Emerging Signals
Identify meaningful changes in mention volume, sentiment and tone around your brand, products or leadership before they trend.
Prism helps enterprises identify emerging signals, connect evolving narratives and understand where attention, sentiment and pressure are building around their brand, leadership and products.
Every enterprise already tracks mentions, reviews and social conversation. What's harder is knowing which of those mentions are becoming something more — a narrative that spreads, hardens and starts shaping how customers, investors and employees see the brand.
The difficult part is separating an isolated complaint from a forming narrative, and organic criticism from coordinated activity designed to look organic.
Prism continuously analyses the information environment around your brand to surface changes, relationships and trajectories that deserve attention.
Identify meaningful changes in mention volume, sentiment and tone around your brand, products or leadership before they trend.
Connect related mentions and recurring interpretations to understand the narrative forming around a product, decision or public moment.
Understand whether a narrative is accelerating, spreading, persisting or increasingly concentrating attention around your brand.
Map the accounts and entities connected to a narrative on Twitter/X, and surface clustering or amplification patterns that may indicate coordinated rather than organic activity.
Prism can support teams responsible for brand reputation, communications and issue response as conversations evolve.
Track how conversations around your brand, products and leadership are developing across a fragmented information environment.
Identify when a customer complaint, product issue or public statement risks becoming a sustained narrative, giving communications teams earlier lead time.
Distinguish organic criticism from coordinated or inauthentic activity targeting your brand, and understand who is amplifying it.
Understand how competitor narratives, launches and public moments are shaping the conversation in your category.
Prism natively analyses Hindi, English, Punjabi, Bengali, Gujarati, Marathi, Kannada, Tamil, Telugu, Malayalam, Tulu and Urdu — without machine translation at any stage.
Brand conversation in India rarely happens in one language. Prism brings mentions from different linguistic environments into a common analytical view, so a regional-language narrative doesn't stay invisible until it's already national.
Prism's signal-and-narrative detection has been tested in a live public-information crisis, where sustained narrative pressure was visible in the data roughly 24 hours before a corrective measure followed — well ahead of mainstream coverage. The same capability that gave that lead time is what would flag a brand narrative before it escalates.
Explore the Delhi case study →Explore how Prism can help your team understand an evolving brand and reputation environment.
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