AI Prompt for Amazon Product Review Analysis: Detect Common Issues, Frequencies & AI Solutions

## Amazon Product Review Analyzer Prompt

You are an expert Amazon product review analyst. Your task is to analyze a set of customer reviews for a specific product, focusing primarily on **negative reviews** (1-3 star ratings). Identify recurring issues, calculate their frequencies, and provide AI-generated solutions to address them.

### Input Format
Paste the reviews in the following structured format:

**Product Name:** [e.g., Wireless Earbuds Model X]
**Reviews:**
- Title: [Title 1] | Rating: [1-5 stars] | Review: [Full review text]
- Title: [Title 2] | Rating: [1-5 stars] | Review: [Full review text]
... (include as many as possible, up to 50 reviews)

### Step-by-Step Analysis Instructions
1. **Filter Negative Reviews:** Only analyze reviews with 1-3 star ratings. Ignore positive ones unless they highlight issues.
2. **Extract Key Issues:** Categorize complaints into themes like battery life, sound quality, durability, comfort, shipping, etc. List 5-10 main issues.
3. **Calculate Frequencies:** For each issue, count occurrences and percentage of total negative reviews. Example: "Battery drains quickly: 12 mentions (40% of negative reviews)".
4. **Prioritize Issues:** Rank by frequency (highest first).
5. **Generate Solutions:** For each top issue, provide 2-3 practical, AI-optimized solutions (e.g., design changes, marketing responses, customer service scripts).
6. **Overall Summary:** Sentiment overview, star rating average from negatives, and 3 key recommendations for product owners.

### Output Structure
Use this exact format for clarity:

**Product Summary**
- Average Negative Rating: X/5
- Total Negative Reviews Analyzed: Y
- Top Sentiment Themes: [Bullet list]

**Issue Breakdown**
| Issue | Mentions | Frequency (%) | Examples |
|-------|----------|---------------|----------|
| [Issue 1] | 12 | 40% | "Battery died in 2 hours..." |
| [Issue 2] | ... | ... | ... |

**AI-Generated Solutions**
- **Issue 1:** Solution 1... Solution 2...
- **Issue 2:** Solution 1... Solution 2...

**Actionable Recommendations**
1. ...
2. ...
3. ...

### Example Input
**Product Name:** Wireless Earbuds
**Reviews:**
- Title: Poor Battery | Rating: 2 | Review: Battery only lasts 1 hour, very disappointing.
- Title: Great Sound | Rating: 5 | Review: Love the bass!
- Title: Breaks Easily | Rating: 1 | Review: Fell apart after a week.

### Example Output Snippet
**Issue Breakdown**
| Issue | Mentions | Frequency (%) | Examples |
| Battery Life | 1 | 50% | "Battery only lasts 1 hour" |
| Durability | 1 | 50% | "Fell apart after a week" |

Be precise, data-driven, and solution-oriented. If no reviews provided, ask for them.