Naver position tracking
naverpositionAnonymous
Reference order within Naver's answer surface is read directly, with the corpus tagged per position so owned-platform placement is visible rather than blended into an average.
How it renders
Order of references within the answer surface.
Sampling
We report mean position with its spread, because a source that alternates between slot one and slot five is a different story from one that sits consistently at slot three.
Gotcha
Naver's own corpora tend to occupy the early positions. An average position figure that ignores corpus ownership makes the engine look more open than it is.
What the API returns
A single collection call against Naver for the position field, sampled n times and returned as one object per prompt.
{
"engine": "naver",
"field": "position",
"prompt": "best ai visibility tracking tool",
"country": "GB",
"language": "en",
"n": 30,
"positions": [
{
"url": "https://nostimates.com/engines",
"avg_position": 1.8,
"best_position": 1,
"spread": 0.9
}
]
}Response fields
| Key | Type | Notes |
|---|---|---|
| url | string | Cited URL. |
| avg_position | float | Mean ordinal across samples in which it appeared. |
| best_position | integer | Best slot achieved in the sample set. |
| spread | float | Standard deviation of position across samples. |
Naver position FAQ
- Do Naver properties take the top positions?
- Usually. We split position by corpus so it is obvious.
- Does it track Naver organic?
- Loosely. Report them as related but separate signals.
Track Naver position with corpus tagging
We will add corpus-tagged position tracking to your Naver collection.
Across every engine
Compare how position behaves on every engine we track.
Position across all engines →