Easy

Google Maps Review Analyzer

Turn customer reviews into actionable business insights. Analyze sentiment, identify themes, and get recommendations in seconds.

Works with:Google MapsGoogle Maps

Free to start

1,000 credits included

No credit card required

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Setup time

~5 min

Time saved

2-3 hrs/location

Difficulty

Easy

Tools

1 connected

How it works

1

Fetch Reviews

Pulls real reviews from any Google Maps business listing

2

Categorize Sentiment

Sorts reviews into positive, negative, and neutral

3

Identify Themes

Finds recurring patterns across all reviews

4

Generate Insights

Creates actionable recommendations from the data

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

View the agent prompt

See the full instructions this agent runs on — copy, edit, or customize it

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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

  1. Search for the business location first
  2. Fetch 2-3 pages of reviews (approximately 40-60 reviews)
  3. 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.

WHAT ARE YOU WAITING FOR?

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