Amazon Review Analysis AI Skill for Sellers | Editable XLSX, MD, CSV & PDF | Instant Download
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Turn a redacted Amazon review sample into a practical action plan. This Amazon review analysis tool and AI skill for sellers groups feedback by theme, counts unique reviews and links each recommendation to the evidence behind it.
Use the editable Excel workbook to define the sample, review duplicates, track contrary evidence and decide whether a finding calls for a listing edit, a product investigation or a packaging check.
Use an Amazon review analyzer for sellers with your own review data.
Start with authorized review rows containing a stable ID, product ID, date, rating and redacted text. The workflow separates eligible text reviews from repeats, out-of-scope rows and rating-only entries. Keep the sample window and limitations visible.
Make Amazon customer review analysis easier to verify.
Group complaints and positive feedback under clear themes. Count each eligible review once per theme and record its stance, evidence and sample share. A worked example shows why conflicting reports can support further testing without establishing a product-wide issue.
Turn Amazon product feedback analysis into seller actions.
Record which findings point to listing clarity, product behavior or packaging. Add a priority, owner and next check. Draft listing bullets or image notes only where verified specifications support the change.
What’s included in the customer ZIP?
- Start Here.pdf for setup, privacy preparation and the workbook walkthrough.
- Amazon Review Analysis - Installable Skill.zip with the Markdown skill for compatible setups.
- Complete Workflow.txt and Copy and Paste Prompts.txt for the full analysis or five standalone tasks.
- Review Import Template.csv and Action Matrix.xlsx for review intake, theme counts and follow-up actions.
- Worked Example Input.txt, Worked Example Review Data.csv and Worked Example Review Analysis.pdf for a fictional laptop stand example.
- Review Evidence Checklist.pdf and Commercial Use Licence.txt for evidence review and using the kit in your business or client work.
How does the Amazon review analysis workflow work?
- Prepare an authorized, redacted review sample and record its scope.
- Run the full workflow or one task in ChatGPT, Claude or Gemini.
- Check unique review counts, themes and contrary evidence in Excel.
- Prioritize actions and verify any proposed listing edits against product facts.
Who can use this review analysis kit?
It is designed for private-label sellers, brand owners, product teams and listing specialists reviewing buyer feedback on an existing product. Use a separate analysis for each product and marketplace.
Frequently asked questions
Can you group complaints from my Amazon review export and show what I should change in my listing?
Yes. Provide authorized, redacted review text and verified product facts. The workflow returns theme counts, prioritized actions and listing edits where the facts support them.
How does the workbook avoid counting the same review twice?
It flags repeated IDs marked for inclusion and counts each eligible review-theme pair once. One review may still appear under several different themes.
Does this Amazon review analysis tool collect live reviews or detect fake reviews?
The kit analyzes the review data you supply. Its purpose is to summarize feedback and support seller decisions. Review authenticity is outside the workflow.
Can I use the prompts without installing an AI skill?
Yes. Copy the full workflow or a standalone prompt into a regular ChatGPT, Claude or Gemini chat. Native installation depends on the assistant and your account setup. Use a current XLSX-compatible editor for the workbook.
Can I use this analysis kit for client work?
Yes. The licence allows you to deliver original completed analyses, action plans and listing recommendations to clients. The source kit is licensed to the purchaser.
Instant digital download. You receive one ZIP with 11 files. The worked example is fictional. Explore more AI agent skills for ecommerce sellers and creators.