Replying to every customer review, in the brand's voice, with human approval before publishing

Implementation example. This scenario describes a request we receive in this form. It is not a project delivered to a named client, and no results are claimed.

The context

A brand operates several locations: stores, restaurants, hotels, branches or service centers. Each location has its own Google listing, sometimes also on other review or booking platforms. Reviews pile up every week.

Marketing is centralized at headquarters, with one or two people in charge of communications and digital. Location managers are busy with day-to-day operations.

The day-to-day problem

Some reviews go unanswered, especially short positive reviews and difficult negative ones. Existing replies all sound the same (“Thank you for your feedback!”) or, at the other extreme, a manager responds to criticism in an irritated tone.

Recurring problems (wait times, cleanliness, a product that is often out of stock) are read one by one, without anyone adding them up. Headquarters discovers a string of negative reviews for a location when its rating has already dropped.

What the brand wants

“I want us to reply to every review, quickly, with a real reply, without managers spending their evenings on it, and to know what keeps coming up from one location to the next.”

The solution, step by step

1. Gather the reviews. The tool connects to the locations' listings (Google Business Profile and, if needed, other platforms) to retrieve new reviews every day.

2. Define the reply guidelines. With headquarters, we set the tone, the phrases to avoid, what can be offered (a callback, a goodwill gesture) and what is never said in public (personal data, order details, blaming an employee).

3. Classify each review. AI identifies the rating, the topic (service, wait time, product, price, cleanliness) and the sensitivity level. Reviews that mention a risk (safety, health, legal threat, discrimination) are set aside and forwarded directly to the designated person.

4. Draft a personalized reply. For each review, AI writes a reply that picks up on what the customer wrote, in the brand's voice and in line with the guidelines. It promises nothing the guidelines do not provide for.

5. Approve before publishing. Replies land in an approval queue. Replies to positive reviews can be approved in batches by headquarters. Replies to negative reviews are approved by the manager of the location concerned, who can edit them. Nothing is published without human approval.

6. Surface trends. Every month, a summary per location and for the whole network shows the recurring topics, how they evolve, and review excerpts. Operations managers know where to act.

What AI does, what the brand does

AI classifies, drafts and summarizes. The tool retrieves reviews and publishes approved replies. Headquarters sets the guidelines. Location managers approve sensitive replies and deal with issues on the ground.

Data and access required

manager access to the locations' listings;
a few replies considered successful, to calibrate the tone;
the list of managers for each location;
authorized goodwill gestures and escalation cases.

Project timeline

Weeks 1 and 2: assessment. Analysis of recent reviews, the reply rate and recurring topics. This is the format of our audit (8 to 10 days).
Weeks 3 and 4: guidelines and connection. Reply guidelines, connection to the listings, classification rules.
Weeks 5 and 6: go-live. Replies sent for approval at a few pilot locations, adjustments.
After that: rollout. Extension to the whole network, monthly summary.

Deliverables

review reply guidelines;
a tool to collect, classify and draft replies;
an approval queue per location;
a monthly summary of recurring topics;
a short training session for headquarters and managers.

Metrics to track

the review reply rate, per location;
the average reply time;
how recurring topics evolve;
changes in the average rating and the number of reviews;
the time teams spend replying.

These metrics are recorded at the start, then tracked every month. No results are promised in advance.

Limitations and prerequisites

The tool replies to reviews; it does not create reviews and does not try to get them removed.
Serious reviews are always handled by a person.
Replies do not fix problems on the ground: the summary is there to help address them.
Review platform rules apply to published replies.

Indicative budget

The assessment corresponds to our audit, from €1,000 excl. VAT. Implementation is quoted on request, depending on the number of locations and platforms.

Frequently asked questions

Will customers see that the reply was drafted by AI? The reply is reviewed, often edited, and published by the location. It picks up on what the customer wrote, which sets it apart from generic replies.

Can we reply in several languages? Yes, AI replies in the language of the review.

Can replies to positive reviews be published automatically? It is technically possible. We recommend starting with systematic approval.

What about unfair or fake reviews? They receive a factual, calm reply. Reporting them to the platform remains a human decision.

What next?

If some of your reviews go unanswered, the audit lets us measure in 8 to 10 days your reply rate, the topics that keep coming up and what can be put in place.

Client challenge