The Modern Marketer

Your map to the 7 marketing-specific AI capabilities — pick the right tool per job, extract brand voice, plan campaigns, master GEO, build small automations, recognize when AI is your partner vs your trap, and measure with judgment. The chapter's 7 courses and how they fit together.

Map the 8 marketing jobs onto the 4 AI tool families, learn the routing logic, and build the small multi-tool stack that actually fits a marketer's week.

Extract voice rules from sample docs, capture them as a persistent system prompt across Claude / ChatGPT / Gemini, and recognize the drift signals that tell you it's time to reseed.

AI doesn't teach you campaign planning. It changes where you accelerate — and where you must not. Five operational moments, anchored on real-customer research, with a verification spine throughout.

GEO is not better SEO. Different game, different metrics. Master the four moves — structured data, brand-mention saturation, citation-worthiness, hybrid playbook — and learn how to measure visibility inside AI engines.

Three small builds a marketer can ship in a week — competitor blog tracker, campaign data analyzer, content calendar generator — using Claude Code as the worked example, with explicit escape hatches to Cursor, Codex, and Gemini CLI.

AI is useful for thinking, dangerous for deciding. The skill that lasts isn't memorizing tools — it's recognizing the pattern. Four marketing cases that teach the difference between thinking-partner ✅ and decision-input ❌.

Use AI to interpret analytics faster, design tighter A/B tests, and recognize the 3 overclaim patterns that turn confident outputs into bad decisions.