As healthcare professionals increasingly turn to AI tools to seek information, traditional “share of voice” metrics are no longer enough. Today, AI platforms are often answering HCP questions before a brand ever has the opportunity to engage directly, shifting the industry from a push-based communication model to a new “pull” model driven by independent discovery and personalized answers.To compete in this evolving landscape, commercial teams must rethink how they approach targeting, media, content, and customer engagement. Success will depend on improving visibility across emerging AI-powered channels while equipping field teams with deeper intelligence and real-time insights that enable more relevant, contextual, and personalized interactions with customers.Key Discussion Points:Understanding the shift from “share of voice” to “share of answer”Building optichannel engagement strategies for AI-driven customer journeysIncreasing brand visibility across emerging AI-powered discovery channelsLeveraging real-time insights and contextual intelligence to personalize engagementEnabling field teams to deliver more relevant, data-driven customer interactionsRethinking measurement and engagement metrics in the AI era
Driving Share of Answer Through Optichannel Engagement in the AI Era
As healthcare professionals increasingly turn to AI tools to seek information, traditional “share of voice” metrics are no longer enough. Today, AI platforms are often answering HCP questions before a brand ever has the opportunity to engage directly, shifting the industry from a push-based communication model to a new “pull” model driven by independent discovery and personalized answers. | As healthcare professionals increasingly turn to AI tools to seek information, traditional “share of voice” metrics are no longer enough.













