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AI / Artificial Intelligence
OpenAI/ChatGPT
Google / Gemini
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OpenAI/ChatGPT
Google/Gemini
The Duel: ChatGPT Deep Research vs Google Gemini Deep Search
Mike compares ChatGPT Deep Research live with Gemini Deep Search using the same research task – sales research for Swiss sports federations – and reaches a clear conclusion.
What you will learn
Direct comparison: same prompt, both tools, real-world test. Mike finds out which tool performs better at structured web research.
Result
Gemini wins clearly. Faster, more structured, more sources (211 vs. 48), better-presented results. Direct export to Google Docs.
What Gemini does better
Shows a customisable research plan upfront
Gives a time estimate (1 / 5 / 10 minutes)
Works methodically: first an overview of all sports associations, then prioritises, then works through them one by one
Shows each jump in reasoning and contradictions transparently
Delivers the result directly as a Google Doc with all source references
What ChatGPT does less well
Went straight to the football association instead of first researching an overview of all relevant associations
Only 48 sources vs. 211 for Gemini
~14 minutes waiting time vs. a few minutes with Gemini
Less transparent reasoning
Prompt used
"Search for 10 Swiss sports associations and try to find the head of marketing, and find which strategic projects they plan to carry out in marketing in the coming years."
Further use cases for Deep Research
Research customer feedback in forums
Automate monthly competitive analyses
Create trend reports for marketing