AI Reputation Intelligence System
ReputeIQ™
A proprietary multi-layer AI architecture that goes significantly beyond monitoring. ReputeIQ™ continuously aggregates reputational signals, applies consequence modelling to determine where developing narratives will land if left unaddressed, generates ranked mitigation pathways calibrated to specific stakeholder segments, and tracks the downstream effect of every communications intervention — before it becomes visible, not after.
Most reputation tools answer the question: what is being said? ReputeIQ™ answers three harder questions simultaneously: what does it mean, where is it going, and what should we do about it right now?
The system's proprietary Narrative Consequence Engine models the trajectory of emerging reputational signals across a multi-dimensional stakeholder graph — mapping not just sentiment, but the relational dynamics between stakeholder groups that determine whether a developing narrative will remain contained or propagate. When a trajectory crosses a risk threshold, the Mitigation Pathway Generator produces a ranked set of communications interventions, each scored against projected effectiveness for the specific audience cluster driving the signal. The Advisory Desk evaluates these pathways against the full strategic context of the client before any recommendation is delivered.
- Continuous multi-source signal aggregation across global media and digital platforms
- Narrative Consequence Engine — trajectory modelling across the stakeholder graph
- Predictive risk threshold alerting — issue surface prediction
- Mitigation Pathway Generator — ranked interventions by projected stakeholder effectiveness
- Post-intervention effect tracking — closed-loop consequence measurement
- Advisory Desk human review — every output contextualised before client delivery
- Competitive reputation benchmarking and share-of-narrative analytics