AI native marketing | Online course: Competitive research for ads using AI
Build a repeatable competitor research system that maps their blind spots and turns them into ad variants that outperform
Instructor: Jack Paxton
CEO of Top Growth Marketing
Use a proven AI-powered system for competitive research that saves 10+ hours per analysis while delivering deeper insights than manual research ever could.
You’ll walk away with:
- The exact AI tools and prompts to use for deep competitor analysis
- How to generate comprehensive feature and pricing comparison tables in minutes
- A systematic approach to identifying your competitive advantages and blind spots
- Ready-to-use hooks and ad concepts based on competitor weaknesses
Trusted by marketers at
Manual competitive research is gone. The gap is now between teams that automated it and teams that didn’t.
Your competitors aren’t just getting better at ads. They’re getting better at understanding YOU. They know your pricing, your positioning, your weaknesses. If you’re still manually checking their websites and guessing at their strategy, you will fall behind fast.
This workshop shows you a proven system for using AI to dissect competitor strategies, identify their blind spots, and turn those insights into ads that steal their customers.
Part 01: The advertising AI shift
Become an early adoptor and create AI-powered competitor insights to grow your advantage, before everyone else catches up.
- The 4 AI categories that Matter: Research, Copy, Creative, and Data Analysis
- LocaliQ’s SMB adoption statistics and what they mean for competitive advantage
- Why early AI adoption creates a moat (before the playing field levels)
- The Input Quality Principle: Better prompts = better outputs
Part 02: Research and planning with AI avatars
Build detailed AI-powered customer avatars to guide campaigns from first touch to long-term retention.
- Demonstration of ChatGPT and Manus for avatar generation
- Map avatars to the full customer journey, from top-of-funnel hooks to retention strategies.
- Test assumptions, find overlooked buying triggers, and provide your creative team with a reliable blueprint for ads, emails, and offers.
- Fact-checking methods using post-purchase surveys and customer feedback
- Mind-mapping visualization for team briefings and client presentations
Part 03: Competitor and niche review
Competitor research becomes a faster way to sharpen your offer and positioning. AI helps surface pricing, reviews, shipping policies, social proof, and visible gaps, then turns those findings into ad hooks and positioning angles that make your brand easier to choose.
- Competitive Intelligence Extraction: Pricing, features, reviews, and operational data
- The “Long-Running Ad” principle for identifying winning creative
- Gap analysis for out-competing on price, features, or positioning
- Using Foreplay and Adnova for advanced ad library research
Part 04: Ad review through AI
Turn your chaotic performance data into a list of clear action items.
- The Screenshot Method: Fastest way to feed AI your performance data
- Actionable Plan Generation: From analysis to day-by-day implementation steps
- Benchmark Setting: Using AI to calculate improving moving averages
- Multi-model validation using Grok, ChatGPT, and Abacus
Part 05: Workshop – AI competitor intelligence implementation
Now it’s your turn to position your company ahead of the competition – construct a complete AI research system within 90 minutes.
Join our next AI native marketer cohort
Six weeks. Five working workflows. Starts 29 September 2026.
Get set up for AI native workflows
Build your AI workspace: VS Code and Claude wired together, plus your first Claude skill running on your own work.
Marketing Brain
Build a GitHub context repository: your ICP, positioning, voice and proof, wired into Claude Code and n8n via MCP.
Campaign engine with a quality gate
Build a workflow: one brief in, a full campaign out (emails, social, sequences), with sources and a brand voice check.
AI visibility and AI-era measurement
Build a share-of-model baseline: how often ChatGPT, Gemini and Perplexity name you, AI traffic in GA4, pages to write.
Marketing insight and reporting agent
Build an agent that reads your ad platforms, GA4, CRM and email, then posts a weekly summary: what changed, what to do.
Company Marketing Brain
Build the context system customized for your team: one versioned source every AI tool draws from, plus a rollout plan.
Build one AI native workflow every week that you use at work.
You build a context brain your AI draws from, a campaign engine with a quality gate, an AI search visibility baseline, a weekly reporting agent, and the team version of the brain.
Meet your instructor
Jack Paxton, a founder and paid media expert, grew TasteSalud’s revenue from 52k to 1.2M monthly and lifted Skinn’s ROAS by 195 percent.
This is what marketers said after our live workshops and courses
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