Introduction
Most sellers use AI like a glorified search engine. They ask it to “give product ideas” and get generic lists that are useless for making decisions. The correct use is different: extract market data, structure it and ask AI to detect patterns, repeated pain points and positioning gaps.
1. The correct workflow: data, AI and judgement
Useful research combines three layers. First: real data from Amazon, Shopify, Google Trends, reviews and competitors. Second: AI to analyse faster and summarise better. Third: human judgement to decide whether the opportunity fits your margins, capabilities and execution speed.
- Extract keywords, prices, reviews and BSR
- Paste that data into specific prompts
- Use AI to detect patterns, not invent them
2. Practical 5-step process
Define the category
Start with a small territory. Clear subcategory, specific price range and a defined buyer profile.
Extract data
Main keywords, top products, review count, price range and trend signals.
Analyse negative reviews
This is where the highest value sits. Negative reviews tell you what everyone promises and what almost everyone solves badly.
Validate demand
Cross-check the opportunity with Google Trends, seasonality and search behaviour. An interesting niche without momentum does not deserve inventory or focus.
Make a final score
Demand, competition, differentiation, margin and risk. If you cannot score it, you cannot decide it.
3. What to actually ask AI
Useful prompts do not ask “what should I sell?”. They ask things like: “identify dissatisfaction patterns in these 30 reviews”, “summarise common weaknesses of the top 5 players in the niche” or “propose three differentiation angles based on this data”. The difference is huge: you move from random ideas to actionable analysis.
Most people use AI to find niches. The best use it to rule niches out quickly and avoid wasting months on false opportunities.
4. Tools that actually make sense
- Helium 10 / Jungle Scout: to extract Amazon data
- Google Trends: to validate demand trajectory
- Claude / ChatGPT: to analyse and synthesise
- Similarweb / análisis competitivo: to understand traffic and positioning on Shopify
Conclusion
AI will not magically find you a “winning product”. It can help you research better, rule out bad ideas faster and detect angles others miss. If you feed it good data and ask specific questions, it saves you weeks of work and many expensive mistakes.
Do you want to validate an idea before investing?
In 30 minutes we can review your niche, your data and the logic behind the opportunity to see whether it makes sense to move forward or discard it.