Topic Saturation AI Prevents Content Cannibalization

Content teams are adopting Topic Saturation AI to detect when further content on a theme yields diminishing returns, combining keyword and SERP data, engagement metrics, and LLM judgments. The article outlines an AI Topic Saturation Score (ATSS) 0–100, core data inputs, and a 60-minute playbook of clustering, mapping, SERP analysis, and action recommendations. Implementers can use ATSS to decide create/update/merge/pause actions and reduce crawl waste.