Metrics
Brand Market Share by AI Model
Shows each brand's weighted market presence broken down by AI model (ChatGPT,
Gemini, Claude, etc.), revealing which platforms favor which brands.
This endpoint calculates share of voice separately for each AI source, enabling comparison of brand
performance across different LLM platforms. Discover if Nike dominates on ChatGPT but loses to Adidas on
Gemini. Critical for AI-specific optimization strategies and understanding platform-specific brand
positioning.
**When to use:** User wants to compare brand performance across AI models, identify platform-specific
strengths, optimize for specific LLMs, or understand multi-platform brand presence.
**Common user queries:**
- "Compare Nike's share of voice across ChatGPT and Gemini"
- "Which AI model favors our brand?"
- "Show market share by LLM"
- "Does brand performance vary by AI source?"
- "Get share of voice breakdown by model"
- "Which brands dominate on each platform?"
**Returns:** Array of brands with share of voice by AI source.
Example: [{"brand": "Nike", "source": "chatgpt-4", "share_of_voice": 0.50},
{"brand": "Nike", "source": "gemini", "share_of_voice": 0.35}]
Required permission: `read:analysis`.
GET
Brand Market Share by AI Model
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 Brand Market Share by AI Model