Course · 8 chapters
The Modern Marketer
Run marketing with AI: route each job to the right tool, lock your brand voice into a reusable prompt, plan campaigns, do GEO, and measure with judgment. 8 chapters, practitioner.
What you'll be able to do
- Route marketing jobs to the right AI tool
- Capture your brand voice as a reusable prompt
- Plan campaigns with cited AI research
- Win AI citations with Generative Engine Optimization
- Build marketing tools with an AI coding agent
- Catch fake AI wins in your analytics
What's inside
- 1AI for Marketing: Start Here
Your map to the 7 marketing-specific AI capabilities — pick the right tool per job, extract brand voice, plan campaigns, master Generative Engine Optimization (GEO), build small automations, recognize when AI is your partner vs your trap, and measure with judgment. Orient through the chapter, see the stack-map (hub + 6 spokes), and pick a recommended starting course based on your role and current pain
- 2The Marketer's AI Toolkit
Map the 8 marketing jobs onto the 4 AI tool families (chat agents, research surfaces, embedded AI, automation), learn the 4-question routing rubric, and assemble the small multi-tool stack that actually fits a marketer's week — the foundation for the rest of the chapter
- 3Brand-Voice Prompts
Workshop the 3 operational moves of brand-voice work with AI — extract 5-7 voice rules from 3-5 sample documents, capture them as a persistent system prompt (Custom GPT, Claude Project + Skill, or Gemini Gem) so every chat starts on-voice, and recognize the 5 drift signals that say it's time to reseed before shipping
- 4AI-Powered Campaign Planning
Recognize the 4 moments where AI genuinely changes campaign planning (cited audience research, message-variant generation, pre-launch red-team, pre-ship verification) and the 3 dangers where its fluency makes things worse (positioning judgment, stakeholder politics, budget trade-offs) — operational moves with a citation discipline that keeps invented buyers out of your dossier
- 5Generative Engine Optimization (GEO)
GEO is not better SEO. Different game, different metrics. Master the 4 operational moves — JSON-LD structured data AI engines prefer, per-engine brand-mention saturation (ChatGPT, Perplexity, AI Overviews each cite from different sources), citation-worthy content formatting (the opening 200 words rule + 5 more), and the hybrid SEO/GEO playbook — plus how to measure visibility with Otterly / Profound
- 6Coding-Lite for Marketing
Build 3 small marketing tools end-to-end with an AI coding agent (Claude Code as worked example; Cursor / Codex / Gemini CLI as escape hatches) — a competitor blog tracker from RSS feeds, a campaign data analyzer that turns HubSpot CSV exports into AI-narrated insights, and a content calendar generator that produces voice-matched multi-channel calendars. With the personal-stays-personal discipline that keeps these tools from becoming accidental products
- 7AI as Thinking Partner — Marketing
The meta-skill that outlasts every tool churn — AI is useful for thinking, dangerous for deciding. 4 marketing cases (AI buyer personas, market sizing, competitive analysis, campaign ROI prediction) plus a 2-question decision rule (generate or adjudicate? if wrong, reversible or not?) that applies to any AI tool — including ones that don't exist yet
- 8Measure & Iterate with AI
The chapter's analytical close — use AI to interpret analytics faster (compute outside AI, narrate with AI), design tighter A/B tests (hypothesis crispness + sample-size sanity + when to use multi-arm bandits), and recognize the 3 overclaim patterns AI is prone to (confounded variables, cherry-picked windows, vanity metrics) that turn fluent dashboards into bad decisions
Frequently asked questions
- What will I learn in this AI for marketing course?
- You learn to match the right AI tool to each of 8 marketing jobs, capture and protect brand voice as a reusable system prompt, plan campaigns with cited research and red-teaming, apply Generative Engine Optimization (GEO), build three small marketing tools with an AI coding agent, and measure results with judgment. It runs across 8 chapters covering chat agents, research surfaces, embedded AI, and automation.
- Who is this course for?
- It is built for working marketers and marketing teams who want a practical AI workflow across content, campaign, brand, and growth roles. It is a practitioner-level path, so it assumes you already do marketing work and want to do it faster and better with AI.
- Do I need to know how to code?
- No coding background is required. The Coding-Lite chapter uses an AI coding agent such as Claude Code to build three small tools step by step, so you direct the AI in plain language instead of writing code yourself.
- How long is the course and is it self-paced?
- The course runs about 2.8 hours across 8 chapters and is fully self-paced. You can finish it in one sitting or spread it over several short sessions, and your progress is tracked as you go.
- What is GEO and why is it in a marketing course?
- GEO stands for Generative Engine Optimization, the practice of getting your brand cited by AI engines like ChatGPT, Perplexity, and Google AI Overviews. The course teaches it as a discipline distinct from SEO, covering JSON-LD structured data, per-engine brand-mention saturation, citation-worthy formatting, and how to measure visibility with tools like Otterly and Profound.
Earn a certificate
Complete all chapters to receive your certificate of completion.