An Introduction to Marketing & AI 2E: A Beginner’s Guide To Capitalizing On AI In Marketing — a complete chapter-by-chapter series by Tarek Riman. This hub indexes all 45 chapters and 4 appendices. The book is organized in the order that actually matters in practice: foundations, strategy, toolkit, generative AI, executive playbook, specialized playbooks, and emerging frontiers.

What This Series Covers

Forty-five practical chapters covering everything a marketer needs to move from AI curiosity to AI capability — vocabulary, prompts, model selection, 90-day rollouts, ethics, ROI, scaling, function-by-function playbooks, generative tools, executive strategy, and emerging frontiers including AI agents, AR, and brain-computer interfaces.

Complete Chapter Index

Part I — Foundations

  1. Chapter 1: The AI Marketing Landscape
  2. Chapter 2: The Vocabulary You Actually Need
  3. Chapter 3: Prompt Engineering — The RGCO Framework
  4. Chapter 4: The Model Picker — ChatGPT, Claude, Gemini, Copilot

Part II — Strategy

  1. Chapter 5: The 90-Day Rollout
  2. Chapter 6: The 5 Failure Modes and How to Recover
  3. Chapter 7: Ethics — The Definitive Guide
  4. Chapter 8: ROI — The Three-Layer Metric Stack
  5. Chapter 9: Scaling — The Five Pillars

Part III — Toolkit by Function

  1. Chapter 10: A Day in the Life of an AI-Powered Marketer
  2. Chapter 11: The 8-Tool Stack
  3. Chapter 12: AI for SEO
  4. Chapter 13: AI for SEM
  5. Chapter 14: AI for Social Media
  6. Chapter 15: Content and Copywriting
  7. Chapter 16: UX and UI Research with AI

Part IV — Generative AI in Practice

  1. Chapter 17: Text-to-Image
  2. Chapter 18: Video Generation
  3. Chapter 19: Email & Ad Personalization
  4. Chapter 20: Chatbots
  5. Chapter 21: CRM Chat
  6. Chapter 22: E-commerce Workflow

Part V — Executive Playbook

  1. Chapter 23: Business Implications by Industry
  2. Chapter 24: AI Readiness — Assessment, Vendors, Team
  3. Chapter 25: The Future and Your Playbook

Part VI — Specialized Playbooks

  1. Chapter 26: AI Agents & Autonomous Workflows
  2. Chapter 27: Privacy, Compliance & the EU AI Act
  3. Chapter 28: First-Party Data as a Competitive Moat
  4. Chapter 29: Customer Segmentation & Predictive Analytics
  5. Chapter 30: Voice AI & Conversational Marketing
  6. Chapter 31: Account-Based Marketing with AI
  7. Chapter 32: Influencer & Creator Marketing with AI
  8. Chapter 33: Customer Retention & Churn Prediction
  9. Chapter 34: Multilingual & Global Marketing
  10. Chapter 35: Building an AI-Native Team Culture

Part VII — Advanced Applications & Emerging Frontiers

  1. Chapter 36: Marketing Mix Modeling in the AI Era
  2. Chapter 37: Synthetic Data & Synthetic Customer Research
  3. Chapter 38: AI in Brand Management & Reputation Monitoring
  4. Chapter 39: Conversion Rate Optimization with AI
  5. Chapter 40: Marketing Operations & RevOps with AI
  6. Chapter 41: Event & Experiential Marketing with AI
  7. Chapter 42: Podcast & Audio Content Marketing
  8. Chapter 43: AI for Nonprofit & Purpose-Driven Marketing
  9. Chapter 44: AI in B2B Lead Generation & Nurturing
  10. Chapter 45: Preparing for What’s Next — AGI, AR/VR, Neural Interfaces

Appendices

How to Read This Series

  • If you’re new to AI: Read Part I, then Part II in order — vocabulary, then strategy, before tools.
  • If you already have a strategy: Use Parts III–IV as a reference. Jump to the chapter matching the job in front of you.
  • If you’re leading the change: Start with Part V (Executive Playbook), then work backward.
  • For specialized contexts: Parts VI and VII cover ABM, retention, voice, multilingual, MMM, CRO, podcast, nonprofit, B2B demand, frontiers.

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