Reviews matter. They matter now more than ever.
You already run an excellent business. You offer great service, happy customers, and the kind of reputation that keeps people coming back. You have a few 5 star reviews to prove it, and maybe the occasional 4 star review, but you know your business is one of the best out there.
Google still reads a few five-star reviews as a much smaller signal than a competitor’s 169 reviews at 4.7 stars, even when your service is every bit as good or better.
You have a problem of quantity. Ranking decisions in Google – and, now, in AI – are not just about how good your reviews are. They’re also about whether or not you have a lot of them. More reviews means a busier, more active business, and if search engines and AI are trying to figure out how to rank different businesses against each other, the quantity and quality of reviews tells them more than your website and a couple of five star reviews can.
Before, reviews were important for Google Search. Now, they are important for Google Search, Google Business, Google’s AI overviews, AI chatbots, and so much more.
Reviews on Google, along with other sites like Yelp, matter more now than ever before. But how, why, and what to do about it can be complicated. For this piece, we’ll talk about the effects of reviews, with a focus on Google Reviews, and how they affect your digital marketing efforts.
AIO, AEO, and SEO
SEO, or “Search Engine Optimization,” has been around for a long time. It’s the process of helping build trust in Google on and off your website so that you show up higher when a user searches for a relevant term.
Most SEO in the past has taken place on-site, and in most ways this is still the case. You create pages that show your expertise and target specific user queries, and Google rewards you with an improved ranking. Offsite factors, like backlinks, played a role.
Not long ago, Google also integrated reviews into their SEO ranking system, though the effect was still small. Still, Google Reviews were important, because Google Maps listings (known as “Google Business) would show up in search as well, so a lot of positive reviews could help you rank higher in Maps results.
AI has changed this considerably. AIO, also known as AEO, is essentially SEO for chatbots and Google AI overviews. People now use these tools to find information. People ask chatbots like ChatGPT to find out information, or they query something in Google but only read the list that comes up with the AI overviews at the top.
These tools *prioritize* reviews. They look at review websites first – Google Maps, usually, along with Yelp and a few others – and then use the information they find via signals (mentions of a business across the internet) to generate information. The latter, signals, is its own separate beast to tackle, but because reviews are such a high priority, obtaining reviews is now more important than ever before. .
Reviews Are a Confirmed Part of Google’s Ranking System
Google keeps its full local ranking algorithm confidential. But it has been unusually direct about the broad strokes. According to Google’s own Business Profile Help documentation, local results are based mainly on three factors: relevance, distance, and prominence.
Relevance is how well a business profile matches what someone searched for. Distance is exactly what it sounds like, tied entirely to how close a business is to the person searching. Prominence is where reviews live. Google’s own language on this is direct: prominence “means how well-known a business is,” and it’s based partly on how many websites link to the business and how many reviews it has. Google states plainly that more reviews and positive ratings can help a business’s local ranking.
Prioritizing positive reviews makes sense. But the idea of quantity can be surprising. Would a business with 400 4-star reviews rank better than a business with 10 5-star reviews?
Likely, yes.
The Local Search Ranking Factors survey, an initiative that’s run since 2008 and is now maintained by Whitespark, polls dozens of local SEO practitioners on what moves rankings in practice. The 2026 edition attributes roughly 32 percent of local pack ranking weight to Google Business Profile signals as a category, with review signals specifically estimated at around 20 percent, up from roughly 16 percent in the 2023 edition. Those figures are practitioner estimates rather than numbers Google has confirmed directly, though the trend they describe, reviews carrying more weight year over year, lines up with what Google’s own guidance already implies.
What Specifically About a Review Moves the Ranking
A handful of specific review characteristics show up consistently in the research as the ones that most directly influence prominence:
- Review Count — A business with 150 reviews generally reads as more established and trustworthy to Google’s algorithm than a nearly identical business with 12, independent of the star rating on either.
- Review Recency and Velocity — A steady, ongoing stream of new reviews signals an active, currently operating business. A business that earned 80 reviews in 2019 with silence since can rank behind a newer competitor still generating a few reviews a month.
- Average Star Rating — This one is the most intuitive, and it still counts for a lot. Businesses hovering below roughly 4.0 stars tend to see both ranking and click-through suffer, since a visible star rating shapes whether a searcher even considers clicking through to a lower-ranked result.
- Owner Response Rate — Responding to reviews, including negative ones, is one of the specific behaviors Google itself recommends as a way to improve local ranking and demonstrate that a business values customer feedback.
- Keyword Content Inside Reviews — A review that happens to mention a specific service, like “fixed our water heater the same day,” can reinforce relevance for that exact search term in a way a generic five-star rating rarely does.
Businesses that treat reviews as a one-time collection project, front-loading fifty reviews in the first month after opening and then going quiet, tend to plateau. The signal Google is reading for is closer to an ongoing pulse of a business people are still visiting.
How Reviews Feed Into AI Overviews and AI Search
Traditional local ranking and AI Overview visibility overlap. The connective tissue is a framework Google calls E-E-A-T, short for Experience, Expertise, Authoritativeness, and Trustworthiness. It’s part of how Google’s quality raters evaluate content and sources, and Google’s own guidance on trustworthiness explicitly names positive user signals like reviews and testimonials as one of the elements that build it, alongside things like accurate information, transparent sourcing, and clear contact information.
Google Business Profile has become more than a local listing. It functions as one of the primary structured data sources Google’s AI systems, including Gemini and AI Overviews, pull from when assembling an answer about a local business. When someone asks an AI-generated summary something like “is this a good contractor,” the system is synthesizing signals that already exist, and a business’s review count, rating, and review content are among the most concrete, structured signals available for that synthesis.
