The Middleman
Public opinion is no longer shaped directly by the media. It is synthesized, filtered, and explained by Generative AI—the universal explainer of complex policies, historical events, and social initiatives.
Media Coverage
Millions of articles, research papers, and press releases are published daily. This fragmented landscape serves as the foundational training and retrieval data that algorithms scrape, weigh, and internalize.
Generative AI
Public Opinion
Deep narrative extraction
Bias Detection
We uncover political, social, or cultural leanings in AI responses, identifying where models rely on biased training data rather than objective fact.
Fact-Checking
We rigorously test AI claims against your established "ground truth" data, flagging hallucinations and factual errors.
Gap Identification
We find the missing context. Sometimes the threat isn't what the AI says, but what it omits (e.g., failing to mention long-term cost-saving data on a specific policy).
Cross-Model Comparison
A side-by-side analysis of the narrative differences between providers (ChatGPT vs. Gemini vs. Claude) to show where public perception might fracture.
Longitudinal Tracking
AI knowledge isn't static. As models update, the narrative shifts. We monitor these changes over time.
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