Brand mentions tracking across AI answer engines
Brand mention tracking counts unlinked name-drops inside AI answer text. It matters because most brands are named far more often than they are linked, so citation-only reporting systematically understates visibility. Nostimates returns mentions with alias matching and sample frequency on every engine we cover.
How it differs by engine
Mentions are plain text inside the answer body — no markup, no link, nothing to parse structurally.
Google AI Overviews brand mentions
Plain text inside the summary paragraph — no markup, no link, no chip.
google_ai_overviews
Google AI Mode brand mentions
Plain text across a long multi-paragraph answer.
google_ai_mode
ChatGPT brand mentions
Plain text within the answer, often as a numbered or bulleted list of brands.
chatgpt
Perplexity brand mentions
Plain text within the answer, alongside the numbered citation markers.
perplexity
Microsoft Copilot brand mentions
Plain text in the answer body, separate from the footnote list.
copilot
Gemini app brand mentions
Plain text in the answer body, frequently with no corresponding chip.
gemini
DeepSeek brand mentions
Plain text in the answer body, in Chinese, English or both.
deepseek
Qwen brand mentions
Plain text in the answer body, frequently in product-comparison phrasing.
qwen
Doubao brand mentions
Plain text in the answer body, in Chinese.
doubao
Kimi brand mentions
Plain text within long-form answer bodies, usually with several sentences of context.
kimi
Baidu ERNIE brand mentions
Plain text within the SERP AI answer block.
baidu_ernie
Naver brand mentions
Plain text within the answer surface, in Hangul, Latin script or mixed.
naver
Sampling
What the API returns
{
"engine": "google_ai_overviews",
"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. |
Brand mentions FAQ
- What is brand mentions tracking?
- Brand mention tracking counts unlinked name-drops inside AI answer text. It matters because most brands are named far more often than they are linked, so citation-only reporting systematically understates visibility. Nostimates returns mentions with alias matching and sample frequency on every engine we cover.
- How is brand mentions sampled?
- 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.
- What does brand mentions cost?
- Included in the base collection. Alias lists are configured per project at no extra cost.
Get brand mentions on your prompt set
Track it in the dashboard or pull it in through the API. Send us the prompts, the brands and the markets, and we'll come back with a per-engine coverage plan and the credit arithmetic behind it.