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AI Marketing

Marketing built around what AI actually changed

Generative content, AI video, chatbots that qualify leads, and getting cited inside an AI-generated answer instead of ranked on a results page — taught as part of a real marketing syllabus, not a standalone gimmick.

From the Digital Marketing syllabus

The four AI modules, as taught

Module 11

Generative AI for Marketing: Prompting & Assistants

Prompt frameworks for ChatGPT, Claude, Gemini and Perplexity, and building a brand-trained custom AI assistant.

Module 23

AI Video Generation & Synthetic Creative

Text-to-video and AI avatars using Sora, Google Veo, Runway, Kling and HeyGen, with multilingual AI voice via ElevenLabs.

Module 29

AI Integration: Chatbots, WhatsApp & CRM

Training a brand chatbot, WhatsApp Business API deployment and CRM routing for inbound leads.

Module 32

GEO & AEO: Visibility Inside AI Search

Structuring content so brands get cited inside ChatGPT Search, Perplexity, Google AI Overviews and Gemini.

Questions

AI marketing, plainly

Both. It runs as four modules inside the 9-month Digital Marketing Expert track (generative AI content, AI video, AI chatbots/CRM, and GEO/AEO for AI search), and as its own dedicated track in the AI-Powered Marketing course for anyone who wants to go deeper on AI alone.

Generative Engine Optimisation and Answer Engine Optimisation are the practice of structuring content so tools like ChatGPT Search, Perplexity and Google AI Overviews cite your brand in their answers — the same job SEO does for a search results page, but for an AI one.

No. The AI marketing modules assume the marketing foundations taught earlier in the same course, not a coding background — the tools are prompted and configured through their own interfaces.

Real, named tools rather than a generic overview: ChatGPT, Claude, Gemini and Perplexity for prompting; Sora, Google Veo, Runway, Kling and HeyGen for AI video; and ElevenLabs for multilingual AI voice, among others documented on the Digital Marketing course page.

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