Deep Research Agents for Market Research: Chanel Brand Audit with Google Gemini + ChatGPT

Описание: Search engines give you answers. Deep Research agents give you a report.
In this video, I demonstrate how to use Google Gemini Deep Research and ChatGPT Deep Research (research-style reasoning agents) to conduct a fast, evidence-based market research + brand audit for Chanel, and turn the findings into a stronger social media marketing plan.

You’ll learn the key mindset shift:
✅ Don’t use Deep Research like Google.
✅ Use it like a junior consultant at McKinsey, with a clear brief, required sources, cross-checking, and a report format.

What you’ll see in this Chanel case study:
📌 The Master Prompt (one prompt that runs the full audit)
📌 How Gemini & ChatGPT generates a research plan before starting
📌 How it searches across reports + news + forums (Bain/McKinsey, BoF/Vogue Business, Reddit, The Purse Forum...)
📌 How to extract strategy from the final output:
👉Brand positioning: heritage vs modernity
👉Product strategy: Halo products vs Recruitment products
👉Market trends 2025: quiet luxury, sustainability, digital shifts
👉Competitors: Chanel vs Dior vs Hermès (cinematic vs commercial vs artisanal)
👉Audience deep dive: Classic Client vs Gen Z Aspirant
👉Sentiment mining: price increase + quality concerns and what that means for content
👉Platform ecosystem: Instagram vs TikTok vs YouTube (different jobs, different formats)

🤔Why I run both Gemini and ChatGPT🤔
👍Gemini tends to deliver a structured, business-ready report (clean, slide-deck logic).
👍ChatGPT often adds psychological nuance (why consumers still buy, despite complaints).
👍Together, they help you triangulate insights and build a strategy that has both structure and soul.

💬 Question for you:
If you had to choose one tool for marketing research—Gemini Deep Research or ChatGPT Deep Research—which would you pick, and why?

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