How To Use AI To Respond To Google Reviews

By Corey Frankosky · Last Updated October 18, 2026

Every review on your Google Business Profile is a small public conversation, and future customers read your side of it. Most business owners know they should reply to every review. The problem is time. When you are running jobs or seeing patients all day, replies pile up. In this post I will show you how to use AI to respond to Google reviews quickly, how to keep the replies sounding like you, and the one rule healthcare businesses cannot break.

1Why review replies matter

Your replies are not really for the person who left the review. They are for the next hundred people who read it before deciding whether to call you.

Customers notice. In BrightLocal's 2026 Local Consumer Review Survey, 89% of consumers said they expect businesses to respond to reviews. The same survey found that 50% are put off by replies that look templated. So replying matters, and how you reply matters too.

That second number is the whole challenge with AI. Used carelessly, it produces exactly the kind of copy and paste reply people tune out. Used well, it gets you a solid first draft that you can personalize in 20 seconds.

Review replies are also part of a healthy profile. For the rest of the picture, see my guide to Google Business Profile best practices.

Question to Answer:

How many of your Google reviews from the last 90 days have a reply from you?

2What Google says a good reply looks like

Google publishes its own guidance on replying to reviews, and it is a good starting point for your AI rules. The short version:

• Be professional and polite, even when the review is unfair.
• Keep it short and simple. People skim.
• Make the reply count. Google specifically says to skip the generic thank you and respond to what the person actually said.
• Be conversational, not promotional. No deals, promo codes, or long lists of services.
• Protect privacy. Never share private details, and move complicated problems to a phone call or email.

Those rules go straight into the instructions you give the AI. Most bad AI replies break at least one of them, usually by being too long, too generic, and too salesy.

Question to Answer:

Do your current replies follow all five of these rules?

3Where AI helps and where it hurts

AI is great at the blank page problem. You paste in a review, and you have a reasonable draft in seconds. It is also good at staying calm when a review makes you angry, which is worth a lot.

Where it hurts is sameness. If you ask ChatGPT for a reply with no other instructions, you get something like "Thank you so much for your kind words! We're thrilled you had a great experience." Post that 50 times and your profile reads like a robot runs it.

The fix is simple. Make the AI pull one specific detail from each review into the reply. If the customer mentioned the technician by name, or that the job was done before a holiday, the reply should mention it too. That one detail is what makes a reply feel written by a person.

Question to Answer:

If you read your last ten replies back to back, would they sound like the same sentence repeated?

4Write your reply rules once

Instead of explaining your business every time, write your rules once and save them. In ChatGPT you can put them in a Project or a custom GPT. In Claude you can put them in a Project. I walk through the setup in how to build a custom AI marketing assistant.

Asking for two versions is a small trick that helps a lot. You pick the better one, tweak a word, and post. It keeps you in the loop without slowing you down.

Question to Answer:

Who signs your replies, and does every reply use the same name?

5Replying to positive reviews

Positive reviews are where AI saves the most time, because they are the most common and the least risky. Paste the review, get your two drafts, pick one.

Here is an example. A review says: "Mike showed up the same day and had our AC running in an hour. Super polite and explained everything." A good reply looks like this:

"Thanks, Sarah. Same day turnarounds are what we aim for, especially in this heat. I'll make sure Mike sees this. We appreciate you trusting us with your AC."

It is short, it uses her name, and it mentions Mike and the same day visit. No exclamation points stacked up, no sales pitch.

Keep in mind that a one line review like "Great service" does not need a long reply. A short thank you is fine. Do not let the AI pad it.

Question to Answer:

What specific details do your happiest customers mention most often?

6Replying to negative reviews

Negative reviews are where AI is most useful for your mood and most dangerous for your reputation. Always read and edit these yourself before posting.

Here is the process I recommend:

1. Wait before you reply. Never reply in the first few minutes after reading a bad review.
2. Give the AI context privately. Tell it what you believe happened, so it understands the situation. That context is for the AI only. It does not go in the public reply.
3. Ask for a calm, short reply that acknowledges the experience, does not argue the details in public, and invites them to call or email you directly.
4. Read it as a stranger would. Would a future customer think you handled it well?

A good negative review reply is not about winning. It is about showing the next reader that you are reasonable and you take problems seriously.

Question to Answer:

Is there a phone number or email in your negative review replies so the customer can reach you directly?

7The HIPAA rule for healthcare practices

If you are a dentist, physical therapist, doctor, or any other healthcare provider, this section is the most important one in the post.

Under HIPAA, you cannot confirm that someone is your patient in a public review reply, and you cannot add details about their care. That is true even if they posted those details first. The HHS Office for Civil Rights has already fined practices for it:

• Elite Dental Associates paid $10,000 in 2019 after disclosing patient information in replies to Yelp reviews.
• New Vision Dental paid $23,000 in 2022 for replies that included patient names and visit and insurance details.
• A New Jersey psychiatric practice paid $30,000 in 2023 for the same kind of disclosure.

Here is why this matters for AI. When you ask an AI tool to "address the patient's concern," it will naturally try to explain what happened in the appointment. That explanation is the violation. So for healthcare, your rules need a hard line: never confirm the person is a patient, and never mention any treatment, visit, or billing detail. A safe reply sounds like "We take all feedback seriously. Please call our office manager at [number] so we can talk."

Also, never paste patient records or chart notes into a consumer AI tool to help write a reply. Keep the AI on the public review text only. This is general guidance, not legal advice, so run your review policy past your compliance contact.

Question to Answer:

Does your practice have a written policy for what staff can and cannot say in a review reply?

8A simple weekly workflow

You do not need software for this. A saved set of rules and 15 minutes a week gets the job done.

1. Turn on review notifications in your Google Business Profile so you know when new reviews arrive.
2. Once or twice a week, open your saved AI project and paste in each new review.
3. Pick a version, change at least one word so it sounds like you, and post it.
4. Handle negative reviews separately and read them twice before posting.

If you get dozens of reviews a week across multiple locations, review management software that drafts replies inside one inbox can be worth looking into. The same rules apply. Somebody still needs to approve what gets posted.

Question to Answer:

Which day of the week will you block 15 minutes for review replies?

9Use your reviews for more than replies

Once you are pasting reviews into an AI tool every week, you can get more out of them. Ask it to summarize the phrases customers use most often. Those phrases are usually better than anything you would write yourself for ads and website copy.

For example, if your reviews keep mentioning "showed up on time" and "explained everything," those belong in your ad headlines and your landing page copy. You can also use them in your AI copywriting for Google Ads and Meta Ads.

Reviews also feed AI search. In the same BrightLocal survey, the share of consumers using AI tools for local business recommendations rose from 6% to 45% in a year, and those tools read your reviews. For more on that shift, see my post on home service SEO.

Question to Answer:

What three phrases show up most often in your best reviews?