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Reviews aren't just for customers anymore. AI reads them too.

By Jess Dando4 min read

Reviews now help decide whether AI tools recommend your business at all, not just whether people trust you. When someone asks ChatGPT or Google's AI who's best at what you do, those tools read your reviews to work out whether to put your name forward.

You already know reviews matter. A good star rating makes people trust you, and a bad one sends them elsewhere. That's old news.

Here's the new bit. Reviews now help decide whether AI tools recommend your business at all. When someone asks ChatGPT or Google's AI "who's the best [what you do] near me," those tools read your reviews to work out what you're good at and whether to put your name forward.

Which means your reviews are quietly doing a second job you probably didn't know about.

Why does AI care about your reviews?

AI recommendation tools are trying to answer a question confidently. To do that, they gather evidence about your business from lots of places, and reviews are one of the richest sources. They tell the AI what you actually do, who you do it for, and whether it goes well.

The effect is bigger than most people expect. Businesses with even a handful of reviews get recommended by AI far more often than businesses with none. Going from zero reviews to a few is one of the highest-impact, lowest-effort things you can do right now.

But here's the catch. Not all reviews are equally useful.

Why is "great service" nearly useless?

Think about what a review actually tells an AI.

"Great company, highly recommend" is lovely to receive, but it says nothing specific. It doesn't mention what you did, where, or what the result was. To an AI trying to decide whether to recommend you for a particular job, it's almost empty.

Now compare that to this. "They redesigned our dental practice website and our new patient enquiries doubled within three months."

That single review tells the AI what you do (web design), who for (a dental practice), and the outcome (doubled enquiries). It's packed with exactly the signals that get you recommended.

Same effort from the customer. Wildly different value to your business.

How do you get reviews that actually help?

The trick is to make it easy for happy customers to be specific. Most people want to help, they just don't know what to write, so they default to "great service."

Give them a nudge. When you ask for a review, gently prompt them to mention what you did, and the difference it made. Something as simple as "if you're happy to, it really helps if you mention what we worked on and how it turned out" will transform the quality of what you get back.

Ask when they're happiest, usually right after you've delivered something they're pleased with. And ask real people, one at a time, rather than blasting a generic request into the void.

Five specific, outcome-rich reviews will do more for you than fifty that just say "brilliant."

What's the takeaway?

Reviews have quietly become part of your visibility, not just your reputation. They shape whether a human trusts you and whether an AI recommends you.

So if you've been meaning to ask a few happy clients for a review, this is your reason to actually do it, and to ask them to be specific when they do.

Questions people ask

Short answers to the common ones

Do AI search tools actually read customer reviews?

Yes. Tools like ChatGPT and Google's AI Overviews pull from reviews across the open web to work out what a business does, who it serves, and whether it delivers. Reviews are one of the richest sources they use when deciding who to recommend.

What makes a review useful for AI recommendations?

Specifics. A review that names what you did, who for, where, and the outcome (for example, 'redesigned our dental practice website in Cardiff and doubled our new patient enquiries in three months') gives AI the signals it needs to recommend you for that kind of work. Generic 'great service' reviews barely register.

How many reviews do I need to show up in AI results?

Even a handful moves the needle. Businesses with a few specific, outcome-rich reviews get recommended by AI far more often than businesses with none, so going from zero to five is one of the highest-impact, lowest-effort things you can do.

How do I ask for a review that AI can actually use?

Ask happy customers one at a time, right after you've delivered something they're pleased with, and gently prompt them to mention what you worked on and how it turned out. A single line like 'if you're happy to, it really helps if you mention what we worked on and the difference it made' transforms the quality of what comes back.

Related service

We tune your site, listings and review signals so AI tools recommend you by name. That's the AEO work in our services line-up.

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