Course · 8 chapters
El Marketer Moderno
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
- 1IA para Marketing: Empieza Aquí
Tu mapa de las 7 capacidades de IA específicas para marketing — elige la herramienta adecuada para cada trabajo, extrae la voz de marca, planifica campañas, domina GEO, construye pequeñas automatizaciones, reconoce cuándo la IA es tu aliada vs tu trampa, y mide con criterio. Los 7 cursos del capítulo y cómo se integran.
- 2El kit de IA del marketer
Mapea los 8 trabajos de marketing sobre las 4 familias de herramientas de IA, aprende la lógica de enrutamiento y arma el pequeño stack multiherramienta que de verdad encaja en la semana de un marketer.
- 3Brand-Voice Prompts
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.
- 4AI-Powered Campaign Planning
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.
- 5Generative Engine Optimization (GEO)
GEO no es un mejor SEO. Juego distinto, métricas distintas. Domina los cuatro movimientos —datos estructurados, saturación de menciones de marca, capacidad de ser citado, manual híbrido— y aprende a medir tu visibilidad dentro de los motores de IA.
- 6Coding-lite para marketing
Tres pequeños proyectos que un marketer puede lanzar en una semana — rastreador de blogs de la competencia, analizador de datos de campaña, generador de calendario de contenidos — usando Claude Code como ejemplo guiado, con vías de escape explícitas hacia Cursor, Codex y Gemini CLI.
- 7AI as Thinking Partner — Marketing
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 ❌.
- 8Measure & Iterate with AI
Use AI to interpret analytics faster, design tighter A/B tests, and recognize the 3 overclaim patterns that turn confident outputs 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.