AI for Marketing Professionals

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AI for Marketing Professionals

Author: Victor Langley

Description: Feeling overwhelmed by the constant stream of AI news and unsure how to apply it to your marketing work? You're not alone. "AI for Marketing Professionals" cuts through the hype to deliver a clear, practical path for using AI tools in your daily marketing tasks. Written by Victor Langley, this hands-on guide teaches you the essential skill of prompt writing and shows you exactly how to leverage seven key AI tools—ChatGPT, Gemini, Canva, Claude, Midjourney, Notion AI, and Perplexity—to create better content, run smarter campaigns, and connect with audiences without losing your brand's human touch. Here's what you'll learn inside: • Understanding AI's impact on marketing and the essential toolkit of seven AI tools. • Mastering prompt writing for marketing tasks including ad copy, SEO, audience personas, and campaign ideas. • Applying AI to content creation, branding, and social media to accelerate creative work without losing brand voice. • Using AI for audience research, advertising campaigns, and email marketing to make data-driven decisions. • Avoiding common mistakes, maintaining authenticity, and building integrated human-AI workflows. This book is designed for marketing professionals: content marketers, social media managers, advertising copywriters, brand managers, and digital marketing generalists who want to use AI effectively without a technical background. No coding or machine learning knowledge required—just a willingness to experiment. By the end of this guide, you'll have the confidence to select the right AI tool for any marketing task, craft prompts that deliver brand-aligned results, and integrate AI into your workflow as a powerful assistant—freeing your energy for the strategic thinking that only you can do.

AI summary: AI for Marketing Professionals by Victor Langley is a practical guide teaching marketers how to use seven AI tools (ChatGPT, Gemini, Canva, Claude, Midjourney, Notion AI, Perplexity) in content creation, branding, advertising, audience research, and email marketing. The book emphasizes prompt writing skills and provides workflows to integrate AI into daily marketing tasks without requiring technical knowledge. It is designed for marketing professionals seeking to improve efficiency and creativity while maintaining brand authenticity.

Cocok untuk

Marketing professionals including content marketers, social media managers, advertising copywriters, and brand managers

Persona pembaca

A marketing professional who wants to leverage AI tools to improve content production speed and quality without losing brand voice.

Niat pencarian

Marketers looking for a practical, non-technical guide to using AI in their daily marketing workflows.

Sudut unik

Unlike technical AI books, this guide focuses on practical prompt writing and tool selection for marketers without requiring any coding or machine learning knowledge.

Jenis konten

professional guide

Ringkasan cepat

• This book teaches marketers how to apply AI tools like ChatGPT and Midjourney to real marketing tasks.
• It covers prompt writing for ad copy, SEO, audience personas, and campaign ideas.
• No technical background or coding is required.
• The book helps maintain brand voice while using AI.
• It includes workflows for content creation, social media, and advertising campaigns.

Key topics: AI in marketing, prompt writing, content creation, branding, social media marketing, audience research, advertising campaigns, email marketing, AI tools, marketing workflow

Entities: ChatGPT, Gemini, Canva, Claude, Midjourney, Notion AI, Perplexity, prompt engineering, content marketing, digital marketing, AI assistant, brand voice

Kebutuhan yang dijawab

• Content creation takes too much time
• Keeping up with AI tools
• Losing brand authenticity with AI
• Lack of structured AI marketing approach
• Need for practical AI skills

Baca jika

• Content marketers
• Social media managers
• Advertising copywriters
• Brand managers
• Digital marketing generalists
• Marketing team leads

Mungkin kurang cocok jika

• Technical AI researchers
• Data scientists
• Developers seeking programming instruction
• Experienced AI practitioners looking for advanced concepts

