HockeyStack Guide

AI For GTM

Discover how AI can revolutionize your go-to-market approach by moving beyond superficial implementations. This guide offers a strategic framework to harness AI's full potential, ensuring it becomes a core component of your business model and drives sustainable growth.

I. Preamble
II. Core Principles of AI-Driven GTM
Principle 1: Understand Before You Accelerate
Principle 2: Think in Capabilities, Not Tools
Principle 3: Automate Where Talent Is Wasted
III. AI for GTM Maturity Model: From Beginner to Expert
Stage 1: Denial
Stage 2: Explorer
Stage 3: Operator
Stage 4: Architect
Stage 5: Trailblazer
IV. Internal Adoption Path: From Skepticism to AI-Native
Play 1: Start with RevOps + SDRs
Play 2: Run a 30-Day Sprint
Play 3: Partner with a Skeptical Executive
Play 4: Build an Internal Prompt Library
Play 5: Build an “AI Hit List”
Tips for Success
V. Thinking About ROI (The Right Way)
1. Pipeline Lift: Measure What AI Enables, Not Just What It Replaces
2. Sales Velocity: Shrink the Gap Between Signal and Action
3. Output Per Head: Scale Without Scaling your Team
4. Strategic Surface Area: Measure the Moves You Couldn’t Make Before
VI. How to Respond to a Board Mandate: “Use AI”
VII. Where You Go From Here

Ready to see HockeyStack in action?

HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.

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Ready to See HockeyStack in Action?

HockeyStack turns all of your online and offline GTM data into visual buyer journeys, AI-powered recommendations, and the industry’s best-performing multi-touch attribution models you can defend in any boardroom.

Book a demo
Book a demo