Local search rewards recent reviews, and homeowners read them before dialing. Asking well is a timing problem: the request has to land while the driveway still looks new. AA19 builds the trigger, the routing, and the recovery path into the job workflow.
AI generates more reviews by triggering a request after verified job completion and payment, routing the customer to the platform that drives local ranking, and sending negative signals to a human before a public post exists.
Crews finish a job and drive to the next one. The review request depends on a technician remembering at the exact moment a customer feels good about the work, which means it happens on some jobs and not on others. Weeks later, a generic email arrives and converts poorly.
Local ranking rewards recency and steady volume, so a burst of reviews after a push followed by four quiet months reads as a stalled business. Meanwhile, unhappy customers post without warning, since nothing catches dissatisfaction before it reaches a public profile.
A review request sent three weeks after service converts poorly. Sent within an hour of a verified completion, with a photo of the finished work attached, conversion multiplies.
Triggers tie to real events: payment cleared, inspection passed, warranty registered, final walkthrough signed. Nothing fires on an unfinished job.
Google Business Profile drives the map pack for a trade. Some verticals also live on Angi, Yelp, Houzz, Avvo, or Healthgrades. Requests route by trade and by customer channel preference.
Review velocity and rating get tracked against local ranking movement, so the effort connects to booked jobs instead of a vanity count.
Sentiment checks and service exceptions route a dissatisfied customer to a manager before a public post exists. Recovery beats damage control.
Responses to posted reviews get drafted in the company's voice, with anything sensitive held for approval.
Everyone selling locally. Trades competing in the map pack, cleaning companies proving trust for in-home access, dentists and med spas where reviews carry clinical weight, law firms where a single review shapes intake, pest control and landscaping on recurring contracts, and real estate agents living on reputation.
More estimates out the door
Denser routes, lower fuel
Quotes without a phone tag loop
Maintenance base stays full
No missed emergency calls
First on the street after a storm
Plans renew quietly
Fuller hygiene schedule
Consultations booked from every inquiry
Leads answered in minutes
New reviews per month by platform and by crew.
Share of completed jobs producing a posted review.
Movement over time, segmented by service line.
Unhappy signals resolved before a public post.
| Area | Manual approach | AA19 system |
|---|---|---|
| Trigger | A technician remembers to ask | Verified completion, payment cleared, or inspection passed |
| Timing | Days or weeks after the visit | Inside the window when the finished work is still fresh |
| Platform routing | Whichever link is handy | Routed by trade and customer channel preference |
| Unhappy customers | Discovered after the post goes public | Sentiment signals routed to a manager first |
| Responses | Written when the owner has time | Drafted in the company voice, sensitive cases held for approval |
| Attribution | Unknown | Tracked by crew, service line, and platform |
Scope drives the number. Systems, trades, and custom pieces are all listed on the pricing page.
Requests go to real customers after real work, with no incentives or gating that violate platform policy.
Yes. Attribution by crew or technician shows where service quality drives the rating.
Negative sentiment routes to a manager with the job history attached, ahead of any public post.
Review recency, volume, and response rate are ranking inputs. Movement gets tracked alongside booked job volume.
Drafts arrive in the company's voice, with sensitive cases held for approval.
Builds run 500 to 10,000 dollars one time. A completion-triggered request flow with Google routing sits at the low end. Adding sentiment recovery, multi-platform routing, response drafting, and crew attribution moves it up.
Triggers pull from the field software and payment processor already recording completion, so requests fire on real events rather than a manual list. Google Business Profile and the vertical platforms relevant to the trade connect for posting and response.
Messages get built from the company's own language and tied to the specific job, including the crew name and the work performed. Conversion by message variant and channel gets tracked, and weak variants get retired.
Service exceptions and negative sentiment stop the request and route the account to a manager with the job history attached. Recovery happens through a conversation, not through hiding the customer from a review platform.
One to three weeks in ordinary cases, since the triggers already exist inside the job workflow. Multi-platform routing and response drafting add time, mainly for tone approval.
All eight outcomes: More estimates, More booked jobs, Fewer missed calls, Less admin, Better follow-up, More reviews, Happier customers, Less time in the office.
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