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
- Chapter 1: The AI Marketing Landscape
- Chapter 2: The Vocabulary You Actually Need
- Chapter 3: Prompt Engineering — The RGCO Framework
- Chapter 4: The Model Picker — ChatGPT, Claude, Gemini, Copilot
Part II — Strategy
- Chapter 5: The 90-Day Rollout
- Chapter 6: The 5 Failure Modes and How to Recover
- Chapter 7: Ethics — The Definitive Guide
- Chapter 8: ROI — The Three-Layer Metric Stack
- Chapter 9: Scaling — The Five Pillars
Part III — Toolkit by Function
- Chapter 10: A Day in the Life of an AI-Powered Marketer
- Chapter 11: The 8-Tool Stack
- Chapter 12: AI for SEO
- Chapter 13: AI for SEM
- Chapter 14: AI for Social Media
- Chapter 15: Content and Copywriting
- Chapter 16: UX and UI Research with AI
Part IV — Generative AI in Practice
- Chapter 17: Text-to-Image
- Chapter 18: Video Generation
- Chapter 19: Email & Ad Personalization
- Chapter 20: Chatbots
- Chapter 21: CRM Chat
- Chapter 22: E-commerce Workflow
Part V — Executive Playbook
- Chapter 23: Business Implications by Industry
- Chapter 24: AI Readiness — Assessment, Vendors, Team
- Chapter 25: The Future and Your Playbook
Part VI — Specialized Playbooks
- Chapter 26: AI Agents & Autonomous Workflows
- Chapter 27: Privacy, Compliance & the EU AI Act
- Chapter 28: First-Party Data as a Competitive Moat
- Chapter 29: Customer Segmentation & Predictive Analytics
- Chapter 30: Voice AI & Conversational Marketing
- Chapter 31: Account-Based Marketing with AI
- Chapter 32: Influencer & Creator Marketing with AI
- Chapter 33: Customer Retention & Churn Prediction
- Chapter 34: Multilingual & Global Marketing
- Chapter 35: Building an AI-Native Team Culture
Part VII — Advanced Applications & Emerging Frontiers
- Chapter 36: Marketing Mix Modeling in the AI Era
- Chapter 37: Synthetic Data & Synthetic Customer Research
- Chapter 38: AI in Brand Management & Reputation Monitoring
- Chapter 39: Conversion Rate Optimization with AI
- Chapter 40: Marketing Operations & RevOps with AI
- Chapter 41: Event & Experiential Marketing with AI
- Chapter 42: Podcast & Audio Content Marketing
- Chapter 43: AI for Nonprofit & Purpose-Driven Marketing
- Chapter 44: AI in B2B Lead Generation & Nurturing
- Chapter 45: Preparing for What’s Next — AGI, AR/VR, Neural Interfaces
Appendices
- Appendix A — The Prompt Library (50+ ready-to-use prompts)
- Appendix B — Tool Index A–Z
- Appendix C — Cross-Reference by Job to Be Done
- Appendix D — Glossary
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.
Related Series
- Answer Engine Optimization 2E — 29 chapters on AEO, the playbook used in this series.
- Blogger Guideline 2E — 16 chapters on building a profitable blog in the AI era.
- 500 Ways AI Marketing 2026 — 25 parts of AI-era marketing plays.
- The Entrepreneur Guideline 2E — 22 chapters on thriving as an entrepreneur in the AI era.
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