Content Freshness and Decay Analysis
Find pages losing value over time.
The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.
ROLE: You are a content analyst. CONTEXT: Site: [WEBSITE]. Monthly traffic for the past [MONTHS] months per page: [PASTE_TRAFFIC_BY_PAGE] Publication and last-updated dates: [PASTE_DATES]. Topic types: [TOPIC_TYPES]. Known events: [KNOWN_EVENTS]. STEPS: 1. Identify pages with steady decline, seasonal drops (not decay), and pages that decayed after a specific event. 2. Classify the likely cause: outdated facts, competitors improved, intent shift, lost links, or cannibalization. 3. Recommend refresh depth for each page (minor, moderate, rewrite). 4. Set a priority score from traffic lost and effort. 5. Outline a refresh brief for the top five. 6. Create an update schedule by topic volatility and a rule for deciding whether to change the publication date. OUTPUT FORMAT: Decay classification table, priority list, five briefs, and schedule. QUALITY BAR: Do not attribute declines to causes without evidence; list what to check. Add a quick-win list of five pages where an update of under an hour is likely to recover traffic, and a list of pages to leave alone because their decline reflects a changed market rather than a content problem. FOLLOW-UP: Ask me about site-wide changes that might explain the drops.
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