DeepSeek locale variance tracking
DeepSeek locale work is mostly a language question rather than a country one: the same prompt in Chinese and English returns materially different source sets and often different conclusions.
How it renders
Controlled by prompt language and egress, with language the stronger variable.
Sampling
Each locale is its own sample set. A cross-market comparison at n=30 per market costs what it says on the tin, which is why we surface the arithmetic before you commit.
Gotcha
What the API returns
A single collection call against DeepSeek for the locale variance field, sampled n times and returned as one object per prompt.
{
"engine": "deepseek",
"field": "locale_variance",
"prompt": "best ai visibility tracking tool",
"country": "GB",
"language": "en",
"n": 30,
"locales": [
{
"country": "GB",
"language": "en",
"share": 0.34,
"divergence": 0.02,
"unique_domains": 4
},
{
"country": "DE",
"language": "de",
"share": 0.19,
"divergence": 0.15,
"unique_domains": 11
}
]
}Response fields
| Key | Type | Notes |
|---|---|---|
| country | string | ISO 3166-1 alpha-2 country of the egress used. |
| language | string | ISO 639-1 language the prompt was issued in. |
| share | float | Brand share within that locale. |
| divergence | float | Distance from the global mean for this prompt. |
| unique_domains | integer | Domains cited in this locale and nowhere else. |
What it costs
Each locale multiplies the collection count. Two markets at n=30 is 60 credits per prompt.
See credit pricing →DeepSeek locale variance FAQ
- Should I run Chinese or English prompts?
- Chinese, if the question is about the Chinese market. We will run both if you want the contrast documented.
- Does egress country matter?
- Less than language, but we control it anyway for consistency.
Run your China prompts in the language of the market
We will build the Chinese prompt set with you and show the English contrast where it is useful.
Other DeepSeek data
Across every engine
Compare how locale variance behaves on every engine we track.
Locale variance across all engines →