Step 1 — Automatic request
Every day at a set time the agent reviews your system or sheet, finds clients from the last 24 hours, writes a warm personalised feedback request and logs that it was sent.
Happy clients stay silent while unhappy ones post publicly — before you get a chance to react.
Satisfied clients rarely go back to leave a positive Google review; they simply move on with their day. An unhappy client, on the other hand, can post a negative review publicly before you even know there was a problem. Asking for feedback manually and monitoring responses takes time that disappears in daily operations.
An AI agent automates review collection after each service. It asks for feedback at the perfect moment, catches unhappy clients before they post publicly, and routes enthusiastic reviews straight to your Google Maps profile.
Every day at a set time the agent reviews your system or sheet, finds clients from the last 24 hours, writes a warm personalised feedback request and logs that it was sent.
Positive reply → the agent sends a thank-you with a Google Maps review link. Negative → an instant alert to the owner so the relationship can be saved. Neutral → a short thank-you, no noise.
After a treatment the client is asked how they feel — positive reviews strengthen the practice on the local map.
After each retreat the agent gathers participant feedback, protecting the centre's reputation.
After a booking, event or completed order the system asks about service and product quality.
Runs without you: Handles scheduling, sending and status tracking in a sheet or CRM.
Personalises every message: Each message is written naturally and in the context of the visit — never a rigid template.
Filters and protects your image: Acts as a safety buffer: difficult situations stay inside the company, enthusiastic reviews go public.
Integrates with Google Reviews: It can also monitor new reviews appearing on your Google business profile automatically.
When feedback is negative, the owner is alerted immediately — you get to respond before it becomes a public review.
Clients come back regularly, but book too late — by the time they call, the calendar is already full.
Read the caseA simple question like “how was traffic last week?” means logging into GA4 and hunting for reports.
Read the caseKnow-how stays in the founder's head, so the team keeps asking the same questions and onboarding drags on.
Read the case