What is Content decay curve?
The content decay curve is the measurable trajectory citation share rides on an un-refreshed priority page as it ages past the engine's freshness window. The curve has three phases: latency (months 0–6, share holds or trends mildly up as inbound links accumulate), compression (months 6–12, share compresses 15–35% relative to peak as the substrate begins weighting age into the retrieval ranking and the page loses long-tail share first), and drift (months 12+, share drifts toward zero on commercial queries at 8–12% per month and recovery requires a full content refresh rather than a cosmetic date update). The curve is observable per page when citation share is captured weekly — programs that score weekly detect the compression phase 6–10 weeks ahead of the drift phase, which is enough time to ship a refresh sprint before the page exits the active citation pool entirely.
How it relates to AI UGC
The image-side decay curve runs faster than the text-side — multimodal carousel slot losses lead text citation losses by 5–7 weeks on freshness-driven drift. A persona-locked AI UGC refresh on ppl.studio's production cadence holds the carousel slot through the text refresh interval, so the image layer never exits the active citation pool while the text refresh sprint completes.
Key statistics
- Mid-2026 content decay curve phases: latency (months 0–6, share holds steady), compression (months 6–12, 15–35% relative to peak), drift (months 12+, 8–12% per month toward zero on commercial queries) (decay-cohort audits, 2026).
- Weekly citation share capture detects the compression phase 6–10 weeks ahead of the drift phase — enough lead time to ship a refresh sprint before the page exits the active citation pool (early-detection cohort, 2026).
- Pages whose multimodal carousel slot decay leads text citation decay by 5–7 weeks confirm freshness as the drift cause — the lead-lag pattern is the single highest-signal diagnostic for freshness-driven loss vs competitor or substrate causes (drift-diagnostic audits, 2026).