The ask that actually happens, every time
Asking every customer, at the moment the work is fresh in their mind, is a simple idea that fails purely on consistency. Automating it removes the only failure mode it has.
Reputation · Reviews on autopilot
The moment a job wraps, the AI texts the customer and walks them one tap to your Google review page. No chasing, no forgetting. Everyone gets the same link, whatever they scored, because asking only the people you expect to be kind is review gating and Google's policy rules it out. A low score gets the link and a private message from you as well, so you hear about a problem the day it happens instead of reading it later.
Assistant
Hi Marcus, glad the closing went through today. Quick one: how did we do, one to five?
Visitor
4. everything was fine, the lender just took forever to send the clear to close
Assistant
That is worth knowing, thank you. I have sent the lender point straight to Levan and he will call you today. Here is the Google link too, if you want to say that in your own words: [link]
Visitor
will do
Every customer gets this link, whatever they scored. What a low score adds is the private message to the owner, sent the same minute.
74%
of consumers look for reviews written in the last three months
Reviews are read before they are ever mentioned, and the ones people read are the recent ones. This asks every customer at the moment the work is fresh in their mind, which is the only moment the ask actually works, and a steady trickle is worth more than a good year three years ago.
What it is
It is the review request that never gets sent. Every business knows it should ask, almost nobody asks consistently, and the ones who do ask late, when the customer has moved on and the enthusiasm has cooled.
The AI texts the customer at the moment the job wraps, which is the only moment the ask actually works, and takes them one tap to your Google review page. Every customer gets that link, including the ones who were not thrilled, because only asking the people you expect to be kind is review gating, and Google's policy names selectively soliciting positive reviews as something merchants may not do.
What the score changes is what happens on your side. A low answer opens a private message to you at the same time as the link goes out, so the thing that went wrong reaches you the day it happened, while it is still something you can put right. That is a better outcome than a suppressed review, and it is also the only version of this that is allowed.
How it works
Not next week. Enthusiasm has a half-life, and an ask that lands after somebody has moved on does not produce a worse review, it produces no review.
A text with a direct link to your Google review page. Every extra step between the ask and the review costs you a share of the people willing to leave one.
The review page goes to every customer, whatever they scored. Only asking the ones you expect to be kind is review gating, and Google's contribution policy lists selectively soliciting positive reviews as a thing merchants may not do.
As well as the link, not instead of it. A low answer pings you with what they said and who said it, the same minute, so you get to make the call before the week is out rather than finding out from the review.
Use cases
Asking every customer, at the moment the work is fresh in their mind, is a simple idea that fails purely on consistency. Automating it removes the only failure mode it has.
A steady flow of recent reviews reads as a business that is busy right now, which is the thing a prospect is silently checking for.
A four with a straight reply under it reads more honestly than a wall of fives, and the customer who got a call about it often comes back and edits it themselves. What changes is that you heard about it on the day.
Asking everyone produces a mix, and a mix is what a real business looks like. Prospects read the low reviews and the replies to them first, which is the part a filtered profile cannot give you.
Limits
Every other section on this page is selling you something. This is the one that says where it stops. If a vendor cannot tell you this about their own product, you have learned something anyway.
See it live
Everything on this page is a node on the RealtyLT AI page: a galaxy that reshapes into a brain, with every service hanging off the core. Open the Review Automation node to read the same thing in its own habitat, and talk to the chat assistant while you are there, because that one is genuinely live.
Questions
The questions people actually ask about Review Automation, answered the way we would answer them on the phone. If yours is not here, ask us and we will add it.
Ask every customer, by text, at the moment the job finishes, and make it one tap to the review page. The reason most businesses have few reviews is not that customers are unwilling, it is that the ask is inconsistent and late. Volume and recency both matter: in BrightLocal's Local Consumer Review Survey 2026, run on a panel of 1,002 US adults, 47% said they would not use a business with fewer than 20 reviews and 74% said they look for reviews written in the last three months. That is a survey by a company that sells review software, so treat it as what people say they do rather than as a measurement of what they did.
Asking every customer for an honest review is fine, and automating the timing of that ask does not change it. What is not allowed is incentivising reviews, or only asking the people you expect to leave a good one. Google's contribution policy lists, under what merchants may not do, discouraging or prohibiting negative reviews or selectively soliciting positive ones. So this sends the same link to everyone, whatever they scored, and the score decides what reaches you privately rather than who gets asked.
Review gating is surveying customers first and only sending the public review link to the ones who answered well. It is common, it is usually sold as catching problems early, and it is the specific practice Google's policy rules out. Screening feedback so you can fix things is fine. Screening who is allowed to review you is not, and the difference is whether the unhappy customer still gets the link.
You get told immediately, with their score and what they wrote, and they get the review link like everybody else. The private message is what buys you the chance to make it right the same day. Doing that well is worth more than a suppressed review, and a four with your answer under it is more persuasive to the next prospect than a page of fives.
Yes. Recent reviews can be pulled through to your site automatically, shown and labelled as a selection of recent reviews rather than as the whole set. That wording matters: the FTC's rule on consumer reviews, 16 CFR 465.7, is about misrepresenting a review block as representing most or all of what customers submitted while quietly holding back the low ones. A labelled selection is honest. A reviews section that implies it is everything is not.
Read more

August 25, 2026
Twelve five-star reviews, the newest from 2023, and the client who never told you she looked. What review automation actually does, exactly where Google's line between asking and gating falls, and what one extra star was worth in the one study that measured money instead of opinion.

July 13, 2026
The manual step takes ninety seconds. In the study that timed it, getting back to interrupted work averaged twenty five minutes when it resumed the same day. Here is what workflow automation actually removes from a real estate business, how to find your own version of it in an hour, and the failure mode nobody warns you about.
Tell us what you do today and we will tell you honestly whether this is the right place to start. If it is not, we will say which one is.

Also built
Website AI Assistant
The assistant your visitors actually talk to
Voice · Inbound + Outbound
AI that answers the calls, and makes them
Prospecting · Skip-trace + Lead-gen
Raw addresses become reachable people
The Singularity · the tipping point
The point where it starts improving itself
Agent Workforce · On-demand LLM assistants
An assistant for every recurring job
AI Clone · Video + Voice + Memory
A second you, working around the clock