The platform, called AGENTPR™, was developed by AI-powered PR strategist and founder of Cihan Media Group, Dr Celestine Achi, and officially unveiled in Lagos as a tool designed to move public relations practice beyond conventional media monitoring into predictive intelligence.
From media monitoring to “reputation intelligence”
Unlike traditional dashboards that focus on mentions and sentiment scores, AGENTPR™ is positioned as an “agent-driven media intelligence framework” that interprets meaning, intent, and influence behind public conversations.
At the launch, Dr Achi argued that modern communication environments require a deeper analytical layer than simple tracking of news or social media activity.
“Media monitoring tells you what was said. PR intelligence tells you what it means, why it matters, who is driving it, what risk it carries and what decision should follow,” he said.
The system is designed to help organisations identify early warning signals that could indicate reputational damage long before issues reach mainstream visibility.
Designed to detect crises before they break
AGENTPR™ incorporates a suite of analytical tools including sentiment and emotion analysis, narrative tracking, stakeholder mapping, reputation exposure scoring, and crisis signal detection.
According to its creator, the goal is not just to observe public discourse but to interpret its trajectory and implications.
“A crisis can begin as a weak signal long before it becomes a headline. That is why PR intelligence must now move from counting conversations to interpreting consequences,” Achi said.
The platform also generates executive-level briefings intended to support decision-making in real time, particularly for organisations facing fast-moving reputational or operational risks.
Focus on African communication environments
A central argument behind AGENTPR™ is that global media analytics tools often fail to fully capture regional nuances in public sentiment, trust dynamics, and stakeholder influence—particularly across African markets.
Dr Achi said the system is designed to be context- and culture-aware, reflecting the complexity of communication environments where informal networks, local narratives, and institutional trust levels can significantly shape public perception.
Target users across public and private sectors
The platform is being positioned for use across a wide range of institutions, including corporate communications teams, public relations professionals, government agencies, crisis response units, and public affairs departments.
Its broader ambition, according to its developer, is to support what he describes as the “Engineering of Trust”—a framework that links artificial intelligence to reputation management, governance, and institutional credibility.
A growing AI trend in reputation management
AGENTPR™ enters a rapidly evolving global landscape where artificial intelligence is increasingly being used not only for marketing analytics, but also for risk forecasting, crisis prevention, and narrative monitoring.
By combining predictive analytics with reputation scoring and stakeholder mapping, the platform reflects a broader industry shift: treating public perception not as a reactive challenge, but as a measurable, real-time system that can be monitored and influenced before crises emerge.