Chapter Overview

What This Guide Covers

Each chapter is built to help you assess, implement, and optimize AI in a way that delivers measurable impact. Below, you’ll find an overview of the topics covered, with links to each section.

Introduction

Understanding the AI Marketing Gap

Why AI adoption in marketing isn’t delivering the results many expect, and what’s missing from the current approach.

The AI-Powered Marketing Engine

A blueprint for how AI should fit into your marketing function—covering automation, data insights, and customer engagement.

AI That Drives Real Marketing Results

Not all AI applications move the needle. This section highlights high-impact use cases and where AI makes the biggest difference.

The ROI of AI: Building a Case for Executive Buy-In

AI investments require proof. Learn how to make the business case for AI, align with leadership expectations, and measure success.

Budgeting for AI

How to structure your AI budget—what to prioritize, what to avoid, and how to allocate resources effectively.

AI Readiness: What It Takes to Succeed

Before AI can drive results, your marketing function needs to be prepared. This chapter outlines the key readiness factors.

AI Doesn’t Fix Slow Marketing

AI amplifies what’s already working. If your team is slow and inefficient, AI won’t solve that—it will highlight the gaps. Here’s how to fix them first.

Martech Assessment: Is Your Stack AI-Ready?

Not all martech is AI-friendly. Learn how to audit your current stack, identify gaps, and determine what to keep, optimize, or replace.

People, Process, and Data Readiness

AI isn’t just about tools—it’s about the people using them, the processes in place, and the data that fuels them. This section breaks down what’s needed to make AI work.

AI Execution Readiness

What separates AI talk from AI action? This chapter details the operational shifts and team alignment required for successful AI execution.

Evaluating & Prioritizing AI Opportunities

Not every AI initiative is worth your time. Learn how to assess, score, and prioritize AI projects based on impact and feasibility.

Building an AI Roadmap

A practical framework for mapping AI initiatives over the next quarter, year, or beyond—aligned with business goals.

Preparing for Execution

Strategy is useless without execution. This section covers common implementation pitfalls and how to overcome them.

Optimizing Your AI Investments

How to track, measure, and continuously improve AI initiatives to maximize impact over time.

The Future of AI in Marketing

What’s next? A forward-looking perspective on emerging AI trends, risks, and opportunities for marketing leaders.

Bonus Content

Common Marketing Challenges & AI Solutions

A complete reference guide on how AI can help solve frequent marketing pain points, from demand generation to retention, along with a recommended list of solutions.

Optimizing Growth Engines

How AI can enhance lead generation, conversion, and customer engagement—without adding complexity.

Tools & Frameworks

This guide isn’t just theory—it comes with plug-and-play tools to help you assess, implement, and optimize AI across your marketing function.

AI Readiness Scorecard – Evaluate how prepared your team is for AI.
What’s Breaking AI in Your Martech: 5-Minute Diagnostic – Identify tech stack issues that are slowing down AI adoption.
Keep, Optimize, Replace Framework – A structured approach to deciding which tools stay and which ones go.
AI Execution Diagnostics – Spot the bottlenecks preventing AI from delivering results.
AI Initiative Scorecard – Prioritize AI projects based on business impact.
Prioritization Framework – A structured method for ranking AI opportunities.
AI Roadmap Template – Build a clear, actionable AI strategy.
ROI Calculator – Measure the true impact of AI investments.
Business Case Template – Present AI initiatives in a way that secures executive buy-in.
KPI Industry Benchmarks – Compare performance and set realistic AI-driven goals.