Visibility stability by brand cohort | Trakkr Research
Research tracker page for Trakkr detailing the study The Half-Life of AI Citations, focusing on visibility stability by brand cohort.
Methodology: Built from 857,138 reports, 108,650 citations, 10,991 brands, and 8 tracked models across a 10-month observation window.
Summary
The benchmark pattern reveals a high degree of volatility in brand visibility. A significant portion of brands experience rapid decay, with nearly half losing half their mentions within a week, while only a small minority maintain a consistently stable presence.
Benchmark rows
| Metric | Value | Context |
|---|---|---|
| Very stable brands | 13.2% | Only a small minority stay consistently present. |
| Brands halved within 7 days | 47.1% | A large share of brands decay quickly. |
| Weekly mention change | 51.8% | Average weekly movement in mentions. |
Ranked view
| Item | Value | Detail |
|---|---|---|
| Very stable brands | 13.2% | A small minority maintain consistently high presence. |
| Brands halving within 7 days | 47.1% | Rapid loss after a peak is common. |
| Average weekly mention change | 51.8% | Week-to-week movement is large. |
| Average daily mention change | 30% | Even daily volatility is substantial. |
Related pages
Continue through the same study cluster.
- what does a thirty one day brand half life actually mean - Related answer page
- are most ai citations one and done - Related answer page
- the median citation lifespan is zero days - Related fact page
Data & Sources
- The Half-Life of AI Citations - Flagship study behind this page
- Page JSON - Machine-readable companion file