AI Competitor Research
Build a competitor brief with traceable sources, normalized comparisons, transparent scoring, explicit unknowns and a recommendation a business owner can challenge.
After payment, Stripe returns you to the protected student portal. Use the same checkout email to claim access.
What you will build
A decision-ready competitor package containing a bounded research brief, source ledger, normalized comparison, weighting model, limitations, research-assistant specification and capstone.
Inside the course
- 8 protected modules and 40 mastery questions.
- Complete synthetic GreenLeaf evidence packet.
- Source-ledger and comparison templates.
- Unit-price normalization and sensitivity analysis.
- Fact / calculation / inference / unknown discipline.
- Review gates and final decision package.
Learning path
- Decision & Evidence Boundary
- Source Ledger
- Comparable Scoring
- Claim Classification
- Decision Brief
- Research Assistant Gates
- Templates & Practice
- Capstone Package
Who it is for
Small-business owners, analysts, freelancers and operators who need research that shows its evidence instead of hiding assumptions.
Important limits
The classroom businesses and records are fictional. This course teaches a method; it does not provide current market validation, guaranteed demand, profitability, accreditation or a recommendation for your specific business.