In this AI marketing podcast episode, Dan Sanchez dives deep into one of the most underrated AI capabilities available in ChatGPT: its Deep Research tool. While the AI world buzzes with talk about autonomous agents, Dan reveals how this built-in feature can outperform them by giving marketers unparalleled insight into their customers. He explains how Deep Research goes beyond a simple web search, dedicating 30-40 minutes to iterative, thoughtful analysis of internet data, and shows how to use a 12-part prompt pack to harness it effectively. From decoding audience pain points to discovering grant opportunities, Dan demonstrates how any marketer can unlock gold hidden across forums, social platforms, and blogs to create resonant, data-backed content.
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Timestamps:
- 00:00 - Why Deep Research is the most underrated AI agent
- 00:57 - ChatGPT vs. agents: what people are missing
- 02:30 - How Deep Research actually works in GPT-4 (O3)
- 04:45 - The real-world example: finding playground grants for an HOA
- 07:10 - What Deep Research asked before running the project
- 09:00 - A full breakdown of the results and insights
- 11:00 - Best use cases for Deep Research in marketing
- 12:45 - Preview of the 12 prompt library to decode your audience
- 15:20 - Most common AI-related questions marketers ask
- 17:35 - How to use Deep Research to fuel content, strategy, and offers
- 21:00 - Going beyond: brand audits, objections, influencers, and more
