Qwen brand mentions tracking
Qwen names brands freely in commerce contexts, often without linking anything. Nostimates matches Chinese and Latin-script aliases against the answer text on every sample.
How it renders
Plain text in the answer body, frequently in product-comparison phrasing.
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 Qwen for the brand mentions field, sampled n times and returned as one object per prompt.
{
"engine": "qwen",
"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 →Qwen brand mentions FAQ
- Why does Qwen mention so many brands?
- Commercial prompts pull it into list-and-compare mode. Share against a defined competitor set is the only useful reading.
- Do you need Chinese aliases?
- Yes, and we build them with you before collection starts.
Measure Qwen mentions against a real competitor set
Send your brands and rivals and we will return share rather than a bare count.
Other Qwen data
Across every engine
Compare how brand mentions behaves on every engine we track.
Brand mentions across all engines →