Content Decay
Content decay is a sustained decline in the search visibility or business value of a page that once performed well. It can affect organic rankings, impressions, clicks, conversions, or—separately—how often the page is cited in AI-generated answers.
In context
A drop in AI citations is not proof that a page has lost its Google rankings, and a rankings decline does not automatically mean its AI visibility has fallen. Diagnose each surface separately. In Google Search Console, compare the same pages and queries over equivalent periods; review impressions, clicks, average position, and click-through rate alongside seasonality, demand, search-result changes, and conversions. Google's AI Overviews and AI Mode are reported within the overall Web search performance data, so Search Console does not provide a separate AI-feature traffic total. If you track citations in ChatGPT, Perplexity, or other answer engines, sample a consistent set of relevant prompts over time and record the platform, date, and cited URLs; treat these observations as directional because answers can vary. Refresh only when you find a real gap—stale facts, changed intent, weak sourcing, missing first-hand detail, or a clearer answer competitors now provide. Fix the cause, not just the date, and measure the result on each surface independently.
A local-services page loses clicks while impressions and average position stay broadly stable. That pattern suggests checking click-through rate, search-result layout, and changes in the query mix before rewriting the page. Separately, a repeated sample of relevant AI prompts stops citing the page; review whether its answer is still current and directly supported, then track the citation sample independently from Search Console rankings.
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