AA19

More reviews, generated by AI

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.

TL;DR

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.

01How it works

More reviews, produced by a system.

01

Timing beats volume of asks

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.

02

Routing to the platform that matters

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.

03

Catching the unhappy customer first

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.

02Who it fits

Companies this applies to.

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.

04Measurement

Numbers that prove it moved.

Metric 01

Review velocity

New reviews per month by platform and by crew.

Metric 02

Request conversion

Share of completed jobs producing a posted review.

Metric 03

Average rating trend

Movement over time, segmented by service line.

Metric 04

Recovery saves

Unhappy signals resolved before a public post.

What a build costs
One-time build. $500 to $10k.

Scope drives the number. Systems, trades, and custom pieces are all listed on the pricing page.

See pricing →
05FAQ

Questions owners ask about this.

Is this compliant with platform rules?

Requests go to real customers after real work, with no incentives or gating that violate platform policy.

Can requests be crew-specific?

Yes. Attribution by crew or technician shows where service quality drives the rating.

What happens with a one-star risk?

Negative sentiment routes to a manager with the job history attached, ahead of any public post.

Does it help ranking in the map pack?

Review recency, volume, and response rate are ranking inputs. Movement gets tracked alongside booked job volume.

Can review responses be drafted?

Drafts arrive in the company's voice, with sensitive cases held for approval.

[ Ready ]

More Reviews With AI, built around the way the company runs.