

In practice, start with P1 and P2—these are topics Google considers key in your niche that you don't have yet.

Source: AI Semantic SEO Expert, Robert Niechciał (sensai.io)