Lyron
Operations

Automated Google Review Requests

After every completed job a short request for a review goes out – to every eligible customer, not only the ones you expect to be happy. Anyone with an open complaint, an objection on file or a request already sent this year never makes the list.

Context

Ask nobody and you only hear the annoyed

Almost nobody writes a review unprompted. It takes a reason strong enough to sit down in the evening and open a Google account, and irritation is a far stronger reason than satisfaction. The customer whose boiler has run quietly for three weeks has stopped thinking about you; the one whose engineer turned up two hours late has not. So a profile nobody has ever asked for does not show the average of your work. It shows the average of the jobs that annoyed someone enough to act.

The hard part is not the sending, it is knowing when a customer is actually finished. A job the system marks as done may still carry an open complaint, an unpaid final invoice or a second visit booked for Tuesday. Ask at that moment and the silence would have been cheaper. On top of that, the same person sits in three systems at once – the diary, the invoice, the ticket – so without one leading system and a memory of who has already been asked, a friendly request becomes a series within a few weeks.

Then there is the line you may not move. Asking about satisfaction first and sending the review link only to the happy ones is the obvious idea, and it is exactly what Google forbids as review gating; so is anything handed over in return for a review. That leaves three levers: ask every eligible customer rather than only the vocal ones, get the timing right, and route complaints to a person who answers them before they become public. Those three are what this page is about.

Use cases

When asking makes sense

We start with the completion that occurs most often and has the clearest moment. Further occasions later share the same suppression list and the same channel.

Most common starting point

After an on-site job

The most common starting point: the engineer closes the job, the request follows two hours later – but only if no return visit or open item hangs on it.

Job closedTwo-hour waitNo return visit

After delivery or collection

In retail the delivery status counts, not the order date. Let the returns window pass as well, or you are asking into a parcel on its way back.

Delivery confirmedReturns windowFirst order

Several locations and branches

Every location has its own business profile and its own link. The wrong one credits head office and leaves the branch that did the work empty-handed.

Location IDOwn review linkReporting per branch

After a resolved service case

Only for tickets closed without escalation or reopen. A case that dragged on is a poor moment to ask, even if it ended well.

Ticket resolvedNo escalationFirst-contact fix

After advice or treatment

For law firms, practices and consultancies the wording decides: no case reference, no name in the text, nothing that hints at the matter.

DiscretionNo case referenceOnce per matter

After recurring appointments

Maintenance contracts and subscriptions produce a completion every quarter. Without a cooling-off period the same customer is asked four times a year.

12 months between requestsRecurring visitOne contact per household
Example

What changes on the profile – and who gets asked tonight

On the left the profile as it forms when nobody asks, on the right the same profile after a quarter on paper. Below it one day of the suppression list: seven completed jobs and the decision the workflow reaches on each.

Profile without requests 3.4 34 reviews

  1. 514
  2. 45
  3. 33
  4. 24
  5. 18

The same profile, one quarter on paper 4.0 72 reviews

  1. 541+27
  2. 412+7
  3. 35+2
  4. 25+1
  5. 19+1

A worked example, not a promise: 120 completed jobs a month, roughly 100 requests once the suppression list has run, over one quarter – and the assumption that one in eight recipients writes something. Change that assumption and the right-hand side changes with it. Nobody knows your own rate before the first month.

Seven jobs closed yesterday, seven decisions

Completed jobWhat the suppression list findsDecision
Boiler service · Ms Albers invoiced, nothing outstanding request 18:10
Bathroom refit · Mr Reiners second visit booked for Tuesday checked again afterwards
Callout · the Voss family complaint open since Monday excluded, goes to service
Roller shutter motor · Ms Timm invoiced, first job for her request 18:10
Electrical check · Mr Albers same number as row one second contact in the household
Window fitting · Kranz Furniture marketing objection on the record excluded for good
Service contract · Café Sonn asked in March this year held until March

On an ordinary day the first row repeats down the page; here the cases that make up the suppression list are lined up side by side. Sending window Monday to Friday, 9am to 6pm – anything falling due at 7:40pm goes out the next morning.

