Generative AI for Social Media Content & Growth Hacking
Unlock the power of Generative AI to create engaging social media content, automate campaigns, and drive faster audience growth and brand visibility.
Duration: 1 Day
Hours: 2 Hours
Training: Live Training
Training Level: All Level
Tuesday, January 20, 2026
12:00 PM - 02:00 PM (Eastern Time)
Friday, February 13, 2026
12:00 PM - 02:00 PM (Eastern Time)
Friday, March 20, 2026
12:00 PM - 02:00 PM (Eastern Time)
About the Course:
Social media platforms reward speed, consistency, and data-driven experimentation, but most teams struggle to produce high-volume, high-quality content tailored to audience psychology. Generative AI can 10x ideation, accelerate content batching, tailor messages to platform algorithms, and surface growth insights.
This workshop teaches participants how to use Gen AI to create resonant content, optimize for engagement, repurpose across channels, and systematically test growth hypotheses without burning out creative resources.
Course Objectives
By the end of this course, participants will be able to:
- Generate platform-optimized content (LinkedIn, X/Twitter, Instagram, TikTok, YouTube)
- Analyze audience sentiment and engagement patterns using AI
- Repurpose long-form content into short-form hooks and micro-assets
- Batch produce captions, hashtags, hooks, CTAs, and variations
- Use AI to test headlines, copy variants, and tone for engagement lifts
- Surface growth insights from comments, trends, and competitor content
- Build content calendars, campaign arcs, and narrative pillars
- Tailor messaging to audience segments and persona psychographics
- Monitor brand voice consistency and risk exposure using AI review loops
Who is the Target Audience?
- Social Media Managers & Content Creators
- Growth Marketers & Community Leads
- Founders building personal or brand presence
- Agencies supporting multiple brands
Basic Knowledge:
- Ideal for professionals responsible for content velocity and audience growth.
Curriculum
Total Duration: 2 Hours
Kickoff & Growth Mindset
- Output volume vs. quality vs. consistency
- Algorithm incentives across platforms
- AI as creative amplifier (not creator-only)
Prompting Foundations for Content Creation
- Role + audience + tone + platform + intent
- Psychological hooks and engagement patterns
- Platform-specific constraints
Audience & Persona Intelligence
- Sentiment mapping
- Pain point clustering
- Content gap analysis
- Competitor voice modeling
Content Pillar Design
- Narrative themes
- Series-based content arcs
- Hero vs. hygiene vs. hub content
Hook & Headline Engineering
- Curiosity gaps
- Pattern interrupts
- Emotional triggers
Content Batching with AI
- Weekly topic expansion
- Multi-post variations
- Caption + CTA optimization
Copy Testing and Optimization
- Tone variations
- CTA split-testing
- Hashtag strategy prompts
Repurposing Long-Form Content
- Article → 10 posts
- Video transcript → threads
- Podcast → quotes + summaries
- Comment mining
AI-Assisted Creative Assets
- Carousel outlines
- Storyboard ideas
- Thumbnail copy
- Short video script patterns
Engagement & Community Management
- Comment responses
- Audience poll ideation
- Q&A harvesting
- Feedback loops
Trend Spotting
- Emerging memes and formats
- Seasonal timing windows
- Competitor velocity analysis
Channel-Specific Best Practices
- LinkedIn (thought leadership, narrative arcs)
- X/Twitter (brevity, contrarian takes)
- Instagram (visual hierarchy, carousel logic)
- TikTok (hooks in first 3 seconds)
Analytics & Insight Generation
- Engagement patterns
- Post-mortem summaries
- Content ROI estimation
Risk Review & Governance
- Brand voice protections
- Accuracy checks
- Copyright pitfalls
- Sensitive topic handling