
Top AI Questions on Revenue Leaders’ Minds (B2B) – Past 6-12 Months
Summary Below is a rank-ordered overview of the most common questions CMOs, CEOs, and CROs in B2B organizations have been asking about AI in go-to-market
The AI Marketing Readiness Score assesses an organization’s maturity in adopting and leveraging AI within marketing strategies. The score ranges from 41 to 205, aligned with the four levels of the AI Maturity Model: Exploration, Operationalizing, Scaling, and Leadership.
Organizations in the Exploration stage are just beginning to understand AI’s potential. They may have experimented with basic tools but lack a clear strategy for AI in marketing.
At the Operationalizing stage, organizations have started integrating AI into marketing processes. AI tools may support specific campaigns, but there is no standardized, enterprise-wide approach.
Organizations in the Scaling stage have embedded AI into marketing strategies across departments. AI is a key driver of decision-making, operational efficiency, and customer experience.
Organizations at the Leadership level are AI-driven marketing pioneers. AI is central to marketing strategy, driving innovation, personalization at scale, and competitive advantage.
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Summary Below is a rank-ordered overview of the most common questions CMOs, CEOs, and CROs in B2B organizations have been asking about AI in go-to-market
If AI isn’t driving revenue, it’s just taking up space. Most marketing leaders are stuck in the gap between having AI tools and actually using
Today’s marketing tech stack is far more interconnected and dynamic than it was a decade ago. The key to success lies in leveraging the right