
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.
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How B2B Brands Grow: What CMOs Can Take From Byron Sharp
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Byron Sharp’s evidence-based framework connects B2B growth with mental availability, physical availability, distinctive brand assets, broad reach, and sustained investment.

Questions Over Answers: How Curiosity Helped a CMO Land the Role
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One Huddler used deep research, thoughtful questions, recruiter relationships, and a hypothesis-based plan to land a CMO role in a new industry.

The AI-Driven Leader: What CMOs Need to Know About Leading With AI
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Geoff Woods explains how AI can support strategic thinking when leaders focus on consequential problems, provide context, invite questions, and retain responsibility for judgment.

Fractional CMO or Consultant? How to Choose—and Succeed in—the Right Model
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Three experienced fractional CMOs explain how fractional leadership differs from consulting and what makes a limited-time executive engagement work.

You Can’t Game Gartner: How CMOs Turn Analyst Trust Into Market Traction
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Analyst relations earns market traction through relevance, useful briefings, prepared executives, clear differentiation, and consistent trust-building.

ABM as a Motion: How CMOs Build Focused Growth
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ABM works best as a shared growth motion built on focused accounts, clean data, seller-friendly workflows, and shared measurement.

AI VP Of Marketing? Why Human Leaders Still Matter
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A practical take on what AI agents can own and why marketing leadership still requires human judgment.

Talking Marketing With the CEO and CFO: How CMOs Earn Business Credibility
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Three experienced marketing leaders explain how CMOs connect marketing activity to executive priorities without reducing the function to short-term attribution.

Build a Marketing Team That Performs—and Stays: Lessons in Growth and Grit
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Three B2B CMOs share how complementary talent, clear priorities, intelligent failure, coaching, and shared AI learning support sustainable team performance.

