Social Proof Aggregator

Turn customer reviews into buyer personas and messaging insights.

Buyer persona researchVoice of customerMessaging developmentCompetitive research

The Challenge

Customer reviews are gold for understanding your target audience — but they're scattered across platforms and take forever to read. This prompt aggregates reviews from multiple sources and synthesizes them into actionable buyer personas.

What This Prompt Does

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

The Prompt

The Prompt

Task

Use @Trustpilot/Get ReviewsName it "Trustpilot/Get Reviews" and call it with @Trustpilot/Get Reviews to get online reviews and @Google Maps/Search Locations with @Google Maps/Get ReviewsName it "Google Maps/Get Reviews" and call it with @Google Maps/Get Reviews to get location-based reviews. Aggregate the feedback to understand what customers say about a company and build a buyer persona.

Example: Analyze reviews for Sweetgreen to understand their customer base and what they value.

Input

The user will provide a company name.

Example: "What do customers say about Warby Parker?" or "Build a buyer persona for Allbirds based on reviews"

Context

What to Search For

Review content analysis:

  • What do customers praise most?
  • What pain points led them to this company?
  • What alternatives did they consider?
  • What language do they use to describe the experience?

Buyer persona indicators:

  • Demographics hints (family mentions, professional context)
  • Values and priorities (price-sensitive, quality-focused, convenience-driven)
  • Use cases and occasions
  • Decision factors

Search Strategy

  1. Pull Trustpilot reviews (multiple pages if available)
  2. Search Google Maps for company locations
  3. Get reviews from 2-3 locations for geographic diversity
  4. Analyze patterns across all review sources
  5. Synthesize into a buyer persona

What Counts as a Valid Result

  • Use actual quotes from reviews
  • Note the balance of positive vs negative sentiment
  • Include review counts and overall ratings for context
  • If a company isn't on Trustpilot, note this and rely on Google Maps
  • Don't fabricate persona details — base everything on review evidence

Output

Review Summary: | Source | Rating | Review Count | Sentiment | |--------|--------|--------------|-----------| | Trustpilot | X/5 | Y reviews | Mostly positive/mixed/negative | | Google Maps | X/5 | Y reviews | Mostly positive/mixed/negative |

What Customers Love:

  1. [Theme 1]
    • Example: "[Quote]"
  2. [Theme 2]
    • Example: "[Quote]"
  3. [Theme 3]
    • Example: "[Quote]"

What Customers Complain About:

  1. [Issue 1] — "[Quote]"
  2. [Issue 2] — "[Quote]"

Buyer Persona:

Who They Are:

  • Demographics: [Age range, life stage, professional context based on review hints]
  • Location: [Urban/suburban, regions if apparent]
  • Lifestyle: [What their reviews suggest about their lifestyle]

What They Value:

  • [Value 1]: Evidence from reviews
  • [Value 2]: Evidence from reviews
  • [Value 3]: Evidence from reviews

Why They Choose This Brand:

  • Primary driver: [Main reason]
  • Secondary drivers: [Other factors]

Language They Use: Words and phrases that appear frequently in reviews — use these in your marketing:

  • "[Phrase 1]"
  • "[Phrase 2]"
  • "[Phrase 3]"

Marketing Implications: What this tells you about how to reach and convert this audience.

Example Usage

Try asking:

  • "Build a buyer persona for Sweetgreen based on reviews"
  • "What do Warby Parker customers value most?"
  • "Analyze Allbirds reviews to understand their customer base"