What it does
It automatically detects and captures client praise from emails, messages, reviews, and surveys into a searchable library tagged by service, outcome, and use permission. You’ll never lose a great testimonial or scramble to find the right social proof again.
Why I recommend it
Great testimonials arrive unexpectedly in random places and get buried or forgotten. A vault ensures every piece of praise is captured, organised, and ready to use in proposals, marketing, and sales conversations.
Expected benefits
- Never lose valuable testimonials again
- Find the right proof for any prospect quickly
- More compelling marketing with real client language
- Less time hunting through old emails and chats
How it works
Praise detected in email, review, survey, or message → AI extracts the testimonial and key details → stores in database with tags (service type, outcome, industry) → prompts for permission to use publicly → makes searchable by keyword or tag.
Quick start
Create a simple spreadsheet with columns: Client Name, Quote, Service, Outcome, Permission Status, Date. Manually copy paste praise as you spot it. Once you have 20 – 30, automate the detection and storage.
Level-up version
Use AI to detect praise language automatically across email and chat. Send an automated permission request when great testimonials are captured. Create a public-facing library or widget that pulls from your vault.
Tools you can use
Storage: Airtable, Google Sheets, Notion
Email: Gmail, Outlook
AI: ChatGPT, Claude (for detection and extraction)
Forms: Typeform, Tally (for permission requests)
Automation: Zapier, Make, n8n
Technical implementation solution
- No-code: Email or survey trigger → AI step detects positive sentiment → extract quote and details → add row to Airtable/Sheets → send permission request form → update permission field.
- API-based: Email/messaging webhook → AI API analyses for praise → structured extraction → database API stores record with tags → email API requests permission → update record when granted.
Where it gets tricky
- Accurately detecting genuine testimonials vs. polite pleasantries
- Extracting context without losing meaning
- Tracking permission status reliably for legal compliance
