Metrics
Combined Brand Awareness Metrics
Shows both mention frequency and ranking position for each brand in one response,
providing a complete picture of brand awareness and prominence.
This endpoint combines two key metrics: how often brands are mentioned (recall) and where they rank
when mentioned (prominence). A brand with high mention rate but low position might be frequently
mentioned but not prioritized, while high mention rate with high position (low number) indicates market
leadership. Perfect for comprehensive brand performance analysis.
**When to use:** User wants complete brand awareness data in one call, needs both recall and prominence
metrics, wants to avoid multiple API calls, or requires full brand performance profile.
**Common user queries:**
- "Show me complete brand awareness metrics"
- "Get mention rates and positions together"
- "What's Nike's full awareness profile?"
- "Compare brands on both recall and ranking"
- "Give me all brand awareness data"
- "Show frequency and position combined"
**Returns:** Array of brands with both mention_rate, average_position, and group_details showing
the breakdown of original brand names within each unified brand.
Example: [{"brand": "Nike", "mention_rate": 0.85, "average_position": 1.2,
"group_details": [{"name": "Nike Air Max", "mentions_share": 0.6, "nb_mentions": 600, "average_position": 1.0},
{"name": "Jordan", "mentions_share": 0.4, "nb_mentions": 400, "average_position": 3.0}]},
{"brand": "Adidas", "mention_rate": 0.62, "average_position": 2.5, "group_details": []}]
Required permission: `read:analysis`.
GET
Combined Brand Awareness Metrics
Path Parameters
Query Parameters
Filter by a list of persona IDs. Values should be comma separated, without brackets or spaces. The IDs are resolved to the persona labels recorded on the analysis, so this returns the same rows as the equivalent persona__in call. Use it for analyses that carry persona_ids; analyses predating persona records have none, and must be filtered with persona or persona__in. An ID that is not one of the analysis's personas matches no rows.
Filter by one specific source.
Available options:
claude-3-5-sonnet, claude-4-5-sonnet, claude-4-6-sonnet, claude-4-sonnet, deepseek-chat, deepseek-reasoner, deepseek-v3.2-maas, gemini-1.5-pro, gemini-2.0-flash, gemini-2.5-flash, gemini-2.5-flash-grounded, gemini-2.5-flash-lite, gemini-3-flash-preview, gemini-3.5-flash-lite, google-ai-mode, gpt-3.5-turbo, gpt-4-turbo, gpt-4o, gpt-4o-mini-search, gpt-5, gpt-5.2, gpt-5.4-mini, meta-llama-3.1-70B-instruct-turbo, meta-llama-3.2-70B-instruct-turbo, meta-llama-3.3-70B-instruct-turbo, meta-llama-4-maverick, mistral-7B-instruct, muse-spark-1.2, muse-spark-1.3, perplexity-sonar, rufus Filter by a list of sources. Values should be comma separated, without brackets or spaces
Available options:
claude-3-5-sonnet, claude-4-5-sonnet, claude-4-6-sonnet, claude-4-sonnet, deepseek-chat, deepseek-reasoner, deepseek-v3.2-maas, gemini-1.5-pro, gemini-2.0-flash, gemini-2.5-flash, gemini-2.5-flash-grounded, gemini-2.5-flash-lite, gemini-3-flash-preview, gemini-3.5-flash-lite, google-ai-mode, gpt-3.5-turbo, gpt-4-turbo, gpt-4o, gpt-4o-mini-search, gpt-5, gpt-5.2, gpt-5.4-mini, meta-llama-3.1-70B-instruct-turbo, meta-llama-3.2-70B-instruct-turbo, meta-llama-3.3-70B-instruct-turbo, meta-llama-4-maverick, mistral-7B-instruct, muse-spark-1.2, muse-spark-1.3, perplexity-sonar, rufus Combined Brand Awareness Metrics