| Purpose | Extract structured data for custom analysis and dashboards | Retrieve summarized, ready-to-use insights via queries | Integrate GWI insights directly into AI assistants and workflows |
| Interaction mode | Structured API requests (parameter-based) | Natural language prompt or structured request | Natural language, machine-readable query translation |
| Insight format | Raw variables and tables | Summarized insights (e.g. X%s of Gen Z prefers Y) | Textualized outputs designed for LLMs/Copilots |
| Use case examples | Feed GWI data into BI dashboards, tools, or models | Ask questions and get insights about your specific audience to help with content planning or persona building | Enable copilots to answer audience questions and use these results to shape AI model outputs - whether generating text, creating imager, or guiding the actions of agents and other MCPs |
| End user | Data analysts, data engineers | PMMs, researchers, content strategists | Product, AI, innovation teams using assistants or LLM tools |
| Setup effort | High (requires integration and data handling) | Low (requires some understanding of query structure) | Low (using natural language) |
| Best for | Bulk analysis, exploration, custom visualizations | Self-serve insight discovery without logging into the platform | Real-time, context aware audience intelligence inside other tools, agentic platforms and workflows. |
| Common tools integrated with | Tableau, PowerBI | Internal tools, campaign planning | Chatbots, copilots, AI agents, Claude |
