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Module 1: Foundations

The marketing AI stack

The categories of AI marketing tools — learn the map, since the logos churn.

There are thousands of AI marketing tools and the list changes constantly (tools merge, reprice, and get absorbed into bigger suites monthly). So learn the categories — durable — and treat specific tool names as current examples to verify, exactly as our Tool Stack course teaches.

The marketing AI stack by job:

  • General assistants (ChatGPT, Claude, Gemini, Copilot) — your marketing "chief of staff": ideation, drafting, research, analysis, summarizing. Often where most of your value comes from, and the first tool to get good at.
  • Content / copy (Jasper, Copy.ai, Writer) — on-brand long- and short-form copy with brand-voice memory, templates, and workflows. Writer leans enterprise (governance, brand control).
  • SEO / content optimization (Surfer, Clearscope, Frase, MarketMuse, and AI-search-visibility features now in Ahrefs/Semrush) — keyword and brief generation, grading content against what ranks, and increasingly tracking your visibility inside AI answers.
  • Social (Buffer, Hootsuite, Sprout) — scheduling, caption and variant generation, social listening.
  • Short-form video (Opus Clip, Captions) — turning long videos into captioned vertical clips. High-leverage.
  • Email / lifecycle (Klaviyo, HubSpot, Braze, Mailchimp) — subject lines, send-time, segmentation, personalized journeys.
  • Ads (Meta Advantage+, Google Performance Max / AI Max) — copy/creative generation plus platform automation.
  • Image / video generation (covered in our Creating with Generative AI course) — creative assets, product imagery, video.
  • Analytics / insight (GA4 with AI, platform copilots) — report narratives, anomaly detection, plain-language data questions.

Two durable observations. First, the stack is consolidating — big suites (HubSpot, Adobe, Salesforce, Google, Meta) keep absorbing point-tool features, so a capability you'd buy a tool for today may be built into something you already have tomorrow. Check before adding. Second, evaluate on criteria, not logos: data security and terms, brand-voice control, human-review workflow, integration with what you use, and — above all — measurable lift. A tool that doesn't move a real metric isn't worth the subscription.

You don't need most of these. Start with a strong general assistant, add the one or two specialists your work demands (usually content/SEO and maybe short-form video), and expand only against real, recurring needs — the lean-stack discipline applied to marketing.

Try it

Map your current marketing tasks to these categories. Identify the one category where an AI tool would save you the most time weekly — that's your first specialist to evaluate.

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