Yes, reviews are one of the main things AI assistants read
When you ask an AI assistant to recommend a local business, it is not making things up out of nowhere. It is reading public information about businesses in your area and then summarizing it in plain language. Reviews are a large slice of that public information.
There is a simple reason reviews carry so much weight. They are public, there are usually many of them, and they are written by real customers rather than by the business itself. That makes them a strong signal that a place exists, that it is open, and that people go there and have opinions about it. An AI assistant trying to answer a question like 'who is good around here' is going to lean on exactly that kind of signal.
Between two similar businesses, the AI almost always recommends the one with more reviews and a higher rating. Not because of a secret formula, but because that is what the evidence points to.
The AI reads both the stars and the words
Your star rating is the obvious part. A 4.8 reads better than a 3.9, and the assistant notices. But the rating is only half of it.
The AI also reads the words inside your reviews. This matters more than most owners realize. If your reviews repeatedly mention that you are good with kids, open late, fair on price, fast, or that your staff speaks Spanish, those themes become part of how the AI understands your business. So when a customer asks for something specific, like 'a dentist who is good with nervous kids' or 'a mechanic open on Sunday', the AI can connect that request to the themes it found in your reviews.
This is why the content of your reviews is worth paying attention to, not just the average score. The phrases customers use are doing real work. They tell the AI what you are actually good at, in plain words a customer would use.
Count and recency both matter
A higher number of reviews generally reads as more trustworthy than a handful. A business with a long, steady history of feedback looks more established than one with almost nothing to go on.
Recency matters too, and owners often miss this. A steady stream of recent reviews reads as a place that is alive and still busy this month. A big burst of reviews from two years ago, with nothing since, can read as a place that used to be popular. You want the assistant to see that customers are still walking in and still talking about you.
The practical takeaway is that reviews are not a one-time project. A few new reviews every month, every month, beats a one-time push followed by silence.
Reviews are not the only thing that matters
Reviews are one of the main signals, but they are not the whole picture. The AI is also looking at how complete and consistent your business information is.
A complete Google Business Profile, with the right category, hours, phone number, address, and website, gives the assistant clean facts to work with. Consistency across the web helps too. When your name, address, and phone number match everywhere they appear, from your own site to local directories, the AI has less reason to doubt the details and more reason to repeat them correctly.
- A complete, accurate Google Business Profile
- The right primary category for what you actually do
- Correct hours, phone number, and address
- The same name, address, and phone number across the web
- Mentions and listings on other sites people trust
You cannot fake this, and you should not try
It can be tempting to look for shortcuts. Buying reviews, writing them yourself, or paying for a batch of five-star ratings all look like quick wins. They are not.
Fake reviews are against the rules on every major platform, and the platforms have gotten good at catching them. You risk having reviews removed, your profile penalized, or worse. And it does not even get you what you want, because the words in fake reviews are generic and do not reflect what customers actually value about you.
There is also a quieter problem. Gating reviews, where you only ask the happy customers and steer the unhappy ones somewhere else, is also against platform policy and it makes your rating less honest. The honest path is slower, but it is the one that holds up and the one that actually tells the AI the truth about your business.
The honest way to earn more reviews
The good news is that the honest playbook is also the effective one. You do not need tricks. You need a habit.
Ask every customer, not just the ones you think are happy. Make it as close to one tap as you can, with a short link or a QR code on the receipt, the counter, or a follow-up text. Reply to the reviews you get, the good and the not-so-good, because that shows you are paying attention and gives the AI even more recent, relevant text to read. And let people write in their own words. The specific phrases they choose are exactly what helps the AI match you to the right customer.
- Ask every customer, not only the happy ones
- Make leaving a review one tap, with a link or QR code
- Reply to reviews, including the critical ones, in a calm and human way
- Let customers write in their own words, do not script or template them
- Never buy, fake, or trade reviews
- Build the habit so a few come in every month
Google reviews count, and so do the others
Google reviews carry a lot of weight because Google is where most people look and where the data is richest. If you only have time for one place, that is the one. But it is not the only place an AI assistant can read.
Reviews on other sites that fit your industry count too, whether that is a general review platform, an industry directory, or a marketplace where your customers already are. A spread of consistent, recent feedback across the places that matter for your trade gives the AI more to work with and more reasons to recommend you with confidence.
If you want to see which review themes the AI is actually picking up about your business, that is exactly what LocalFox checks. It asks the assistants the questions your customers ask and shows you which words and ratings are shaping what they say back.