THE GEO Guide for B2B CMOs: How to Get Found, Cited, Trusted, and Chosen in AI Search
A practical working guide for B2B CMOs who want to build visibility and trust in AI-generated answers.
.png)
.png)
Why Big Company CMOs Need AI Skunk Works Now
A practical case for turning corporate AI governance into marketing experimentation with business impact.
AI VP Of Marketing? Why Human Leaders Still Matter
A practical take on what AI agents can own and why marketing leadership still requires human judgment.
Why AI Strategy Is The Wrong Question For CMOs
Executives keep asking for an AI strategy, but CMOs should be careful. AI is not the strategy. It is an accelerant. The better question is which business outcomes matter most and where AI can improve acquisition costs, retention, productivity, customer experience, operating leverage, or speed without turning activity into theater.
Should AI Agents Belong On The Marketing Org Chart?
As AI agents start doing real marketing work, CMOs need to decide where they belong in the operating model. The answer may not be putting bots on the org chart, but leaders do need to make AI-driven work, accountability, governance, and human judgment visible before the invisible work becomes unmanageable.
AI-Assisted Content Is Not Automatically Slop
AI-assisted content is not automatically bad content. The better CMO question is whether the content shows judgment, clarity, specificity, usefulness, and accountability. In a GEO world, marketers should stop treating AI involvement as a scarlet letter and start asking whether the finished piece is worth reading, citing, and defending.
AI Marketing Strategy for B2B CMOs: Why Learning Velocity Beats Content Volume
AI has made content cheaper, faster, and easier to produce, but that does not mean marketing has become easier to lead. For B2B CMOs, the real opportunity is shifting from activity volume to learning velocity: using AI to improve decisions, tighten feedback loops, and turn sharper insight into measurable growth.