Trust
Real customer phrases, drafted into testimonials
Twenty usable testimonials a year, drawn from words your customers already wrote.
The bottleneck isn't writing testimonials — it's collecting them with enough specificity. The workflow harvests what customers already said, in their voice.
What happens
Connect review platforms (Google, Facebook), email replies, or a post-visit survey.
Workflow mines patterns across the last 50+ replies and flags specific moments customers keep mentioning.
Same workflow drafts a clean 28-word testimonial line in the customer's voice from their actual reply.
Send the draft to the customer for approval. Eight out of ten approve as-written.
Included
- Testimonials drawn from real words, not invented
- Customer approval flow keeps GDPR and trust intact
- Goes from 3 usable testimonials a year to 20+
When this becomes bigger
If this workflow starts touching inventory, staff, dashboards, customer history, or several locations, move into a custom AI system.
Questions
Plain answers before we build.
Are these real testimonials?
Yes — every line is drawn from a real customer reply, with the customer's approval before it goes on the page.
What if customers don't approve?
About 8 out of 10 do. The ones who don't usually want a small edit, which we run by them again.
Can it pull from voice notes?
Yes. WhatsApp voice notes, post-visit recorded replies, audio survey responses — all transcribed and processed.