Marketing Rebuilt: a B2B framework for AI agents and pipeline
Mark Tack has spent over 20 years running B2B marketing organizations, including six CMO roles. His new book, Marketing Rebuilt: How People and Agents Crush Pipeline Targets with the AI Marketing Engine, is out now on Amazon. The core argument is not about using AI to produce more content faster. It is about restructuring how a marketing organization is designed so that agents handle execution and people handle judgment.
The Central Framework
The book is built around the AI Marketing Engine, a framework that connects people, AI agents, and ten marketing capabilities to one shared goal: creating and moving pipeline. The ten capabilities are AI Agents, Scoreboard, Positioning, Brand, Pipeline Generation, Customer Marketing, Revenue Acceleration, Content Marketing, Product Marketing, and Engine Operations.
Two of those get extra attention. Revenue Acceleration focuses on helping sales advance deals already in the pipeline, not just at the top of the funnel. Customer Marketing focuses on growing revenue with existing customers. A shared Scoreboard ties it together for the CEO, CRO, and CMO, starting with qualified pipeline created, opportunity progression, expansion pipeline, and signal response speed.
The Operating Model in One Line
Tack summarizes the model as: signals initiate, agents execute, humans govern. Signals are changes that should trigger work: a shift in buyer behavior, account activity, market conditions, or business performance. Agents watch for those signals, gather context, and carry out defined tasks while the window is still relevant. People set direction, make the judgment calls, own the customer relationships, and stay accountable for outcomes.
The book includes a concrete example. An enterprise deal starts losing momentum. A key stakeholder goes quiet while someone new on the account pulls security documentation. An agent flags the change, assembles account context, and recommends the right proof point. The account executive decides what happens next. Marketing gets to help while the opportunity is still open, not after the pipeline review.
100 Agent Use Cases
The book catalogs 100 agent-powered use cases spanning the full engine. Each one covers the business problem, the signal that triggers action, what an agent handles, and where human accountability stays, with before-and-after examples showing how the work changes in practice. Tack is explicit that you do not need to build all 100. The intent is a library of starting points, not a vendor shopping list.
Three Questions to Start Monday
- Which signals matter most to our business, and how quickly do we respond when they show up?
- What work could agents handle reliably, and where do we still need human judgment?
- How will we know the change is working? Pipeline created, deal progression, and customer expansion, not just hours saved.
What Is Included
The book ships with the AI Marketing Engine framework, the shared Scoreboard, the 100 use cases, and a one-page Build Map for deciding what to fix first, what can wait, and who owns the work. A free Readiness Assessment is available at MarketingRebuilt.com. The book is available now on Amazon.
I’m founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs.
With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I’m dedicated to sharing genuine, useful product insights and tips.
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