Social Media Marketing with ChatGPT and Generative AI

Course overview

Description generated based on course syllabus and open data.

This course organizes approaches to social media marketing using ChatGPT and generative AI tools. It covers text and script creation, adaptation for Facebook, Instagram, TikTok, YouTube, and LinkedIn, plus automation principles and content quality assessment.

Who this ChatGPT and generative AI social media marketing course suits, and who it does not

Suitable for

• SMM specialists, content and brand managers seeking structured workflows and reduced routine via AI.
• Entrepreneurs and marketers who need a consistent content plan for Facebook, Instagram, TikTok, YouTube, and LinkedIn.
• Copywriters and editors looking for transparent prompt procedures and quality control for AI-generated content.
• Analysts and product roles interested in formalizing content metrics and test hypotheses with ChatGPT.

Not suitable for

• Those expecting universal one-size-fits-all templates without niche and platform adaptation.
• Those who treat generative AI as a full replacement for expertise and human editing.
• Those unwilling to address data policies, testing, and fact-checking in content.

Problem → outcome in SMM with ChatGPT and generative artificial intelligence tools

• Problem: inconsistent content and no system → Outcome: structured prompts, a content plan, and quality checklists per platform.
• Problem: long approval cycles → Outcome: variants of texts and scripts aligned with tone of voice and brand requirements.
• Problem: low audience relevance → Outcome: personalized messaging via segmentation and audience-context prompts.
• Problem: challenges with short-form video → Outcome: script structures for Reels/Shorts, timestamps, hooks, and preview copy.
• Problem: chaotic testing → Outcome: hypotheses, A/B variants, and baseline metrics for content evaluation.

Comparison with alternatives in social media marketing

• Manual content without AI: full style control but higher time costs; harder to scale variations.
• Template-based post generators: fast start yet often generic and shallow for niche topics.
• Other LLMs/generative AI: may excel in images/video; require alignment with editorial standards.
• ChatGPT with supporting tools: flexible prompts, platform-specific adaptation, integrations into workflows, and fact validation.

Learning outcomes: competencies for social media marketing with ChatGPT and generative AI

• Understanding how ChatGPT works and the ethics of using generative AI in SMM.
• Building prompt chains for posts, captions, ad copy, and Reels/Shorts scripts.
• Adapting content for Facebook, Instagram, TikTok, YouTube, and LinkedIn with platform context.
• Designing a content plan, rubrics, and tagging; fact-checking and tone control.
• Setting up basic automation: drafts, publication calendar, versioning, and interim briefs.
• Testing procedures: preparing A/B variants, defining metrics, and simple approaches to data analysis.