By job · 4 posts
Research & competitors
Market research, review analysis, competitor monitoring and choosing your AI tool stack.
The real risk in using AI for market research is a complete-looking picture of market size and competitors that goes straight into a purchase order without anyone checking the sources. Label every conclusion as fact, inference or assumption, and link each key number to its original page.
Reviews and competitor pages work the same way: let AI label themes, summarise changes and collect evidence, and keep the judgement with a person. Turn reviews into structured data before analysing them, and monitor only the competitor fields that would change a decision.
Playbooks
2 posts- 7 minPlaybooks
Monitoring Competitor Prices and Listing Changes with AI
Decide what change triggers what action, collect through official channels and sampling rather than aggressive scraping, and let AI summarise diffs, not decide.
- 7 minPlaybooks
Analysing Customer Reviews at Scale with AI: Causes and a Fix List
Turn reviews into checkable data, let AI apply fixed labels with evidence, then rank fixes by frequency, impact and how much you control.
Comparisons
2 posts- 7 minTool comparisons
Perplexity vs ChatGPT for Product Sourcing and Market Research
The danger isn't that AI won't answer; it's a complete-looking market picture nobody traced back to a source. A three-round research method with two ready prompts.
- 7 minTool comparisons
How to Build an AI Tool Stack for Cross-Border Ecommerce
Instead of "which AI tool is best," group by the scenario you actually run into (writing, automation, visuals, follow-ups) and pick per group.
Common questions
Perplexity or ChatGPT for product market research?
Use Perplexity to find current material fast and build a source list. Use ChatGPT Deep Research when you need to combine web pages, specified sites, uploaded supplier quotes and your own sales data into one report. A small team can do both in sequence, then let a named person make the buying decision after the sources have been checked. Read more →
How do I analyse thousands of customer reviews with AI?
Strip personal data, de-duplicate, and group by SKU, market and month. Have a person define labels from a sample of 100 to 200 reviews, then ask the model for fixed fields per review, including a supporting phrase so you can spot-check its work. Rank themes by frequency, impact and controllability, and give each one an owner and a metric. Read more →
Which AI tools should a cross-border seller start with?
Don't adopt every tool at once. Pick the one scenario costing your team the most time, usually customer support or supplier follow-ups, get it working, then move to the next. ChatGPT or Claude cover the writing jobs, Zapier or Make handle repetitive steps with clear rules, and Midjourney and Canva help with scenes and layouts around a real photo. Read more →
Topics
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