Traditional media tools count mentions and measure sentiment. Narrative Prism reads coverage the way a working analyst would: extracting the claims being made, the frames doing the work, and the voices doing the talking. Then tracking all three across the ecosystem in real time.
Narrative Prism decomposes every piece of coverage into its structural elements. The framework is consistent across topics, outlets, and time. That’s what makes coverage comparable in the first place.
The factual assertions a piece of coverage rests on. Extracted, attributed, and tracked across the ecosystem so contested claims can be seen for what they are: which sources are repeating them, which are pushing back, which are quietly dropping them.
The interpretive structure beneath the surface of the words. Which conflict is foregrounded. Which actors are cast as protagonists. Which moral logic the story is asking you to accept. Frames are where narrative power actually lives.
Full attribution by outlet, byline, and quoted source. Who’s amplifying whom. Which voices are gaining ground across the ecosystem. Which voices are being recycled across outlets that pretend to disagree.
Media monitoring was built to track mentions and measure sentiment. That was the right tool for a different era. The problem now is structural: knowing not just what’s being said, but who’s saying it, how it’s being framed, and which narratives are gaining ground.
| Traditional Monitoring | Narrative Prism | |
|---|---|---|
| Output | Article lists | Narrative competition mapped across coverage |
| Analysis | Sentiment scores | Frame analysis: how a story is being told |
| Attribution | “Sources say” | Full voice attribution by outlet, journalist, and quoted figure |
| Alerting | Keyword alerts | Narrative shift detection. Alerts fire when framing changes, not when words appear |
| Summary | Blended summaries | Competing narratives separated and tracked independently |
Two competing narratives on a single topic, tracked across coverage. Source counts, key voices, frame divergence, all visible in one view. This is one of many topics actively tracked in the platform.