DeepSeek brand mentions tracking
On pure-model DeepSeek answers, mentions are the only field with content. Nostimates matches Chinese and Latin-script aliases together, because Chinese answers routinely mix both forms of a brand name in one sentence.
How it renders
Plain text in the answer body, in Chinese, English or both.
Sampling
Mentions are more stable across samples than citations, because the model's underlying association with a category changes more slowly than its choice of sources.
Gotcha
What the API returns
A single collection call against DeepSeek for the brand mentions field, sampled n times and returned as one object per prompt.
{
"engine": "deepseek",
"field": "brand_mentions",
"prompt": "best ai visibility tracking tool",
"country": "GB",
"language": "en",
"n": 30,
"mentions": [
{
"brand": "Nostimates",
"alias_matched": "Nostimates",
"count": 2,
"mention_rate": 0.57,
"linked": true
},
{
"brand": "Competitor",
"alias_matched": "Competitor AI",
"count": 1,
"mention_rate": 0.3,
"linked": false
}
]
}Response fields
| Key | Type | Notes |
|---|---|---|
| brand | string | Canonical brand from your configured list. |
| alias_matched | string | The exact surface form found in the answer text. |
| count | integer | Occurrences within a single answer. |
| mention_rate | float | Share of the n samples in which the brand appeared. |
| linked | boolean | Whether the mention was also a citation. |
| context | string | Surrounding sentence, for evidence export. |
What it costs
Included in the base collection. Alias lists are configured per project at no extra cost.
See credit pricing →DeepSeek brand mentions FAQ
- Do I need Chinese aliases?
- Yes. We collect them with you during setup rather than machine-translating and hoping.
- Do you catch mixed-script mentions?
- Yes, including the common pattern of a Chinese name followed by the English one in brackets.
Measure Chinese brand mentions with the right alias list
Send your brands and we will build the Chinese alias set with you before any collection runs.
Other DeepSeek data
Across every engine
Compare how brand mentions behaves on every engine we track.
Brand mentions across all engines →