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An SEO editorial calendar organizes pillar and supporting topic clusters alongside publishing schedules and content decay detection. By scanning existing post frontmatter dates and traffic thresholds, it outputs week-by-week calendar tables prioritizing new content and scheduled refresh queues to maintain topical authority.

Content decay detection scans existing markdown or HTML posts for frontmatter dates and classifies staleness using traffic-based thresholds. It prioritizes refreshes by identifying posts losing traffic, generating a next-refresh queue with 30, 90, or 365-day update cadences to satisfy AI citation freshness requirements.

Planning a quarterly publishing schedule involves generating week-by-week calendar tables that balance content mix ratios, template recommendations, and distribution timing per channel. It processes topic clusters and cadence requirements, like two posts per week, to output a prioritized three-month publishing and refresh plan.

Yes, markdown frontmatter dates are scanned to classify post staleness using traffic thresholds. This data feeds into a freshness update plan that applies 30, 90, or 365-day update cadences, generating a prioritized refresh queue with ownership recommendations to maintain search engine and AI citation recency.

Organizing pillar and supporting content clusters involves proposing three to five topic groupings designed to build topical authority and internal linking. The generated editorial calendar structures these clusters within a week-by-week publishing schedule to systematically cover subjects and signal expertise to search engines.

Scanning existing markdown or HTML blog posts for frontmatter dates is required to classify staleness and generate content refresh queues. While topic cluster design and calendar generation can proceed independently, providing existing post files enables full content decay detection and freshness scheduling automation.