Baidu ERNIE share of voice tracking
Baidu share of voice combines mentions and citations across n samples with a 95% interval, and because collection is anonymous the sample sizes here can be large enough to tighten that interval properly.
How it renders
Derived across the sample set from mentions and citations combined.
Sampling
This is the field where n matters most. At n=1 the metric is noise; at n=30 the interval is typically tight enough to defend in a client report.
Gotcha
What the API returns
A single collection call against Baidu ERNIE for the share of voice field, sampled n times and returned as one object per prompt.
{
"engine": "baidu_ernie",
"field": "share_of_voice",
"prompt": "best ai visibility tracking tool",
"country": "GB",
"language": "en",
"n": 30,
"share_of_voice": [
{
"brand": "Nostimates",
"share": 0.34,
"ci95": {
"low": 0.2,
"high": 0.52
},
"n": 30
},
{
"brand": "Competitor",
"share": 0.21,
"ci95": {
"low": 0.1,
"high": 0.38
},
"n": 30
}
]
}Response fields
| Key | Type | Notes |
|---|---|---|
| brand | string | Brand from the configured competitor set. |
| share | float | Point estimate across the sample set. |
| ci95 | object | 95% Wilson interval as { low, high }. |
| n | integer | Samples behind the estimate. |
| delta_prior | float | null | Change against the previous run of the same prompt set. |
What it costs
Derived at no extra credit cost, but it scales with n — the interval is bought with samples.
See credit pricing →Baidu ERNIE share of voice FAQ
- What sample size should I use?
- n=30 minimum, and Baidu is cheap enough that n=50 is often worth it on your priority prompts.
- Does the interval get tighter?
- Yes, roughly with the square root of n. Baidu is where that is most affordable.
Report Chinese share with a tight interval
We will size the sample and quote the credits for your Baidu prompt set.
Other Baidu ERNIE data
Across every engine
Compare how share of voice behaves on every engine we track.
Share of voice across all engines →