Can AI help me compare Amazon reviews by complaint type?

Yes — AI can help a lot with comparing Amazon reviews by complaint type. The basic idea is to group negative reviews into buckets such as packaging issues, sizing problems, durability, missing parts, or poor instructions, then compare how often each complaint appears across products.

A practical way to do it:

1. Collect reviews
   Export or copy the reviews you want to analyze, ideally the 1–3 star reviews for each product.

2. Ask AI to cluster complaints
   Use a prompt like:

   “Group these reviews into complaint types. For each type, give a short label, a rough count or percentage, and 2 example quotes.”

3. Compare products side by side
   Have the AI produce a table showing which product is most associated with each complaint type.

4. Use tools if you want automation
   There are also review-analysis tools and Amazon-adjacent features that may help with this automatically. For example, some third-party tools can group recurring negative phrases or generate complaint charts, and some product pages may show AI-generated review summaries. Because these features can change over time and may vary by region or account, check the current official source before relying on them.

For shoppers, this can be especially useful for spotting patterns like “great overall, but lots of complaints about sizing” versus “fewer reviews, but repeated durability issues.”

One caveat: if you’re scraping Amazon reviews or using automated tools, make sure your method complies with Amazon’s terms and any applicable laws.