Naver prompt volatility tracking
naverprompt_volatilityAnonymous
Naver's answer surfaces are moderately volatile because its blog and cafe corpora are user-generated and refresh quickly, particularly on commercial and local prompts.
How it renders
Derived across the sample set.
Sampling
Volatility is what tells you the right n for every other field. We recommend using it to allocate credits: sample noisy prompts deeply, stable prompts lightly.
Gotcha
Volatility on Naver often means a popular blog post rose or fell, not that anything about your brand changed. Check the source before you report the swing.
What the API returns
A single collection call against Naver for the prompt volatility field, sampled n times and returned as one object per prompt.
{
"engine": "naver",
"field": "prompt_volatility",
"prompt": "best ai visibility tracking tool",
"country": "GB",
"language": "en",
"n": 30,
"volatility": {
"jaccard": 0.42,
"mention_variance": 0.11,
"recommended_n": 75,
"band": "moderate"
}
}Response fields
| Key | Type | Notes |
|---|---|---|
| jaccard | float | Mean pairwise citation-set overlap across samples. |
| mention_variance | float | Variance in brand presence across samples. |
| recommended_n | integer | Samples needed for a ±10 point interval on this prompt. |
| band | string | stable | moderate | volatile. |
Naver prompt volatility FAQ
- What drives Naver volatility?
- Churn in user-generated blog and cafe content, more than model behaviour.
- How often should I collect?
- Weekly for commercial categories. We will advise on yours.
Attribute Naver movement to its real cause
We will run a volatility pass and help you separate corpus churn from brand change.
Across every engine
Compare how prompt volatility behaves on every engine we track.
Prompt volatility across all engines →