Property & Real Estate · Real Estate Agents & Brokerages

AI Agent for Agency Reviews

Asks both sides for a review at completion while the relief is fresh, names the person who actually did the work, and routes an unhappy reply to a manager before it is published.

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How it works
1 Step
Ask on the day
2 Step
Read the answer before pointing anywhere
3 Step
Come back for referrals
Completion triggers the request to both parties, naming the negotiator and progressor involved rather than sending it from the agency generally.

Overview

One good day at the end of a long and stressful process.

An AI agent for agency reviews handles the moment a transaction completes: it asks the seller and the buyer for a review while the day is still going well, names the negotiator or progressor who carried the work, points at whichever listing the agency wants to build, catches a dissatisfied response and routes it to a manager instead of a review site, and revisits the relationship later for referrals. Estate agency has an unhelpful review dynamic: the process is long and anxious, so the people most motivated to write something are the ones a chain collapsed on, while the satisfied majority never get asked. Completion day is the one point where that asymmetry can be corrected, and it lasts about forty-eight hours.


Capabilities

What the Reviews Agent does

Asks the satisfied majority who currently never get asked.

01

Asks at completion, while the relief of the day is still present

02

Names the individual who handled the sale or the progression

03

Asks both sides of the transaction, not only the seller

04

Points at the platform the agency is currently building

05

Routes an unhappy reply to a manager rather than a review site

06

Returns later to ask about referrals rather than bundling both

Why you should use the Reviews Agent

A homeowner choosing which agencies to invite for a market appraisal reads reviews first, and a thin or negative profile removes you from the shortlist before any pitch happens. That makes review volume a direct input to appraisal volume, which is the number everything else in a sales agency follows from. The asking has to be timed and specific: a request sent at completion, naming the person the client actually dealt with, converts at a completely different rate from a generic message a fortnight later. The routing matters just as much. A client who is unhappy will write something eventually, and the difference between a manager hearing it first and a review site hearing it first is often the difference between a resolved complaint and a permanent one-star.

Before
Reviews are requested when somebody remembers, if at all
The satisfied majority are never asked
Only sellers are asked, and buyers are ignored entirely
Unhappy clients go straight to a public platform
The profile does not reflect how most transactions actually went
After
Every completion triggers a request within the useful window
Requests name the person who did the work, which lifts response
Both sides of the transaction are asked
Dissatisfaction reaches a manager while it is still fixable
The public profile matches the ordinary experience of using you
Process

How it works

A three-step flow triggered by completion.

Step 01

Ask on the day

Completion triggers the request to both parties, naming the negotiator and progressor involved rather than sending it from the agency generally.

Step 02

Read the answer before pointing anywhere

A positive response gets the review link. Anything lukewarm or negative goes to a branch manager, and no public platform is mentioned.

Step 03

Come back for referrals

Weeks later, once the client has settled in, it asks separately about anybody else considering a move, so the two requests never compete.


Example

Example workflow

A completion day on a sale that took five months.

Scenario: an agency was asking for reviews inconsistently, mostly when a negotiator felt a sale had gone well, and had a public profile weighted towards complaints. A sale completes on a Friday after five months and one near-collapse. That afternoon the agent messages the seller, naming the progressor who held the chain together in month four, and asks whether she would be willing to say a few words about how it went. She replies warmly, and gets the review link. It also messages the buyer, who replies that he found communication poor in the early weeks — that response does not receive a link. It goes to the branch manager, who calls him on Monday, hears a fair criticism about the offer stage, and apologizes. The buyer does not write a public review. Six weeks later the seller is asked separately whether she knows anybody thinking of moving, which is a different question and now has a satisfied client behind it.

Missed-Call & Booking Automation AirtableTwilio SMSGmailGoogle Sheets AI Agent flow

Audience

Who can benefit

Anybody whose next instruction depends on a public profile.

✍️ Estate agency owners

Review profile decides which agencies get invited to appraise at all.

💼 Branch managers

Hearing a complaint before it is published is worth more than any reply.

🧠 Sales negotiators

Named reviews build a personal reputation that follows you.

Sales progression teams

The hardest work happens at progression and is almost never credited.

🎯 Lettings teams

Move-in is the equivalent moment and is missed just as consistently.

📋 Marketing teams

Review volume is a compounding asset and currently arrives at random.

Integrations

Triggers on completion, reads the reply, routes the unhappy ones.

Airtable

Holds completions, who worked the transaction and request outcomes.

Twilio SMS

Sends the request on the day and receives the first reply.

Gmail

Carries the longer written request and the later referral follow-up.

Google Sheets

Tracks request, response and publication rates by branch and person.

Google Drive

Stores the wording variants the agency has approved for each stage.

Slack

Escalates any lukewarm or negative reply to the branch manager.

Applications

Best use cases

The window where a client will actually write something.

Completion day, when the relief is at its highest
Buyers, who are routinely never asked at all
Transactions where a progressor rescued a difficult chain
Catching dissatisfaction before it reaches a public platform
Move-in day on the lettings side of the business
Referral requests kept separate from review requests

FAQ

FAQ

Questions about building a profile that reflects your work.

An AI agent for agency reviews handles the moment a transaction completes: it asks both parties for a review while the day is still going well, names the person who did the work, catches a dissatisfied response and routes it to a manager, and returns later to ask about referrals.

Because the emotional peak is that day and it decays fast. A week later the client is unpacking boxes and dealing with utilities, and the agency has become part of a stressful period they would rather stop thinking about. The window is genuinely about forty-eight hours.

Routing a complaint to a manager first is ordinary service recovery and entirely proper. What is not proper is preventing somebody leaving a review, and the distinction is whether you are offering to fix the problem or obstructing the feedback. Never obstruct it.

Response rates are markedly better because the request reads as personal rather than corporate, and the reviews themselves are more useful — a named review describing what somebody actually did is far more persuasive to a prospective seller than a general compliment.

Yes, and most agencies skip them entirely because the seller is the fee-paying client. But buyers become sellers, they read reviews when they do, and a buyer who was treated well is describing a side of your service that no seller can speak to.

It can, and it should not. Two asks in one message reduce the odds of getting either, and a referral request lands better weeks later when the client has settled in and the move has become a good memory rather than a recent ordeal.

Then the request should not go out automatically, and completions with a known complaint should be excluded from the trigger. Asking somebody to review a service they are unhappy with, on the day it ends, is a reliable way to produce exactly the review you did not want.


AI Agent for Agency Reviews

Asks both sides for a review at completion while the relief is fresh, names the person who actually did the work, and routes an unhappy reply to a manager before it is published.

Start from this template
Edit it — the agent is built from this briefBuild this agent