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Run each prompt 93 times to report a mention rate within ±10 points.

At 95% confidence and an expected rate near 50%. A sampled AI answer is one draw, not a reading; the number of runs sets how wide the interval around your rate will be. Computed with the exact Wilson half-width, the same function the product uses.

Precision you need

Confidence

50%

50% is the worst case and needs the most runs. If you do not know, leave it there.

Defaults: the demo workspace’s prompt set and cadence.

How the interval narrows at 50%

The same rate at four sample sizes. Precision grows with the square root of n: four times the runs halves the interval.

n = 5
60%23%–88% · n=5
n = 25
52%33%–70% · n=25
n = 93
51%41%–60% · n=93
n = 372
50%45%–55% · n=372

For your prompt set

Runs per prompt
93
Weeks at your cadence
19 (5 runs a week)
Runs per engine
1 674
Across 7 engines
11 718

Pool weeks until each prompt reaches 93 runs; the product does this by default.

Runs needed by precision, 95% confidence

PrecisionAt 50%At 20%
±2.5 pts1 533982
±5 pts381245
±10 pts9360
±15 pts3926
±20 pts2114

Half-width of the interval by sample size

RunsAt 50%At 20%
5±33.0 pts±29.4 pts
10±26.3 pts±22.7 pts
25±18.2 pts±15.1 pts
50±13.4 pts±10.9 pts
100±9.6 pts±7.8 pts
200±6.9 pts±5.5 pts
400±4.9 pts±3.9 pts
1 000±3.1 pts±2.5 pts

Wilson score interval. At 50% this is the worst case.

Notes

The method behind this calculator is written out in Measuring AI visibility honestly .

See these intervals on a real prompt set.

The demo workspace samples a fictional brand across seven engines, five runs per prompt per week, and shows every rate with its interval and n.