SEO content decay recovery - automated audits, pruning, SOP enforcement

Executive Summary

SaaS organic traffic can collapse after content decay or policy drift even when you have an SOP. Product: automated content-level diagnostics, prune/merge recommendations, and SOP enforcement to restore and sustain SEO clicks. Google Search Console only retains about 16 months of history per the source, so teams are losing diagnostic signal. Search algorithms and SERP features have become more volatile recently, raising the need for continuous automated remediation. Advances in automated content analysis and change detection make it possible to detect decay, rank-impacting rewrites, and safe pruning at scale. The recurring monthly nature of organic traffic and measurable revenue impact for SaaS means buyers will pay for a recurring solution that prevents large traffic regressions. Combine aggregated content-level time series (GSC + analytics) across customers to train a decay-detection engine, then operationalize the successful SOP as automated prescriptions - prune, merge, rewrite, or canonicalize. Evidence from the source: a custom SOP drove traffic from 12K to 20K, and traffic later collapsed, showing both the power of an SOP and the need for durable automation and historical signal retention. The product becomes defensible by collecting anonymized outcome data on which interventions restored clicks, creating a proprietary dataset that improves recommendations over time.