Perspectives on AI governance, reputation risk, and the algorithmic age.
Reputation intelligence is the continuous, data-driven measurement of how an organisation is described across every channel, expressed as one objective score and connected to the tools that change it. Here is how it works, what it replaces, and who uses it.
Contrlr computes its 0 to 100 reputation score from seven pillars: news, social, newsletters, market, employee, customer, and predictive. What each pillar measures, what it detects first, and why all seven are needed.
A reputation score is a single 0 to 100 number expressing how an organisation is currently described, computed continuously from observed signals across seven pillars. Here is what feeds it, how the weighting works, and how to read a movement.
Media monitoring reports coverage after publication. Reputation intelligence adds an objective score before it, prediction ahead of it, response tools around it, and an audit trail behind it. A practical comparison for communications leaders.
Australian directors carry a duty of care and diligence under section 180 of the Corporations Act, and the courts have held that the harm it covers includes reputation. What that means in practice, what the Star judgment settled, and what evidence discharges the duty.
Reputation crises are decided in their first 24 to 72 hours, and most of what determines the outcome can be prepared in advance. How predictive intelligence and AI-agent scenario simulation let a team rehearse the crisis before it exists.
After a reputation crisis, three questions arrive: what did the organisation know, when did it know it, and what did it do. An auditable evidence trail answers all three, and only a contemporaneous record holds up.
Reputation damage used to fade. Generative AI ended that: a crisis from 2018 can surface in a 2026 chatbot answer, presented as current, because AI assistants cite earned media with no expiry and no correction mechanism.