An automated Google Maps review-response system for local service businesses.

For service providers like Serwisokien.co, or multi-location networks like Park Medical Clinic, staying on top of Google Maps reviews is both essential and exhausting. Miss a review, reply late, or reply inconsistently, and it shows: reviewers notice, and so do the people reading them later.

What we built

An automated review-response system for Serwisokien.co running on Make.com, Zapier, Google Sheets and an OpenAI assistant, tuned to the client’s own tone of voice. Here’s the flow:

• Capture and log. Zapier detects a new review the moment it lands and logs the content, rating and details into a central Google Sheet.
• Generate a reply. An OpenAI assistant trained on the client’s past responses drafts a reply, adjusting tone for praise, questions or complaints.
• Approve and adjust. Every draft goes through a quick approval step before it goes live, so the team can tweak anything that needs it.
• Post automatically. Once approved, the reply is published to Google Maps without anyone opening the dashboard.

The result

• Consistent voice, every time. AI-drafted replies stay on-brand regardless of who approves them.
• Real time savings. For a single-location business it saves hours a week; for a network like Park Medical Clinic (38 locations, roughly 5 reviews per location weekly) the collective saving runs past 47 hours.
• Faster engagement, since every review gets a timely reply instead of queuing behind whoever has time that day.
• A growing feedback archive in Google Sheets, making it easy to spot sentiment trends over time instead of losing them in Google’s own interface.

Takeaway

Reply quality doesn’t have to trade off against reply speed. Once the tone is trained in, the bottleneck disappears, and the reviews dashboard turns from a chore into a data source.