A task, not a template: one or two stars create a record with a deadline. The public reply is the one part of this chain nobody should automate – it is read by customers and by Google alike.

arrived without a request came from a request waiting for a person excluded

The number of poor reviews does not fall – it simply grows more slowly than the rest. Reducing it means removing the cause, not the request.

How the new reviews turn out is the real unknown, and that rests on your work rather than on the request. The reporting is built so that after four weeks it shows your own figures instead of our assumption.

How it works

From completed job to review

  • Detect completion

    The trigger is not a date but a status change in the leading system: job invoiced, ticket resolved, delivery confirmed. We agree which system that is before we build, and there can only be one.

  • Run the suppression list

    Before anything is sent, the list takes out everyone who must not be asked: marketing objection, open complaint, disputed invoice, a request in the last twelve months, a second contact in the same household.

  • Pick channel and review link

    Email, SMS or WhatsApp, depending on which contact detail exists and what consent covers. The link belongs to the business profile of the location that did the work.

  • Send at the agreed moment

    The message goes out after the configured wait, but only inside your sending window. A follow-up is optional, runs exactly once and is cancelled once the link has been opened.

  • Feed the reaction back

    Click, opt-out and reply land on the customer record, so the suppression list is right on the next run. A new review below three stars creates a task for the public reply.

Impact

What changes day to day

Today

  • Somebody asks whenever it happens to cross their mind
  • The same customer gets the request twice in one quarter
  • The link points at head office, not the branch that worked
  • Reviews come almost entirely from people who were annoyed
  • A one-star review sits unanswered for days on end

With automated requests

  • The request goes out once the job is genuinely finished
  • Each person is asked at most once in twelve months
  • Each branch collects the reviews it actually earned
  • Even customers who would never speak up unprompted get asked
  • A poor review is on somebody's desk the following morning
Limits

What review requests cannot do

Sending is the easy part. We clarify these four before quoting, because they decide whether the project is worth doing at all:

  • With low volumes it does not pay. If you close twenty or thirty jobs a month, you can write the request yourself in five minutes, and personal wording beats any template – set against the entry price, it takes years to come out even. The automation earns its keep once the record of who was asked when no longer fits in anyone's head, or once several locations run their own profiles.
  • We do not build pre-selection, not even as an intermediate page. The most common request in the intro call is a small survey up front: ask for stars internally, send four and five on to Google, route the rest into a form. That is still review gating whatever the page is called, and we will not build it – not even when a competitor looks better for doing it. If that funnel is what you want, you are in the wrong place.
  • More requests will not lift an average the work does not support. A firm with a genuine quality problem simply collects poor reviews faster – the automation makes your work more visible in both directions. A review cannot be deleted in any case, only reported and answered.
  • Who you are allowed to contact is not a technical question. A review request by email to existing customers counts as marketing in law, SMS and WhatsApp need consent of their own, and healthcare and legal services carry extra rules. We implement what you agree with your legal advisers and log every send; the basis has to come from you.
Systems

Fits your systems

Google Business ProfileMicrosoft 365CRM systemsTicketing systemsShop systemsSMS deliveryWhatsApp Businessn8n
Scope and price

Scope and price

The entry price covers one trigger, one channel, one business profile and your suppression list. What moves the price, we say before the quote.

from €990 one-off
  • Trigger from one leading system: job, ticket or delivery
  • Suppression list: objection, complaint, cooling-off, duplicate contact
  • Request in your own wording on one channel, with an opt-out link
  • One Google business profile with the matching review link
  • One follow-up that runs exactly once – or none at all
  • Click, opt-out and contact status written back to your CRM
  • Documentation, handover session and 30 days of support

What increases the price

  • Several locations with their own profiles and reporting
  • A second channel such as SMS or WhatsApp Business with separate consent
  • Requests in several languages and country-specific rules
  • Trigger from a till or industry system without an open interface
  • Further platforms such as Trustpilot in the same report

Several locations, a second channel and requests in more than one language typically land in the range of our Workflow Advanced package from €2,490. We quote the binding fixed price after the intro call.