Daftar isi

1. Before We Begin — A Note from the Author (introduction)
2. Understanding AI in Marketing (part)
3. How AI Is Changing Marketing (chapter)
4. The New Marketing Assistant (section)
5. From Automation to Generation (section)
6. AI in Advertising & Content: What’s Different Now (section)
7. The Marketer’s Role Isn’t Disappearing (section)
8. The Essential AI Toolkit for Marketers (chapter)
9. ChatGPT (section)
10. Gemini (section)
11. Canva (section)
12. Claude (section)
13. Midjourney (section)
14. Notion AI (section)
15. Perplexity (section)
16. How to Choose the Right Tool (section)
17. Prompt Writing Skills for Marketing (chapter)
18. The Anatomy of a Great Marketing Prompt (section)
19. Prompts for Ad Copy (Facebook & Google) (section)
20. Prompts for SEO & Content (section)
21. Audience Persona & Campaign Idea Prompts (section)
22. Refining AI Output: Edit, Iterate, Reuse (section)
23. Building Your Prompt Library (section)
24. AI for Content and Branding (part)
25. Content Creation with AI (chapter)
26. Brainstorming Content Ideas at Scale (section)
27. Writing Blog Posts with AI (Without Sounding Generic) (section)
28. Captions That Convert: Social & Ad Copy (section)
29. Storytelling for Brands: Using AI to Structure Narratives (section)
30. Content Workflows with Multiple Tools (section)
31. Branding and Creative Direction (chapter)
32. Defining Brand Identity with AI Prompts (section)
33. Crafting Slogans & Messaging That Stick (section)
34. Campaign Concepts: From Brief to Big Idea (section)
35. Visual Direction: Using Midjourney & Canva for Mood and Style (section)
36. Testing Positioning with AI “Audience” Simulation (section)
37. Social Media Marketing with AI (chapter)
38. Planning Your Content Calendar with AI (section)
39. Creating Scroll-Stopping Short-Form Posts (section)
40. Engagement Boosters: Polls, Questions, CTAs (section)
41. Repurposing Long-Form into Social Assets (section)
42. Scheduling and Workflow Integration with Notion AI (section)
43. AI for Campaigns and Research (part)
44. Audience Research and Customer Personas (chapter)
45. From Data to Insight: AI-Assisted Audience Analysis (section)
46. Building Detailed Customer Personas with Prompts (section)
47. Uncovering Pain Points and Buying Triggers (section)
48. Competitor Research Using Perplexity and ChatGPT (section)
49. Validating Personas with Real-World Input (section)
50. AI for Advertising Campaigns (chapter)
51. Generating High-Volume Ad Copy Variations (section)
52. A/B Testing Ideas: Let AI Suggest What to Test (section)
53. Landing Page Copy That Converts (section)
54. Campaign Optimization Prompts (section)
55. Ad Creative Strategy with AI Insights (section)
56. Email Marketing and Customer Communication (chapter)
57. Crafting Email Sequences with AI (section)
58. Newsletter Content That Readers Open (section)
59. Personalized Follow-Ups at Scale (section)
60. Automation-Ready Copy and Triggers (section)
61. Marketing in the AI Era (part)
62. Common Mistakes Marketers Make with AI (chapter)
63. The Generic Content Trap (section)
64. When AI Output Sounds Like Everyone Else (section)
65. Losing Your Brand Voice — and How to Get It Back (section)
66. Over-Trusting AI Without Human Checks (section)
67. Building a Quality Layer into Your Workflow (section)
68. Creativity and Brand Authenticity in the AI Era (chapter)
69. What “Authenticity” Means When AI Is Involved (section)
70. Training AI on Your Brand Voice (section)
71. Using AI to Amplify, Not Replace, Creative Direction (section)
72. The Human Editorial Layer: Where Marketers Still Shine (section)
73. Balancing Speed and Soul (section)
74. Building Faster Marketing Workflows with AI (chapter)
75. The AI-Powered Marketing System Overview (section)
76. Phase 1: Research & Audience Insight (section)
77. Phase 2: Ideation & Content Drafting (section)
78. Phase 3: Ad Production & Optimization (section)
79. Phase 4: Reporting & Learning Loop (section)
80. The Future of Marketing (chapter)

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