Google Maps Review Analyzer
Turn customer reviews into actionable business insights. Analyze sentiment, identify themes, and get recommendations in seconds.
The Challenge
Manually reading through dozens or hundreds of Google Maps reviews is time-consuming and makes it easy to miss patterns. Whether you're researching competitors, evaluating potential locations, or monitoring your own business reputation, you need a faster way to extract meaningful insights from customer feedback.
What This Prompt Does
Fetch Reviews
Pulls real reviews from any Google Maps business listing
Categorize Sentiment
Sorts reviews into positive, negative, and neutral
Identify Themes
Finds recurring patterns across all reviews
Generate Insights
Creates actionable recommendations from the data
The Prompt
The Prompt
Task
Use @Google Maps/Location SearchName it "Google Maps/Location Search" and call it with @Google Maps/Location Search to find a business, then use @Google Maps/Location ReviewsName it "Google Maps/Location Reviews" and call it with @Google Maps/Location Reviews to analyze customer feedback and generate actionable insights.
Example: Analyze reviews for "Blue Bottle Coffee in San Francisco" to identify what customers love and what needs improvement.
Input
The user will provide a business name and location.
Example: "Starbucks in Downtown Seattle" or "The best pizza place near Times Square"
Context
What to Search For
Customer reviews that reveal:
- Overall sentiment (positive/negative/neutral)
- Recurring themes (service, cleanliness, wait times, product quality)
- Specific pain points mentioned repeatedly
- What customers love most
Search Strategy
- Search for the business location first
- Fetch 2-3 pages of reviews (approximately 40-60 reviews)
- Analyze patterns across all reviews, not just recent ones
What Counts as a Valid Result
- Only analyze reviews that were actually retrieved — never fabricate content
- Include direct quotes (shortened to <100 chars) to support findings
- If fewer than 10 reviews are available, note this limitation
Output
Return a structured analysis:
Executive Summary: One paragraph with overall sentiment score (1-5 stars) and key finding in bold.
What Customers Love: 3-5 bullet points with example quotes.
Pain Points: 3-5 bullet points with example quotes.
Recommendations: 3-5 actionable improvements based on the analysis.
Example Usage
Try asking:
- →"Analyze reviews for Blue Bottle Coffee in San Francisco"
- →"What do customers say about the Hilton in Times Square?"
- →"Compare review sentiment for the top 3 pizza places in Chicago Loop"