Can AI help me rank Amazon questions by buying intent?

Yes — AI can help you group and rank Amazon questions by buying intent.

A practical approach is to use NLP/LLMs to score each question based on how close it is to a purchase decision:

• High intent: compatibility, fit, included accessories, sizing, specs, installation, warranty
• Medium intent: feature comparisons, subjective quality questions, tradeoffs
• Low intent: off-topic questions, generic curiosity, complaints not tied to a purchase decision

Simple workflow

1. Collect the questions from your Amazon Q&A data or another compliant export/source.
2. Define an intent rubric with clear labels or a 1–5 score.
3. Prompt an LLM to classify each question and return structured output like JSON.
4. Review and sort by score so you can prioritize the questions most likely to affect conversion.
5. Use the insights to improve bullets, A+ Content, FAQs, and comparison tables.

Important caveat

Make sure any data collection method you use complies with Amazon’s terms and any applicable laws. If you use third-party scraping or browser tools, verify they’re currently allowed and suitable for your use case before relying on them. Also, AI ranking is best treated as decision support — it may be useful for prioritization, but you should validate the rubric and spot-check results before using them in business decisions.