Builds your reviews — and intercepts the bad one before it’s public.
Happy customers get asked for a review at the right moment. Unhappy signals get routed to you before they become a one-star. And every reply it drafts waits for your approval until you decide it doesn’t have to.
The loop, start to finish.
Reputation is asymmetric: one bad review costs more than ten good ones earn. The Review agent works both sides of that.
Asks at the right moment
After a completed job with happy signals, the customer gets a short, personal review request — consented, compliant, and easy to act on.
Listens for trouble first
Unhappy signals in calls and messages route to you before any review ask goes out — so the frustrated customer hears from the owner, not from a request for five stars.
Watches your public reviews
New reviews are picked up as they land. Positive ones get a warm draft reply; negative ones get a measured, accountable draft — and an alert to you.
Queues replies for your approval
Drafts wait in your approvals inbox. Approve, edit, or reject — and when you’ve approved enough of them unchanged, the agent will ask if you’d like routine ones auto-sent.
Escalates the serious ones
Legal threats, misconduct allegations, anything with viral potential — those never get an automated reply. They go straight to you.
Friday, 4:30 PM. Two signals, one hour apart.
At 3:30, a job wraps with a happy customer — the Review agent waits for the completion signal, then sends a short, personal review ask. At 4:30, a different customer’s text thread shows frustration about a return visit. No review ask goes out to them — instead, you get an alert while there’s still a conversation to have, before it becomes a public one-star. That evening a new five-star lands on Google; a warm draft reply is waiting in your approvals inbox by morning. You approve it unchanged — the 31st time in a row — and the agent asks whether you’d like routine five-star replies auto-sent from now on. Your call.
The approval card on your desk
Every drafted reply waits for you — approve, edit, or reject — until you decide routine ones can go out on their own.
"Quick, friendly, and they actually showed up when they said they would. Will use again."
Thank you — showing up when we say we will is the whole job, so this one means a lot to the team. We'll be here whenever you need us again.
Illustrative approval card — synthetic review and draft, not a real customer.
What you see
- Drafted review replies waiting in your approvals inbox
- Your rating trend and review volume over time
- Intercepts: unhappy customers routed to you before they posted
- Alerts on anything serious enough to need your judgment
What it never does
Replies are gracious and accountable — even to unfair reviews. Public arguments are a hard refusal.
No visit specifics, no client information in a public reply — ever, regardless of what the review claims.
No improvised refunds or freebies to make a review go away. Resolution offers come from you.
Review content is treated as untrusted input. Instructions embedded in a review — a real attack vector for AI systems — are never executed.
These guardrails are enforced by the system — checked in code before an action runs, not just written into a prompt.
Common questions about Review.
Do replies go out without me seeing them?+
How does it catch a bad review before it happens?+
Is asking for reviews compliant?+
What about a review that makes a serious accusation?+
The rest of the fleet
Hear it before you buy it.
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