B2B CMOs Must Build Content for AI Agents and Human Buyers

B2B CMOs are adapting messaging and content to serve both human buyers and AI agents that now filter vendor research and recommendations, according to Demand Gen Report. Tom Kaneshige, Chief Content Officer at the CMO Council, states that content must be more structured, evidence-based and context-rich because vague value propositions will not pass AI gatekeepers.

Messaging Built for Two Audiences

Kaneshige said B2B messaging now targets two audiences since the buying team includes an AI agent that filters and recommends. Content must deliver clarity for machines and trust for humans. Thought leadership fluff will not survive this filter.

Workflow Redesign Requirements

High-performing organizations are redesigning workflows around AI-human collaboration. Nearly 70% of these organizations report they are prepared for this change, compared with 7% of less integrated organizations, according to the CMO Council and WongDoody report cited in the interview. AI is assigned volume, pattern detection, optimization and repetitive execution. Humans retain responsibility for strategy, relevance, emotional resonance, ethics and final judgment.

Non-Negotiable Human Oversight Areas

Human oversight must be embedded in workflows rather than applied as a final approval step. CMOs are directed to retain control of ethical data use, privacy, bias checks, brand voice and cultural context. AI can optimize engagement metrics but does not understand the consequences of eroding trust or recognize when personalization becomes invasive, according to Demand Gen Report.

Barriers to AI-Human Collaboration

The primary barriers are fear, uncertainty and unclear roles rather than data readiness alone. Senior leaders address these concerns by demonstrating value through internal champions, defined responsibilities and continuous training that affirms the continued importance of human judgment.