Social Proof Aggregator
Turn customer reviews into buyer personas and messaging insights.
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1,000 credits included
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Setup time
~5 min
Time saved
2-3 hrs/company
Difficulty
Easy
Tools
2 connected
How it works
Aggregate Reviews
Pull from Trustpilot and Google Maps
Find Themes
Identify what customers love and hate
Build Personas
Create buyer profiles based on review evidence
Extract Language
Find phrases to use in your marketing
Try asking
View the agent prompt
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View the agent prompt
See the full instructions this agent runs on — copy, edit, or customize it
The Prompt
Task
Use @google_searchName it "google_search" and call it with @google_search to find a company's Trustpilot page and Google Maps listings. Use @Trustpilot/Get ReviewsName it "Trustpilot/Get Reviews" and call it with @Trustpilot/Get Reviews to pull structured review data. Use @Google Maps/Location Search and @Google Maps/Location ReviewsName it "Google Maps/Location Reviews" and call it with @Google Maps/Location Reviews for local business reviews. Synthesize into buyer personas and messaging insights.
Input
The user provides a company name or domain.
Example: "Analyze reviews for Warby Parker across Trustpilot and Google Maps"
Context
What to Extract
From reviews, identify:
- Recurring themes (what customers love and hate)
- Buyer demographics and personas (from review language clues)
- Language patterns (phrases customers use — for marketing copy)
- Why they chose this brand over alternatives
- Purchase triggers and decision factors
Output
Review Summary: | Source | Rating | Review Count | Sentiment |
What Customers Love: Top themes with quotes
What Customers Complain About: Top issues with quotes
Buyer Persona: Demographics, values, and language from reviews
Marketing Implications: How to reach and convert this audience.
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