AI review replies: what is good, and what to avoid

Plenty of businesses now use AI to help write replies to Google reviews, and plenty of customers can tell. Used well, AI takes a chore that gets skipped on busy weeks and makes it quick enough to keep up with. Used badly, it produces replies that sound like nobody, or worse, replies that confidently describe things that never happened. Here is an honest look at both, from a company that uses AI to draft replies.

Where AI genuinely helps

• Volume. Writing a fresh, specific thank you for every positive review is the part most owners skip. Drafting is where AI saves the most time.
• Consistency. A good setup applies the same tone, sign-off and rules every time, even when different people are approving replies.
• Starting points for hard replies. Even if you write a negative reply yourself, a calm first draft can help when you are annoyed.
• Clearing a backlog. Working through months of unanswered reviews is much faster with drafts to approve.

What goes wrong

Inventing details

This is the most serious problem. Language models are good at producing plausible sentences, and a plausible sentence is not always true. An AI reply might thank a customer for "choosing our deluxe package" when they never mentioned one, name a staff member who does not exist, or promise a follow-up call nobody will make. On a public profile, those mistakes are read by every future customer, and the reviewer will notice immediately.

The second reply is less colourful, and that is the point. Nothing in it can be wrong.

Sounding like a robot

Generic AI replies have a recognisable style: overly enthusiastic, full of phrases like "we are thrilled" and "your satisfaction is our top priority", and the same structure every time. Readers who scroll your profile see the pattern quickly. Good setups learn your actual voice from replies you have written and vary their wording from review to review.

Mishandling complaints

A negative review needs context only you have: what actually happened, what you have done about it, whether you want to call the customer. AI does not know any of that. An automatic reply to a one star review risks sounding dismissive, admitting things that are not true, or making promises you will not keep. Negative reviews should not be auto-answered. Draft if it helps, but a person should write or approve every one.

Privacy in regulated trades

Healthcare, legal and some financial businesses cannot confirm that someone is a patient or client, or refer to their treatment or matter, even if the reviewer mentioned it. A general-purpose AI will happily write "We are so glad your root canal went smoothly." In those fields, replies need strict rules: warm, brief and completely non-specific, and reviewed by a person when in doubt.

Rules to set before you turn anything on

1. 1Never invent facts. Replies reference only what the review says, plus details you have set deliberately.
2. 2The owner stays in control. You decide which replies post automatically and which wait for approval, and you can edit or reject any of them.
3. 3Low-star reviews are never auto-answered. They go to a person.
4. 4Match your voice. Give the system examples of how you write, how you sign off and words you avoid.
5. 5Vary the wording. No two replies should be the same sentence.
6. 6Respect privacy. No customer details, and nothing that confirms a patient or client relationship in regulated trades.
7. 7Check a sample regularly, even for replies that post automatically.

Should customers know a reply was drafted by AI?

There is no single right answer. What matters to the reader is that the reply is accurate, sounds like the business, and is something the owner stands behind. If you would be uncomfortable with a reply posted under your name, do not post it, whoever or whatever drafted it.

Start careful, then loosen

A sensible way to adopt AI replies is to start with every reply waiting for your approval. Read them for a few weeks. Edit the ones that do not sound like you. Once you trust the drafts for positive reviews, let those post automatically and keep approving everything else. That way you get the time savings where the risk is lowest, and keep your judgement where it matters.

The short version

AI is good at the part of review replies that is repetitive and easy to skip. It is not good at knowing what happened, and it should never be trusted to make things up or handle complaints alone. Set the rules first, keep the owner in charge, and it becomes a useful tool rather than a liability on your profile.

This is how Repperly is built: replies are drafted in your voice from what the customer actually wrote, nothing posts until you say so, and one and two star reviews are always held for you rather than answered automatically.