A friend who runs a small landscaping business told me he used to either ignore bad reviews entirely, hoping they'd get buried, or respond in a way that came out sounding defensive because he wrote it in the heat of the moment right after reading one that stung.
Now, when a review comes in — good or bad — he pastes the actual review into an AI chatbot along with the real context of what happened, and asks for a response that's professional, doesn't argue with the customer publicly, and addresses the specific complaint if there is one. For a bad review about a job running late, the draft it gave him acknowledged the frustration directly, gave a brief honest explanation without excuse-making, and offered to make it right — three sentences, no defensiveness, no groveling.
For good reviews, he'd been skipping responses entirely because he didn't think it mattered, but a quick genuine thank-you that mentions something specific from the review takes thirty seconds with an AI's help and makes his business look active and appreciative to anyone else reading reviews before hiring him.
The thing he watches for is making sure the response still sounds like him and not like corporate customer service copy-paste — he tweaks a word or two to match how he actually talks before posting anything. A response that's too polished can come across as insincere just as easily as one that's too defensive.
Reviews are often the first thing a potential customer reads about a small business. Responding well to both the good and the bad ones, calmly and specifically, is a small thing that adds up.
If you want the slow, no-jargon version of all this — the stuff I wish someone had handed me before I fumbled through it myself — that's exactly what I built On Ramp AI for. Check it out here.