AI in GTMPillar 3: Brand & Demand (B&D)
2026-07-16
03:21
Stop Laughing at Gartner. You're Next.
You Don't Have an AI Problem. You Have a Moat Problem.

Co-Founder, GTM Partners & Author of MOVE
Streaming directly from GTM Partners Video Hub
About This Video
Topic
AI Disruption and Defensible B2B Moats
Audience
CEOs, CROs, CMOs & GTM leaders
Frameworks Covered
Executive Takeaways
- Legacy information moats—like research reports and vendor comparisons—are being dismantled by AI agents capable of synthesizing vendor documents in seconds.
- B2B companies cannot rely solely on content, information, or basic software features; they must build moats around proprietary operating IP, empirical customer benchmarks, and trusted execution.
- A resilient AI strategy involves publishing research openly to become the cited authority in AI answer engines while capturing value through hands-on facilitation and implementation.
Key Questions Answered in This Video
Why is the legacy information moat broken for research and content businesses?
AI agents can now ingest hundreds of vendor documents and produce tailored comparisons in seconds, making pure information and static reports easily replicable.
How should B2B companies adapt their go-to-market strategy for AI answer engines?
Publish core frameworks openly so AI engines like ChatGPT and Perplexity cite you as the definitive authority, and monetize through proprietary operating IP, organizational redesign, and partner-led execution.
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