The Agentic AI Marketing Leader PlaybookStop buying AI tools. Build the system.
The Agentic AI Marketing Leader Playbook: Designing the AI-Native Marketing Operating System. Most marketing teams didn’t get an AI strategy. They got a scatter of individual habits. This book is the operating system that replaces them, and the mindset to run it.
Audiobook narrated by an AI voice (ElevenLabs), DRM-free MP3s.
Foreword by Anand Akela, CMO, Acalvio Technologies · ★★★★★ 5.0 on Amazon (8 ratings, October 2026)
What leaders and readers say.
From the book’s front matter and Amazon, word for word. ★★★★★ 5.0 on Amazon. Read them on Amazon
Most books tell you what AI can do, but Gaurav actually shows you how to run a marketing organization when AI does the heavy lifting. By shifting the focus from buying tools to redesigning and owning our workflows, The Agentic AI Marketing Leader Playbook provides the definitive playbook for turning scattered, person-dependent tasks into a predictable, compounding system. This is the blueprint for any marketing leader to build structured systems that scale on continuous learning rather than sheer headcount.
Rao AdavikolanuCMO, RocketlaneHaving built two companies, I’ve been closely watching how AI is being applied for growing companies in the industry. Most AI discussions in marketing stop at productivity gains. This one goes deeper, into who owns the workflow, what context the system needs, and where human judgment has to stay. The idea of treating marketing skills like products, with owners and versions, is exactly the kind of detail that’s usually missing. Gaurav writes as an operator, not a commentator, and it shows.
Ankit SomaniCEO, Conifer.ioI think the strongest idea here is the shift from ‘how do we use more AI?’ to ‘how do we redesign the way work gets done so the organization owns the capability, not the individual or the tool?’ That feels particularly important right now as companies risk creating a Wild West of disconnected agents and automations that are faster, but not necessarily better or durable. I also really like that Gaurav has grounded this in workflows you’ve actually operated rather than treating AI transformation as a technology exercise!
Matthew BragstadVP, AI GTM, UKGGaurav brings an operator’s eye to AI in marketing. I particularly liked the attention to who owns the work, where human judgment matters, and how to tell whether the effort is paying off. His experience comes through in the practical examples and the candid accounts of what went wrong along the way. The emphasis on building workflows that the whole team can use gives marketing leaders something concrete to work with. A useful, grounded guide for anyone making AI part of how their marketing team operates.
Corey McCarthyCMO, DevicieWhat makes The Agentic AI Marketing Leader Playbook different is that it doesn’t treat AI as another collection of marketing tools. It challenges leaders to rethink how marketing work gets done, turning fragmented, person-dependent processes into systems the organization can own, measure, and continuously improve. That shift matters because customers want to experience one company and one story. Gaurav shows how agentic AI can connect those pieces, giving marketing leaders more leverage and speed without sacrificing the judgment, context, and human understanding.
Avinash GujjeCEO & Co-founder, zuuz.aiGaurav writes the way good operators talk: plainly, from the field, with the failures left in.
Anand AkelaCMO, Acalvio TechnologiesThe best AI marketing book I read. Must have for founders and tech leaders.
I appreciated the methodical approach of this book, and it sparked three ideas I keep coming back to. First, AI often reveals how little of a workflow was actually designed; next, when AI fails, the model may not be the real problem; and three, the real maturity test is whether the capability survives the person who built it. The value for me came through in the operating questions Gaurav provokes: what should be redesigned with AI, what judgment stays human, and what needs to become a reusable organization-wide capability. It’s a great way to stay forward-thinking.
The six-layer operating system is the most valuable concept. Instead of giving leaders another list of AI tools, it encourages them to think about how work itself should be redesigned. I really liked reading this book and encourage all leaders to read it , Great thoughts and insights given by Gaurav Verma
Great book, easy to understand concepts and ideas. Thanks for writing this book, Gaurav.
Lots of very useful and salient information for the AI era of GTM
Is your brand in the answer?
A growing share of buyer research now ends inside an AI-generated answer. The book’s search-visibility chapter shows how to track whether ChatGPT, Perplexity, Gemini and Copilot cite you, and how to fix the pages they skip.
- Weekly citation tracking on your flagship buyer questions
- A quarterly AEO/GEO audit: schema, direct answers, question-shaped headings, bylines, dates
- Grounding-query logs that show what the engines actually search for
- Who owns AI citation, and how it rolls into search reporting
Write the three questions a serious buyer would ask before ever contacting you, and run all three through ChatGPT, Perplexity, and Copilot. Note which companies and sources repeat across the nine answers. The competitors that keep appearing — and the citations you’re missing — are your answer-engine backlog.
Not a prompt list. An operating system.
Written for CMOs, marketing ops leaders, and anyone responsible for making AI part of how a real team works, not just what it buys.
layer operating system
Knowledge, Skill, Tool, Memory, Governance, Learning.
buildable workflows
Each with its trigger, inputs, AI action, human checkpoint and success metric.
stage maturity model
Find out honestly where your team stands, function by function.
named frameworks
From the Workflow Design Canvas to the AI Operating Rhythm.
Tools are one layer of six.
Most teams buy the Tool layer and wonder why nothing compounds. The other five are where the leverage lives.
Knowledge
Shared intelligence: customers, products, messaging, brand rules and past decisions.
Skill
Reusable, documented capabilities anyone on the team can run.
Tool
The CRM, CMS, analytics and ad systems the AI works inside.
Memory
Where hard lessons live, so a mistake fixed once stays fixed.
Governance
Who can access, change and approve what before it goes live.
Learning
How workflows improve on a cadence instead of freezing at launch.
Four stages. Be honest.
Most teams sit between Stage 1 and Stage 2. Most leaders place themselves one stage higher than they really are.
