A practical workshop for marketing professionals on applying AI across nine core disciplines — from competitive analysis and SEO to video generation and ads management.
This course delivers the exact AI-powered marketing workflows used by high-performing teams. Each module follows a consistent structure: topic overview, curated toolkit, step-by-step workflow, and a hands-on exercise.
You will leave each session with practical skills you can apply the next day — from automated competitive monitoring to AI-generated video content and data-driven campaign optimisation.
Each 3-hour session tackles one core marketing discipline, combining AI tool mastery with hands-on exercises you complete during class.
Run a topical authority audit against your top 3 competitors using ChatGPT + Ahrefs/SEMrush. Walk out with a prioritised list of 20 articles to write and a live price/ad monitoring alert set up in Visualping.
Outcome: Analyze these two sitemaps and list every topic my competitor covers that I don't, ranked by estimated traffic value.
Take one content gap from Workshop 1 and build it out fully — a long-form article with brand voice applied, plus an AI-storyboarded video script with B-roll generated in Runway. One topic, two formats, done in a session.
Outcome: Rewrite this draft in a bold, punchy brand voice, then extract a 90-second video script from it with 8 B-roll scene suggestions.
Use Brandwatch or TikTok's Creative Center to find a trending topic, then run your Workshop 2 video through OpusClip to cut 3 platform-native clips with auto-captions. Publish while the trend is still climbing.
Outcome: Here are 5 trending audio transcripts in my niche. Which themes overlap with my content? Suggest 3 hook angles for each.
Feed your best organic content into a Google Performance Max campaign. Use AI to spin 1 headline into 25 persona-targeted variations, upload assets, and let smart bidding take over. Negative keyword mining included.
Outcome: Here is my primary headline. Generate 20 variations: 5 for budget-conscious buyers, 5 for premium seekers, 5 for urgency-driven, 5 for feature-focused.
Build a lead qualification bot in Chatbase that scores visitors on budget and urgency, then auto-triggers a Klaviyo sequence with dynamic product recommendations based on the bot output. Zero manual handoff.
Outcome: Design a 6-question interview bot flow that scores leads 1–10 on purchase readiness and outputs a tag for the CRM.
Set predictive send-time rules in Mailchimp or Klaviyo, then connect your analytics layer to auto-generate a Monday morning executive summary: open rates, drop-offs, anomalies flagged, next action suggested.
Outcome: Here is last week's email performance data. Identify the 3 biggest anomalies, explain likely causes, and recommend one test for each.
Wire your multilingual support bot to a reporting dashboard. Query it in plain English to ask what customers complained about most this week, and turn the output into a product feedback loop.
Outcome: Here are 200 support chat transcripts. Cluster them into the top 8 complaint categories and estimate how many tickets each category would eliminate if resolved.
Scrape your competitors' active Meta and LinkedIn ads using the Ad Library, summarise their hook strategy with AI, then immediately pressure-test your own ad creative against their patterns.
Outcome: Here are 15 competitor ads. Identify the 3 dominant hook structures, the offer types they're pushing, and list 5 angles they haven't tried yet.
Close the loop: use natural language querying to find which articles drove the most qualified leads last quarter, then feed that answer back into your topical authority map to decide what to build next.
Outcome: Here is my GA4 + Search Console data. Which content pieces show high impressions but low CTR? Suggest title and meta rewrites for the top 10.
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