Yes — AI can help you systematically research competitor courses by analyzing publicly available information like sales pages, curriculum outlines, reviews, and social media. It turns what used to be hours of manual browsing into a structured competitive picture you can act on.
What AI Can Actually See About Competitors
AI tools like Claude or ChatGPT can’t log into private course platforms or view behind-the-paywall content. But they can help you extract a surprising amount from what’s public. If you paste a competitor’s sales page into Claude and ask “What topics does this course cover and what outcomes does it promise?”, you’ll get a clean breakdown in seconds.
Think of it like having a research intern who reads fast. You bring the raw material — the Udemy listing, the sales page, the YouTube channel, the Amazon reviews for a competitor’s book — and AI helps you extract the patterns. What modules do they teach first? What pain points do they lead with? What do reviewers say they wished was included?
How to Build a Useful Competitor Analysis
A practical workflow: paste 3–5 competitor sales pages into Claude and ask it to produce a comparison table covering topics taught, audience level, price point, and promised outcomes. Then ask a follow-up: “Based on these, what gaps or underserved angles do you notice?” You’ll often get useful observations about what everyone covers and what no one addresses.
Go deeper with reviews. Copy 10–15 student reviews from a competitor’s Udemy or Teachable course and ask Claude: “What do students say is missing, confusing, or most valuable?” This is direct feedback about what your audience wants that your competitor isn’t delivering — and it’s all public information.
You can also use AI to analyze YouTube channels in your niche. Feed it a list of video titles from a competitor and ask what topics they return to most often. That tells you what their audience keeps asking about.
What This Means for Educators
Competitor research used to feel overwhelming — there was so much to read and no clear way to organize it. AI makes the synthesis fast. As a coach or consultant, this means you can position your course more precisely. Instead of teaching everything, you can teach the specific angle that competitors ignore, or go deeper on the topic where reviews say others stay shallow.
This is also useful before you create anything. Spending 90 minutes on AI-assisted competitor research before you outline your course can save you weeks of building something the market already has plenty of.
The Bottom Line
AI won’t give you access to locked content, but it’s excellent at processing what’s public and finding the patterns you’d miss in manual browsing. Use it to compare, synthesize, and spot gaps — then use those gaps to position what makes your course the right choice. The educators who research before they build consistently create more differentiated, more sellable courses.