AI Experimentation
Individual habits, no system.
People use AI on their own initiative, with no shared approach, no ownership and no measurement of whether any of it works.
AI-Assisted Marketing
AI drafts. Humans run everything else.
AI helps with existing work (drafts, research, reporting), but humans still run every process end to end. The tools sit on top of the old workflow instead of reshaping it.
AI Workflow Operations
Owned workflows, measured against a baseline.
Repeatable workflows exist as designed systems, each with a named owner, measured against a real baseline. Things run on a schedule, not when someone remembers.
AI-Native Marketing System
A learning system with humans on judgment.
Workflows share knowledge, agents act across systems within governed boundaries, and humans handle judgment calls and genuine exceptions, not routine execution.
48 workflows. Buildable on Monday.
Each one with its trigger, inputs, AI action, human checkpoint and success metric, plus a matching prompt in the free Prompt Library.
Market intelligence
Keyword discovery, competitive gaps, ICP analysis
Search visibility
AEO/GEO audits, technical SEO, cannibalization
Content
Knowledge base, quality scoring, end-to-end blog production
Distribution & authority
LinkedIn, YouTube, digital PR, podcast guest hunting
CRM & sales
RFP hunting, lead scoring, ABM, stale-deal detection
Paid growth
Campaign setup, ad audits, negative keywords
The AI-Native Marketing Operating System
- Your Marketing Team Does Not Need More AI Tools
- Stop Automating Marketing. Redesign It.
- The Anatomy of a Working Workflow
- Nobody Asked Who’s Allowed
- The Economics Nobody Talks About
- The Team Won’t Break, But It Will Resist
- The System Has a Pulse
The AI Marketing Workflow Library
- Understanding the Market Before Creating Demand
- Becoming Findable Where Buyers Search
- Creating Content That Compounds
- Turning Content Into Market Presence
- Turning Revenue Signals Into Action
- Making Ad Campaigns Learn Continuously
Scaling the AI-Native Marketing Organization
- From Workflows to an Operating System
- The Self-Directed Transformation Program
- You Are the First Workflow
- The Future of Marketing Leadership with AI
“The workflow, not the tool, is the unit of transformation.”
“A small team that owns three workflows will outrun a larger one that owns none.”
“Gaurav writes the way good operators talk: plainly, from the field, with the failures left in.”
Lean brand building, from the field.
How a small team builds a brand that punches well above its budget. A working record of the lean growth experiments I ran, one at a time: the ones that held up and the ones that didn’t.
Nobody has heard of you. Not buyers, not analysts, not AI answer engines.
Reviews, proof and a story buyers can repeat.
Found where buyers search and cited where AI answers.
The brand pulls demand on its own and compounds.
- The Operator Mindset
- Team, Culture & Process Discipline
- The Brand Engine
- AI as the Force Multiplier
- Outcomes & Compounding
Want early chapters or to be a reviewer? Tell me, or subscribe below and you’ll hear first.
Get the Prompt Library.
A ready-to-use prompt for the workflows in the book. Subscribe to The AI Advantage and download it right away.
Want it built, not just read?
See the Agentic Marketing BuildAgentic AI Marketing Playbook: reader questions
What is The Agentic AI Marketing Leader Playbook about?
The Agentic AI Marketing Leader Playbook shows marketing leaders how to replace scattered AI habits with an operating system. I wrote it from workflows I built and run myself. It covers a six-layer framework, 48 buildable workflows, a four-stage maturity model and eight named frameworks. The subtitle says it plainly: Designing the AI-Native Marketing Operating System.
Who should read this AI marketing book?
This AI marketing book is written for CMOs, marketing ops leaders and anyone responsible for making AI part of how a real team works. It is not a prompt list or a tool roundup. It is for leaders who want owned workflows, human checkpoints and measured results, not individual experiments nobody can repeat.
What are the six layers of the AI-native marketing operating system?
The six layers are Knowledge, Skill, Tool, Memory, Governance and Learning. Knowledge holds customers, products, messaging, brand rules and past decisions, while Skills are documented capabilities anyone on the team can run. Tools are the CRM, CMS, analytics and ad systems, and Memory makes sure a mistake fixed once stays fixed. Governance decides who approves what, and Learning improves workflows on a cadence.
How many agentic AI marketing workflows are in the playbook?
The playbook contains 48 agentic AI marketing workflows, grouped into six areas. There are 5 for market intelligence, 9 for search visibility, 7 for content and 10 for distribution and authority. Another 13 cover CRM and sales, and 4 cover paid growth. Each one lists its trigger, inputs, AI action, human checkpoint and success metric.
How much does the AI marketing playbook cost?
The Agentic AI Marketing Leader Playbook costs $6.99 on Kindle, $14.99 in paperback and $24.99 in hardcover on Amazon. The Kindle edition runs 383 pages, and the print editions run 280 pages. It was published on September 23, 2026, with a foreword by Anand Akela, CMO of Acalvio Technologies.
Is there a free prompt library with the AI marketing playbook?
Yes. The Prompt Library gives you a ready-to-use prompt for the workflows in the book, and it is free. You get it by subscribing to The AI Advantage, my biweekly newsletter, and you can download it right away. Prompts cover keyword discovery, cannibalization checks, content refresh, LinkedIn distribution, podcast guest hunting and RFP hunting.
Is The Agentic AI Marketing Leader Playbook worth reading?
Readers think so: it holds 5.0 stars on Amazon from 8 ratings as of October 2026. Rao Adavikolanu, CMO of Rocketlane, called it the definitive playbook for turning person-dependent tasks into a compounding system. Ankit Somani, CEO of Conifer.io, wrote that the author writes “as an operator, not a commentator.” The reviews are on this page, word for word.