AI Insights: Brand Strengths/Weaknesses
Returns AI-generated narrative insights about brand cluster distribution, explaining which brands excel in which themes (e.g., ‘Nike dominates comfort perception’).
This endpoint analyzes cluster share by brand data and generates strategic insights like “Brand X leads in comfort with 45% share but lags in price perception at 12%.” Includes narrative explanations, supporting data, and chart recommendations. Perfect for understanding competitive positioning and identifying brand strengths/weaknesses through AI interpretation.
When to use: User wants AI-interpreted cluster insights, needs narrative explanations of brand positioning, requires strategic recommendations, generates executive summaries, or prefers insights over raw metrics.
Common user queries:
- “Give me insights about brand strengths”
- “Explain cluster distribution patterns”
- “What are the key findings for brand positioning?”
- “Generate strategic insights on pros/cons”
- “Summarize brand performance by theme”
- “Which brands dominate which clusters?”
Returns: Array of insight objects with narrative descriptions and supporting chart data.
Current model in use: gpt-5.4-mini.
Required permission: read:analysis
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.
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
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