Happy but silent
Satisfied customers rarely think to review unless someone asks at the right moment.
Every finished job triggers a perfectly timed review request. Happy customers go public on Google. Unhappy ones reach you first, privately, before a word goes online.
New reviews and intercepted feedback appear here.
The request went out while the great work was still fresh, and the customer acted on it immediately.
You did the job perfectly. The customer is thrilled. And Google never hears about it, because asking feels awkward and everybody forgets.
Meanwhile the one unhappy customer reviews immediately. That asymmetry decides your star rating.
Satisfied customers rarely think to review unless someone asks at the right moment.
Requests sent days later get ignored. The perfect window closes within hours.
Unhappy voices are the most motivated, and they are always first to post.
Staff forget to ask between jobs, and paper reminders go nowhere.
The agent times every request to the job and filters feedback before it ever reaches a public page.
Requests fire minutes after the job closes, exactly when goodwill is at its peak.
Four and five star feedback flows straight to your public Google page, automatically.
Low ratings reach the owner first, with an apology already on its way to the customer.
The agent thanks reviewers and responds to concerns inside the thread, same day.
Trends by crew, service, and neighborhood show exactly what drives your stars.
Every rating attaches to the job record, so feedback always has full context.
AI Savvy turns every finished job into public proof, while your team stays focused on the work itself.
Get a free reputation audit and see how many happy customers finish the job without ever leaving a review.