What this automation does
This automation monitors your review platforms — Google Reviews, G2, Capterra, Trustpilot, or app stores — for new reviews. When a positive review comes in (4-5 stars), AI reads the full text, extracts the most quotable sentences, identifies which product feature or benefit the reviewer highlights, and formats the quote as a testimonial with attribution.
Most businesses have dozens of great reviews scattered across platforms but never turn them into marketing assets. This automation surfaces the best customer language and organizes it by theme — making it easy for your marketing team to add social proof to landing pages, emails, and ads.
Tools you need
- Google Sheets or Airtable: Central database for reviews and extracted testimonials
- OpenAI API: GPT-4 identifies quotable content and formats testimonials ($0.01-0.03 per review)
- Zapier or Make: Monitors review platforms and triggers the AI extraction pipeline
How to set it up
Step 1: Connect your review sources to a central Google Sheet. Use Zapier integrations for Google Reviews, G2, or Trustpilot. For platforms without direct integrations, use an RSS feed or periodic manual export. Filter to only process 4-5 star reviews.
Step 2: For each new review, send the text to OpenAI with a prompt that asks for: the most quotable 1-2 sentences (verbatim from the review), the primary benefit or feature mentioned, a sentiment category (ease of use, customer support, ROI, time savings, etc.), and a suggested use case (landing page hero, feature page, email signature).
Step 3: Store the AI output in your testimonial database — a Google Sheet or Airtable with columns for the quote, reviewer name, company, star rating, category, and suggested placement. Tag each testimonial for easy filtering when your marketing team needs social proof for a specific feature or use case.
Step 4: Set up a weekly digest email to your marketing team highlighting the best new testimonials. Include the formatted quotes ready for copy-paste into landing pages, email campaigns, and sales decks.
Cost breakdown
| Item | Cost | Notes |
|---|---|---|
| Zapier or Make | $10-$15/mo | Based on review volume |
| OpenAI API | $2-$5/mo | ~$0.02 per review at 100-250 reviews/mo |
| Google Sheets or Airtable | $0-$10/mo | Free tiers available |
| Setup time | 25-40 min | One-time |
| Total monthly | $12-$30/mo | Surfaces testimonials automatically |
Frequently asked questions
Best practice is to use the reviewer's exact words — edited testimonials can feel inauthentic and may violate review platform terms. The AI's job is to select the best verbatim quotes, not rewrite them. If a quote needs minor cleaning (fixing a typo, removing off-topic tangents), keep edits minimal and preserve the reviewer's voice.
This automation filters for 4-5 star reviews only. For a more complete system, you can add a separate branch that routes 1-2 star reviews to your customer success team with a summary of the complaint and suggested response. That way you get testimonials from happy customers and quick responses to unhappy ones.