More reviews without asking manually
Verified job completion triggers the request while the work is fresh.
Review generation that runs after verified work
Reviews decide which company a homeowner calls first. AA19 asks at the right moment, routes to the platform that matters, and catches unhappy customers before a public post exists.
01Outcomes
What changes in the business.
Reviews on the right platform
Requests route to Google, Facebook, or an industry site based on where the company needs volume.
Fewer public complaints
Negative sentiment routes to a human for resolution before a review gets written.
Responses that stay consistent
Review replies draft in the company's voice and post after approval.
02Examples We Can Build
Pieces that ship in a build like this.
- 01Post-completion review requests
- 02Photo-attached review prompts
- 03Platform routing rules
- 04Negative sentiment interception
- 05Review response drafting
- 06Technician-level review tracking
- 07Reputation dashboards by location
- 08Referral offers attached to happy customers
[ 04 / The System Underneath ]
A system that learns the operation.
Automation with no memory repeats the same mistake at scale. AA19 preserves the correction, verifies output against the standard, and keeps a record of anything executed without a person. Governance stays with the owner: spend caps, approval thresholds, and escalation rules.
05FAQ
Questions owners ask about this.
When does the request go out?
After verified completion and, where relevant, confirmed payment, at the hour with the highest response rate.
Does it prevent bad reviews?
It routes unhappy signals to a person first. Resolution beats suppression, and the outcome gets logged.
Can it track reviews by crew?
Yes. Review volume and rating by technician or crew show up in reporting.
Will it respond to reviews?
Drafted replies follow the company's tone and post after approval.