All prices excl. VAT · operation and further development optionally via a support package

Included

What you get

  • Production request flow

    Set up from status change to sent message, signed off in a dry run on real jobs

  • Documented suppression list

    Which job never triggers a request – as a table you can have changed later

  • Monthly report

    Requests, clicks, opt-outs and the state of the profile, with the send times compared

  • Handover for service and sales

    How a customer is suppressed for good and who writes the public reply to a poor review

Questions & answers

Frequently asked questions about review requests

In small batches, and only the recent ones. Four hundred requests in a single day produce a spike on the profile that Google's filters may read as unnatural, and reviews then disappear again without anyone telling you why. So we start with jobs closing now and add older ones, if at all, spread over several weeks. Anything more than a quarter old we leave alone: a customer who no longer remembers the visit either writes nothing or writes something vague.
They are not simply dropped, they take a different route. A job with an open complaint becomes a task for the service team rather than a request for a review. A job with a second visit booked waits and is checked again once that visit is done. Anyone who has objected or opted out is skipped permanently, on later jobs as well.
The rule of thumb: as soon as the result is visible to the customer. For on-site work that is often two hours after completion, for deliveries a day or two after arrival, for advisory work considerably later. We compare two send times and switch to the better one after roughly four weeks. No single figure holds across industries.
Through a cooling-off period per person, usually twelve months, and by matching email addresses against phone numbers. What causes trouble is not the period itself but deciding who counts as the same person: two spellings of one name, a landline shared across a household, five contacts at the same company. We agree before we build which attribute leads and what happens when two records might be the same person: in that case nobody is asked. That costs a few requests and spares you the embarrassing ones.
Only partly, and we say so plainly. Google does not disclose who wrote a review; linking a request to a review is impossible and would not be permissible either. So we count clicks on the review link per send time, plus the number and average on the profile over time. That is enough to compare two send times, and not enough to trace a single review back to a single request.
Typical triggers are CRM, job management, till or ticketing systems, shops and booking diaries. Sending runs through your own sender address, an SMS provider or WhatsApp Business. What matters is less the product than which system reports completion reliably – an overnight export is no basis for sending two hours after the job.

How many of your happy customers does anyone ask?

In the free intro call we work out which system reports completion reliably, who you are allowed to contact and which jobs should never trigger a request. Afterwards you know whether it pays off at your volume.

Book a free intro call
Practical guide

Where automated review requests creates value in everyday work

The workflow detects completed services, checks contact permission and suppression rules, sends a neutral review request and routes responses appropriately.

Three concrete operating scenarios to compare with your own process.
01

Ask after an on-site visit

After completion and a short delay, the customer receives a concise request for feedback.

02

Handle multiple locations

The correct review link is selected from location or branch.

03

Route replies to service

Questions or complaints create a task with customer context.

A strong fit when …

Recurring office tasks follow clear rules, consume small blocks of time every day and should run reliably without replacing existing systems.

  • You handle recurring completed customer cases using repeatable rules.
  • The intake, target system and accountable business role can be named clearly.
  • Exceptions are allowed to remain visible and move to people deliberately.
Transparent potential estimate

Estimate time savings with your own volume

The calculator uses 5 minutes today and 1 minutes after automation as fixed example assumptions. It does not replace process analysis.

Illustrative estimate based on the visible assumptions — not a guarantee.

17.3Hours per month
208Hours per year
Additional measures after launch Handling time Open exceptions Manual transfers
Frequently asked questions

What decision-makers should know before starting

How does automated review requests work in practice?
An order, appointment or service case is completed successfully. The workflow then validates the required data, runs approved steps and routes exceptions to the responsible person with context.
Which systems can be connected?
Typical integrations include Google Business Profile, CRM, Microsoft 365, SMS, WhatsApp Business, Ticketsystem. The decisive factors are a stable interface and clearly defined ownership of each data field, not a specific tool.
Which tasks deliberately stay with the team?
There is no review gating: all eligible customers are asked neutrally. Complaints and sensitive cases go to people, not into an automated review sequence.
How is the automation introduced?
We choose one frequent, tightly scoped task, document its intake, destination and exceptions, and test it with a small user group. A tightly scoped first process typically takes 2–4 weeks; scope, interfaces and approvals determine the actual plan.
How can the benefit be measured?
Before implementation we record volume and current handling time. After launch we also compare Handling time, Open exceptions, Manual transfers. The calculator on this page is a transparent estimate, not a promise.
Content reviewed on 26 July 2026 About Lyron AI