ChatGPT Marketing and Lead Generation Masterclass

ChatGPT to research markets, create persuasive campaigns, generate qualified leads, and build repeatable marketing

Created byDr. Law Payne

Last updated 10/2026

English

What you'll learn

1. Build an evidence-based ChatGPT marketing strategy connected to meaningful business outcomes.
2. Create reusable AI workflows using strong context, constraints, examples, and evaluation criteria.
3. Improve market research, positioning, messaging, campaign development, and lead generation.
4. Design stronger offers, lead magnets, funnels, nurture sequences, and conversion paths.
5. Apply human review, verification, privacy, and brand-safety controls at the right moments.
6. Measure quality, efficiency, customer response, pipeline contribution, and organizational learning.

Course content

1 section • 5 lectures • 33m total length

Build Your ChatGPT Marketing Operating System6:41
Build the strategic foundation for the entire course. Students learn how prompt architecture, context, role definition, evidence standards, reusable instructions, and human review work together. The lecture demonstrates why strong AI output begins with a clear business decision and concludes with an assignment to create a reusable marketing operating system.
Market Research and Buyer Intelligence6:26
Apply ChatGPT to voice-of-customer analysis, competitor research, segmentation, jobs-to-be-done, pain-language extraction, and insight validation. Students learn to distinguish evidence from assumption, compare competing interpretations, document source limitations, and build a buyer-intelligence brief that another professional can review.
Offers, Messaging, and Campaign Creation6:42
Translate buyer intelligence into value propositions, offer structures, objection responses, message hierarchies, campaign concepts, and channel-specific variations. Students learn how to generate alternatives without surrendering editorial judgment and use a scorecard to evaluate relevance, specificity, credibility, clarity, and brand fit.
Lead Magnets, Funnels, and Conversion6:41
Examine lead-magnet strategy, landing-page logic, information hierarchy, nurture sequences, qualification criteria, calls to action, and conversion diagnostics. Students use ChatGPT to strengthen reasoning and variation while preserving message continuity, customer trust, and human approval at consequential points.
Automation, Measurement, and Responsible Scale6:46
Connect workflow automation to quality assurance, campaign analytics, experimentation, hallucination control, privacy, documentation, and responsible governance. Students learn how to establish baselines, evaluate business impact, diagnose failure, define approval gates, and create a practical roadmap for scaling what works.

Requirements

1. **No coding experience is required.**
2. Access to ChatGPT is helpful but not required to understand the strategic frameworks.
3. Students should bring a real business, client, campaign, offer, or professional objective to apply throughout the course.
4. A willingness to test assumptions and verify AI-generated claims is essential.

Description

This course contains the use of artificial intelligence.

Artificial intelligence can increase the speed of marketing, but speed without strategy creates more noise. **ChatGPT Marketing and Lead Generation Masterclass** gives professionals a structured, evidence-based system for using ChatGPT while protecting judgment, accuracy, customer trust, and brand integrity.

This course moves beyond isolated prompts and disconnected tactics. Students learn how to define business outcomes, organize useful context, develop repeatable workflows, evaluate output quality, maintain human review, and connect marketing activity to measurable results.

The first lecture establishes the ChatGPT marketing operating system, including prompt architecture, roles, context, constraints, evidence, and reusable workflow design. Students then use ChatGPT for market research, voice-of-customer analysis, competitor intelligence, segmentation, and insight validation.

The course continues with offer design, value propositions, objection analysis, message hierarchy, campaign creation, and channel adaptation. Students apply those concepts to lead magnets, landing pages, nurture sequences, qualification, and conversion diagnostics.

The final lecture connects automation to measurement, human review, experimentation, hallucination control, privacy, governance, and responsible scale. Each lecture includes a practical framework, realistic application, quality controls, and an assignment that can be used with an organization, campaign, client, or professional goal.

By the end of the course, students will possess a working ChatGPT marketing operating system and a practical roadmap for responsible execution and continuous improvement.

Who this course is for:

1. Entrepreneurs and business owners who want a structured AI-assisted marketing system.
2. Marketing professionals responsible for research, messaging, campaigns, content, and lead generation.
3. Consultants, agencies, creators, and sales teams seeking more consistent marketing workflows.
4. Professionals who want rigorous business processes instead of disconnected prompt collections.
5. Teams seeking practical AI adoption with human judgment, verification, and accountability.