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Visibility stability by brand cohort

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.

Research tracker page for Trakkr detailing the study The Half-Life of AI Citations, focusing on visibility stability by brand cohort.

The key numbers.

Very stable brands
Only a small minority stay consistently present.
13.2%
Brands halved within 7 days
A large share of brands decay quickly.
47.1%
Weekly mention change
Average weekly movement in mentions.
51.8%
Brands analyzed
Brands covered in the broader longitudinal study.
10,991

The ranked view.

Source
The Half-Life of AI Citations

  1. 1

    Very stable brands

    A small minority maintain consistently high presence.

    13.2%
  2. 2

    Brands halving within 7 days

    Rapid loss after a peak is common.

    47.1%
  3. 3

    Average weekly mention change

    Week-to-week movement is large.

    51.8%
  4. 4

    Average daily mention change

    Even daily volatility is substantial.

    30%

What changed

Very stable brands

Only 13.2 percent of brands maintain a consistently high presence, indicating that long term stability is rare.

Brands halving within 7 days

Rapid loss after a peak is common, with 47.1 percent of brands decaying quickly and losing half their mentions within a single week.

Average weekly mention change

Week to week movement is large, showing an average weekly mention change of 51.8 percent.

Average daily mention change

Even daily volatility is substantial, with an average daily mention change of 30 percent.

MeasureResult
Very stable brands

Only a small minority stay consistently present.

13.2%
Brands halved within 7 days

A large share of brands decay quickly.

47.1%
Weekly mention change

Average weekly movement in mentions.

51.8%

What this study measured.

An observational snapshot.
Tested 30 March 2026.

Read the full methodology

Population and method

Built from 857,138 reports, 108,650 citations, 10,991 brands, and 8 tracked models across a 10-month observation window.

Where the evidence stops

Decay describes observed persistence, not the full causal mechanism behind why a citation disappears.

Brand- and domain-level averages can hide very different retention patterns by query class or model.

Some of the stickiest or most volatile domains come from niche query pockets and should be read as examples, not universal leaders.

“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.”

Mack Grenfell · Visibility stability by brand cohort
The Half-Life of AI Citations · Trakkr Research · Updated 30 March 2026

https://trakkr.ai/trakkr-research/citation-decay/trackers/visibility-stability-tracker
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