Google appears to be testing AI-generated replies inside Google Business Profile. The feature, first spotted by Chandan Mishra, allows businesses to generate suggested responses to customer reviews, review them, edit them, and publish them directly from the interface.
The behaviour is not consistent yet. The option appears on some profiles and not on others, and in some cases it seems to guide attention towards older unanswered reviews. In certain regions, there are also indications that responses can be generated in bulk or even automated.
At first glance, this looks useful. Responding to reviews takes time, and many businesses struggle to keep up. A feature that reduces effort and increases activity on the profile seems, on the surface, like a practical improvement.
But the change is not only operational. It affects what a review reply actually represents, and how that interaction is interpreted by customers.
A review reply is not just an action
A review is not just feedback. It is a person describing an experience with a business. Sometimes positive, sometimes negative, often specific.
A reply, in turn, is not simply a task to complete. It is the business responding to that experience. It reflects attention, judgement, and, in many cases, responsibility.
When that response becomes generated, even if it is reviewed or slightly edited, the nature of the interaction begins to shift. The reply is still there, but it no longer carries the same weight.
What happens when replies start sounding similar
If this feature rolls out more broadly, a few patterns are likely to emerge. Many businesses will publish suggested replies with minimal changes, simply to save time. Others will edit them slightly to make them feel more personal. A smaller group will continue writing responses themselves.
The presence of replies won’t be the issue. The risk lies in how those replies feel.
Customers are often able to recognise patterns associated with AI-written text, especially when replies feel generic or repetitive. When that happens, the reply stops feeling like a considered response and starts feeling like a process. The wording may be correct, the tone may be polite, but something essential is missing.
Trust is built in small moments
Trust doesn’t come from the fact that a business replies. It comes from how it replies, something customers evaluate as they read through reviews.
It’s built in the details: how a complaint is addressed, whether a specific point is acknowledged, whether the tone reflects what actually happened. These are small moments, but they are visible not only to the reviewer, but to everyone else reading the reviews section.
When these moments become generic, the relationship between the business and its customers begins to change. The interaction is still present, but it becomes harder to distinguish one business from another based on how it communicates.
From businesses to processes
Over time, this affects how businesses are perceived.
If replies start to follow similar patterns across different profiles and industries, the interaction loses its individuality. What was once a response from a business starts to resemble an output of a system, making differences between businesses less visible at the communication level.
This is where a form of depersonalisation appears. The business is still there, but it becomes less visible in how it communicates.
And when that happens consistently, businesses begin to feel less like people and more like systems.
Where this leads
The feature itself is optional, and not every business will use it in the same way. Some will rely on it heavily, others will avoid it altogether.
But if a large number of replies start to follow the same structure and tone, the effect won’t stay isolated. It will influence how customers read reviews and what they expect from businesses in general.
The question is not whether replies will continue to exist. They will. The question is what they will come to represent: a thoughtful moment, or an empty shell.
Frequently asked questions
Q: Can businesses edit AI-generated replies before posting them?
A: In early testing, businesses appear to be able to review, edit, and then publish suggested replies. In some cases, there are also signs that responses may be generated in bulk or automated.
Q: Why could AI-generated review replies be a problem?
A: The main issue is not speed, but sameness. When review replies start sounding generic or repetitive, they can feel less like genuine responses and more like a process.
Q: Do customers notice AI-written replies?
A: Many customers can recognise patterns associated with AI-written text, especially when replies feel polished but generic. When that happens, the reply may lose some of its credibility and human feel.
Q: Do review replies help build trust?
A: Review replies can help build trust, but the benefit comes from how a business replies, not just from the fact that it replies. Tone, specificity, and acknowledgement of what actually happened all shape how the response is read.
Q: How do generic review replies affect customer trust?
A: Generic review replies can reduce the sense that a business is responding with care and attention. That can affect not only the reviewer, but also future customers reading the reviews section.
Q: Should businesses avoid AI for review replies completely?
A: Not necessarily. The issue is how AI is used. A suggested reply may be useful as a starting point, but publishing generic responses without thought can weaken the value of the interaction.
Tags: google business profile, ai generated review responses, customer trust reviews, online reputation management, automated review replies google, ai replies impact on trust, google review response strategy, mp016