This is also where AI search and traditional SEO start to diverge slightly. Citations, which are mentions of a business across the wider web, have become a heavier factor in AI visibility specifically. Independent analysis of the 2026 Whitespark data found that three of the top five factors influencing AI search visibility were citation-based: mentions on curated “best of” lists, unstructured mentions in news coverage and blog posts, and the sheer volume of mentions across the web.
Reviews are exactly that kind of third-party validation, posted on a platform independent of the business itself. That is part of why they carry weight as a trust signal rather than reading as marketing copy a business wrote about itself.
Reviews, citations, and structured profile data all feed the same evaluation. A business chasing AI visibility gets the strongest results by building all three together, rather than leaning on its own website alone.
How to Get Reviews When Your Industry Makes It Hard
Plenty of businesses have an easy time collecting reviews, since the request fits naturally into an existing customer relationship. A restaurant, a retail shop, a gym: all of these see customers repeatedly, in person, at a moment when a quick review request feels normal.
Other industries face a harder version of this, either because the nature of the work makes asking directly a real ethical or legal problem, or because the business only interacts with a given customer once, years apart from the next.
Let’s provide a few examples:
Therapists and Other Licensed Mental Health Providers
Mental health practices are an example of a situation where getting reviews is extremely difficult. Due to HIPAA and professional ethics codes, a client’s relationship with a therapist as protected information, and asking for reviews is considered unethical.
If a client posts a Google review under their real name, or even a recognizable pseudonym, they’ve disclosed to the public that they’re a client of that specific therapist. If the therapist responds to that review at all, even with something as simple as “thank you,” they’ve publicly confirmed the therapeutic relationship exists. That confirmation is a disclosure of protected health information, and it’s treated as such. In one documented case, the U.S. Department of Health and Human Services reached a $30,000 settlement with a psychiatric provider after replies to negative online reviews disclosed patient information.
Given that, the safe practice for mental health providers looks different from standard review generation advice:
- Skip Soliciting Reviews from Current or Former Clients — Soliciting a review creates both a HIPAA exposure and a dual-relationship problem, since it puts a client in the position of doing something for their therapist outside the treatment relationship itself.
- Keep Replies Fully Generic — If a client voluntarily posts a positive review, a safe reply stays generic, something like a general thank-you for feedback, without acknowledging that the reviewer was ever a client.
- Post a Public Policy Explaining the Approach — Many practices add a short, visible note on their website or profile explaining that they’re ethically and legally restricted from soliciting or responding to reviews, which reframes the quiet profile as a sign of professionalism rather than indifference.
- Lean on Alternative Trust Signals Instead — Peer endorsements, professional association memberships, credentials, and content that demonstrates expertise can all build the same kind of prominence and trust signal that reviews build elsewhere, entirely separate from client confidentiality.
Clients who leave a review entirely on their own initiative are still welcome to, and those reviews still count toward prominence. The practice itself simply stays out of the asking.
Roofers and Other Infrequent-Purchase Home Services
Roofing is another example of a challenge. Getting reviews as a roofer isn’t as difficult as being a therapist, because you are allowed to ask for reviews without worrying about HIPAA. However, roofing exposes different types of challenges:
- There are fewer projects, which means fewer opportunities to get reviews.
- Those projects tend to run into issues, like longer wait times, unexpected costs, etc., that run a higher risk of negative reviews.
- Roofing is a one-time interaction. With no recurring clients, those that leave reviews may not think to offer one.
A few adjustments tend to close that gap:
- Ask Right at the Moment of Completion — Satisfaction peaks right when the job is finished and the customer can see the finished result. A review request sent three weeks later, buried in a generic follow-up email, gets a fraction of the response rate.
- Use a Direct Link or QR Code — Google supports generating a direct review link or QR code that takes a customer straight to the review form, removing the multiple steps of searching for the business and finding the right listing.
- Text the Request Instead of Emailing It — Home service customers open text messages at a much higher rate than marketing emails, and a short text sent by the crew lead at the final walkthrough tends to outperform an automated email sent by the office days later.
- Make the Ask Specific to the Job — A request that references the actual work, “if you have a minute, we’d appreciate a review about the roof replacement we finished today,” reads as personal rather than templated, and tends to produce more detailed, keyword-rich reviews as a result.
Small shifts like these tend to close most of the gap between a home service business and one that collects reviews naturally.
The One Rule That Applies to Every Industry
Whatever the approach, incentivizing reviews stays off the table entirely. Google’s own policy states plainly that offering incentives, including free or discounted goods or services, in exchange for a review, a changed review, or the removal of a negative review is considered fake and misleading content, and it’s strictly prohibited.
A discovered pattern of incentivized reviews can result in review removal or profile suspension, which puts the short-term boost far behind the long-term risk for any business trying to build a durable review presence rather than a temporary spike.
Reviews Work Best as an Ongoing Habit
Reviews influence a confirmed piece of Google’s local ranking system and an increasingly important piece of how AI-generated answers decide what to mention about a business. Both systems reward businesses that treat review generation as an ongoing part of how they operate: timed to the moments when customers are most likely to say yes, handled carefully in industries where saying yes carries real legal weight, and earned honestly rather than through incentivized reviews that put an entire profile at risk.
For businesses trying to build this into a broader local search strategy, Great Leap Studios works on local search optimization and reputation management alongside the SEO and content work that supports it. Reach out to talk through where your review profile stands today and what’s realistic to build from there.
