AI-First GTM & Marketing
After 15+ years running Marketing and GTM functions, I'm now rebuilding many of those same functions for an AI-Native operating model.
The work here focuses on how AI changes the workflow, decision system, governance, and economics of a function. This is the next step beyond simply automating existing tasks.
For examples of how I've led these functions in-market across companies and stages, see the Marketing & GTM Portfolio.
B2C Growth Rebuild - an established brand rebuilt around an AI-Native operating model. 7x conversion and 43% lower CPL on flat paid spend.
Operating capability assessed as "Transformative" - the highest level of a AI fluency rubric published by industry leader Zapier.
The Operating Model
What changes when AI is designed into the system rather than added to it.
- → Tool: GTM Decision Engine - A portable decision system that makes criteria, evidence, tradeoffs, and human accountability inspectable.
- Experience: What is AI-Native GTM - and How Can Any Company Apply It? - The distinction most companies miss: making traditional GTM faster is not the same as making it adaptive.
- Experience: How AI Impacts GTM Time Allocation - Where recovered capacity goes, and why execution became parallel rather than merely faster.
- Experience: How does AI-first GTM change between B2B and B2C? - The operating model changes less than expected. Buyer behavior changes more.
- 4 GTM Frameworks: All AI Marketing is Not One Motion - Four distinct motions collapsed into one phrase, and why the distinction changes what you build.
- Framework: The best use of AI in GTM is...the Challenge. - Using AI to pressure-test the plan, the assumption, and the priority before committing to build.
- Perspective: Implementing "Positionless" Marketing - What changes when AI can help break silos across marketing functions, and where that breaks.
Customer Marketing
Turning customer evidence into governed, reusable commercial proof across GTM.
- → Tool: Customer Proof AI Layer - the governed proof layer, open source.
- Experience: AI-Native Customer Marketing Means Redesigning How It Operates with AI - Deconstruct the jobs to be done, decide where AI acts and where humans decide, then measure whether the function's economics actually changed.
- Building: AI-Native Customer Marketing - Rebuilding with AI creates a moat of verified customer evidence that is searchable, approved, measurable, and reusable. Human judgment still makes the final decision over what gets claimed.
Marketing & Narrative Operations
Message consistency, automation, and the systems that keep both governed as volume rises. Repeatable organizational judgment becomes infrastructure; human judgment is reserved for what the system cannot know.
- → Tool: Messaging Operating System - Messaging system that generates omnichannel assets from a single narrative source for consistency and speed.
- → Tool: Customer Response Engine - playbook-driven response where AI drafts and explains, and humans decide escalation.
- Building: AI Automation that Retains Human Judgment - Simplify the underlying system before automating it, so automation doesn't scale the clutter.
- Building: Human + AI Business Response Engine - Started as a customer reply tool and became a business response workflow spanning sales, marketing, and customer success. The system does the repeatable reasoning first and surfaces only the decisions a human has to make.
Customer & Market Research
A continuous intelligence layer for research that time zones, availability, and budget would otherwise block.
- Building: An AI-Native Research Workflow to Mitigate Typical Constraints - A capacity layer to supplement high-value human interviews.
Search & AI Visibility
Rebuilding the search function for AEO / GEO and optimizing for AI search visibility.
- → AEO & GEO - the repeatable, scalable practice.
- → Tool: AI Visibility Scorecard - the open-source measurement tool.
Events Marketing
Redesigning event planning, production, and activation, and integrating AI to support pressure testing and asset execution.
- Experience: The Event Was Last Minute. The AI-Native Layer Made it Feasible. - One day of lead time. Five decisions made before anything went to print, including killing a printed banner and moving the spend.
FAQ
- What is AI-First GTM & Marketing?
- It is a Human+AI operating system that redefines go-to-market execution across strategy, messaging, and experimentation, pairing professional judgment with AI as an execution partner.
- What does it cover?
- Research, audience segmentation, asset creation, and workflow automation, run as one system rather than isolated tools.
- How is it different from adding AI tools to an existing GTM stack?
- Tools speed up steps. This changes the operating model, so AI runs inside the workflow while strategic coherence stays owned by humans.
- How is this different from the Marketing & GTM Portfolio?
- The portfolio covers how these functions have been run in-market. This page covers how they are being rebuilt for an AI-Native operating model.
- Where can I see this applied?
- In the B2C Growth Rebuild above, and across each function section.