The Modern Marketer

ai for marketing course, ai marketing tools, generative engine optimization, GEO for marketers, brand voice prompts, ai campaign planning, chatgpt for marketers, ai for marketers, marketing analytics with ai

practitioner

en

• Map 8 marketing jobs onto 4 AI tool families using a 4-question routing rubric
• Extract 5-7 brand-voice rules from sample documents and save them as a reusable system prompt in a Custom GPT, Claude Project, or Gemini Gem
• Plan campaigns with AI for cited audience research, message variants, and pre-launch red-teaming under a citation discipline
• Apply Generative Engine Optimization: JSON-LD structured data, per-engine brand-mention saturation, and citation-worthy formatting
• Build three small marketing tools with an AI coding agent: a competitor blog tracker, a campaign data analyzer, and a content calendar generator
• Spot AI overclaim patterns in analytics (confounded variables, cherry-picked windows, vanity metrics) and design tighter A/B tests
• Decide when AI is a thinking partner versus when to make the call yourself using a 2-question rule

• Url: https://aiacademy.anthropos.work/chapters/marketing-ai-intro/ · AI for Marketing: Start Here · Position: 1 · 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
• Url: https://aiacademy.anthropos.work/chapters/marketers-ai-toolkit/ · The Marketer's AI Toolkit · Position: 2 · 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
• Url: https://aiacademy.anthropos.work/chapters/marketing-brand-voice/ · Brand-Voice Prompts · Position: 3 · 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
• Url: https://aiacademy.anthropos.work/chapters/marketing-campaign-planning/ · AI-Powered Campaign Planning · Position: 4 · 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
• Url: https://aiacademy.anthropos.work/chapters/marketing-geo/ · Generative Engine Optimization (GEO) · Position: 5 · 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
• Url: https://aiacademy.anthropos.work/chapters/coding-lite-for-marketing/ · Coding-Lite for Marketing · Position: 6 · 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
• Url: https://aiacademy.anthropos.work/chapters/marketing-ai-thinking-partner/ · AI as Thinking Partner — Marketing · Position: 7 · 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
• Url: https://aiacademy.anthropos.work/chapters/marketing-measure-iterate/ · Measure & Iterate with AI · Position: 8 · 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

• Map 8 marketing jobs onto 4 AI tool families using a 4-question routing rubric
• Extract 5-7 brand-voice rules from sample documents and save them as a reusable system prompt in a Custom GPT, Claude Project, or Gemini Gem
• Plan campaigns with AI for cited audience research, message variants, and pre-launch red-teaming under a citation discipline
• Apply Generative Engine Optimization: JSON-LD structured data, per-engine brand-mention saturation, and citation-worthy formatting
• Build three small marketing tools with an AI coding agent: a competitor blog tracker, a campaign data analyzer, and a content calendar generator
• Spot AI overclaim patterns in analytics (confounded variables, cherry-picked windows, vanity metrics) and design tighter A/B tests
• Decide when AI is a thinking partner versus when to make the call yourself using a 2-question rule

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.

Course Mode: online · Course Workload: PT167M · Mode: online