Product Research · Podcast episode · source Mar 16, 2026
Category Niche Brainstorm That Found a Gap with ChatGPT
Generate niche ideas in a category and spot an underserved angle
“ChatGPT gave him 200 niches to research”
Per source Self-reported by the source, not independently verified.
Copy-paste prompt
Give me 200 niche ideas within Amazon's Home & Kitchen category, grouped by room or use, with the main search term for each so I can check it in Brand Analytics.
The source didn't publish its exact prompt. We wrote this starter so you can try the same workflow. Replace anything in [brackets].
What they did
A seven-figure seller based in Dubai picks a category, asks ChatGPT for niches, then checks each in Brand Analytics and Helium 10 Magnet. For home and kitchen, a 'shower' search in Magnet led him to 'baby shower decoration'.
How it went
ChatGPT gave him 200 niches to research. The baby shower keyword he found had a steady 9,000 monthly searches, only about seven sellers of full sets, and almost all of them were blue for boys; ChatGPT added that about half of US newborns are girls, which pointed to the gap.
We only report what the source says. Results are self-reported unless noted.
Worth knowing
An interview on Helium 10's podcast; he doesn't say how the product did. The AI generated ideas and context; the demand and competition checks came from keyword data, which is the right split.