Today, we’re comparing ChatGPT Deep Research, Perplexity Deep Research, and Gemini Deep Research to see which one delivers the most comprehensive, accurate, and reliable results for in-depth research projects.
🚀 In this video, you’ll learn:
✅ How each AI research tool works
✅ A step-by-step guide on using ChatGPT Deep Research, Perplexity AI, and Google Gemini Deep Research
✅ How to generate AI-powered prompt templates for optimized research
✅ A side-by-side comparison of word count, source count, and research depth
✅ Which tool delivers the best insights (with Grok as our judge!)
📌 Prompt Templates Included!
I’ve created custom prompt templates for each AI tool-ChatGPT, Perplexity, and Gemini-so you can unlock their full potential. https://tinyurl.com/yckdew72
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⚖️ Who Wins the Research Battle?
We tested these AI tools on a real-world research problem: a feasibility study for a city transit system. We analyzed their responses, structured outputs, and financial insights to see which tool provides the best and most actionable recommendations.
💡 Surprising Results!
Which AI model came out on top? You might be surprised! Perplexity had some unexpected strengths, but ChatGPT and Gemini brought their own advantages to the table.
📣 What do YOU think?
Which AI research tool do you use the most? Drop a comment below and let me know which one you’re testing out!
🔥 AI TOOLS COVERED IN THIS VIDEO:
ChatGPT Deep Research (OpenAI)
Perplexity AI Deep Research
Google Gemini Advanced Deep Research
Grok AI for comparative analysis
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00:00-03:22 Prompt Templates
03:23-05:41 Launching Deep Research
05:42-08:10 Deep Research(ing)?
08:11-13:39 Comparing Results
13:40- 4:40 Final Thoughts
