When Hutchinson Health more than tripled their local SEO reach for “chiropractor” in their area, it wasn’t down to one clever trick. But reviews were a huge part of it – more reviews led to more patients, more revenue, and put the owner in a far stronger position when he came to sell the business.
Here at Broxbourne, reviews are one of the first things we build a system around for every client. The problem is that most businesses only make a token effort to get them. This post walks you through exactly how we do it: why reviews matter so much, the system we use to generate them on repeat, how to deal with the inevitable negative ones, and two advanced strategies that squeeze far more SEO value out of every review you get.
Why reviews matter so much for SEO and AI
Reviews are a trust signal and trust is the whole game in search.
Think about it the way Google and AI engines do. You can say whatever you like about your own business, and it might not be true. But when lots of other people say you’re good, that’s information both Google and AI engines can rely on. It lets them return your business in a search result with confidence.
That’s why a wall of genuine 5-star reviews does more for your visibility than any amount of self-promotion on your own website. As AI-driven search becomes the default way people find local services, this trust signal only gets more important – the engines are leaning harder on third-party validation to decide who to recommend.
The STAR method for getting 5-star reviews
The simplest way to get reviews consistently is to follow a repeatable process. We use the acronym STAR: Satisfy, Tell, Ask, Remind.
Satisfy. Make sure the customer is genuinely happy first. You should be doing this anyway, but confirm it – ask them directly: “Were you happy with the service today? Any feedback for us?” You only want to chase reviews from people who had a good experience.
Tell. Once you know they’re happy, tell them why a review matters – but find a human reason, not “it helps our business.” A great example is the restaurant server who hands you a card with a review QR code and writes their name on it: “If you mention my name in the review, my boss is happy and I get more shifts.” That gives the customer a real, human motivation to act, and it works far better than a generic plea.
Ask. Actually make the request. In a face-to-face business like a restaurant, ask on the spot. For clinics and service businesses, an email request works better – because it opens the door to follow-ups.
Remind. Most people won’t leave a review the first time you ask. It’s not that they don’t want to – we’re all busy and we don’t get round to it. So be politely persistent. Don’t ask once and hope; keep following up until the review actually lands.
How to automate your review generation
You can systematise the entire STAR process so reviews arrive steadily without you chasing each one by hand.
We use a platform called BrightLocal, a suite of local SEO tools – the review generation feature is the part that matters here. Inside it you set up an email template that asks a customer for a 5-star review, plus a follow-up template that fires a few days later to nudge anyone who hasn’t acted yet. (We’ve tested a lot of versions of these emails; the wording genuinely affects your response rate, so it’s worth getting right.)
Then you simply feed the tool a CSV spreadsheet of customer names and email addresses, and it sends the request and the reminder automatically.
Here’s the clever bit most businesses miss: don’t stop after one round. A couple of weeks later, check who actually left a review against your original list. Remove those people, add any new customers you’ve seen since, and run the whole cycle again. Anyone who hasn’t reviewed yet gets asked again and again, until they eventually do. That recycling loop is what turns a one-off campaign into a steady drip of new reviews.
How to handle negative reviews
Sooner or later every business gets a one-star review. How you respond is itself valuable marketing – many prospects read your negative reviews before your positive ones. Run any bad review through two quick questions.
Is it genuine? If the reviewer was never actually a customer, flag it with the platform (Google, Trustpilot, or whoever) and ask them to remove it. Around 99% of the time, that works.
Is it reasonable? If they’re a real customer and you genuinely dropped the ball, pick up the phone. Apologise, explain it falls below your usual standard, and offer to make it right – a free repeat appointment, a discount, something that fixes the problem. Once you’ve delivered the service they should have had, ask them to update or remove the one-star review. Nine times out of ten, they will. If they won’t, reply publicly and calmly: “We’re sorry about your experience. Here’s what we did to put it right, and we’ll make sure it doesn’t happen again.”
Then there are the reviews that simply aren’t reasonable – the customer who turned up 45 minutes late and complained their appointment was cut short, or the one annoyed you weren’t open at 6am on a Sunday. When you can’t get these removed, your reply is prime marketing real estate. Before you respond, check the reviewer’s history on that platform. You’ll often find a serial one-star reviewer who’s slated dozens of businesses. You can open your reply with something like: “I notice you’ve left 23 reviews on Trustpilot and every one is a single star.” That instantly frames you as reasonable and them as not. Showing prospects that you own genuine mistakes and handle unfair attacks with composure makes you look good either way.
Two advanced strategies to maximise SEO impact
Once the basics are running, two extra moves multiply the SEO benefit of every review.
Use multiple platforms. Just as five people vouching for you beats one, reviews spread across Google, Trustpilot and Facebook count for more than the same number on one platform alone. You don’t have to dilute anything, because customers can review you in more than one place. When someone leaves a review on your primary platform (usually Google), come back a week or a month later with another genuine reason and ask them to review you elsewhere too. A really happy customer will often happily review you across three or four platforms.
Get keywords into the reviews. Instead of a customer writing “I came to the clinic, had a good experience, feel better,” nudge them toward “I came to the clinic in Guildford for physiotherapy for my back pain – great experience and now I feel much better.” When someone later searches “physiotherapy for back pain in Guildford,” Google and AI engines are far more likely to surface you over a competitor whose reviews say nothing specific.
Want help putting this in place?
Five-star reviews are crucial to your local SEO and your AI visibility – generate them with the STAR method, automate the whole thing with BrightLocal, handle negative reviews properly, and layer on the multi-platform and keyword strategies to get even more from each one.
If you’d like a hand building this system for your business, you can book a call with me using the link below. And don’t forget to grab your free SEO Runbook – it pulls together everything we cover in this series.
Wanna watch our video on this?
Youtube Link – Local SEO Part 4 | Review Generation
