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.

My Favorite AI Tools:

Tella (AI screen recording app I record all my solo episodes with) - https://danchez.com/tella
High Level (My all in one marketing platform) - https://danchez.com/highlevel
Zencastr (Best AI podcast tool) - https://danchez.com/podtools
n8n (my favorite AI automation tool) - https://danchez.com/n8n

Resources Mentioned:

Audience Deep Research Toolkit - https://danchez.com/research

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

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