There is a conversation happening, debating if reviews have suddenly become less impactful, less important to consumers with the introduction of AI Slop.
They have not.
Reviews, testimonials and word of mouth have always been essential to growth. Before Google reviews, people asked neighbours, family and friends. Before Trustpilot, they asked colleagues. Before LinkedIn recommendations, they asked the person they trusted in the industry who always seemed to know who was good, who was risky and who talked a better game than they delivered. The behaviour is not new. The channel has changed. What is new is the scale, speed and public visibility of customer proof. A private recommendation that once happened over a garden fence, at a dinner, at a networking breakfast, or in the slightly chaotic bit after a conference panel, now happens on Google, Trustpilot, Facebook, Reddit, WhatsApp groups, TikTok, LinkedIn and AI-generated summaries. Reputation became searchable and digital. Social proof has become structured data. Word of mouth has become part of the commercial infrastructure. AI has added a fresh complication. Reviews are easier than ever to generate, summarise, scrape, manipulate and fake. Which means consumers still need reviews, but they are increasingly aware that not every glowing paragraph was written by a real person with a real experience. Some of it may have been lovingly crafted by a machine with all the emotional depth of a compliance spreadsheet and no real life experience.
Businesses need to take reviews more seriously, not less.
Treat reviews as necessary, not as a vanity exercise, nor a badge on a website. Definitely not as “can we get a few nice quotes before the sales deck goes out?” ( You know you do it sales team. We still love you though.)
Consumers want proof and to reduce risk
Reviews are evidence. Testimonials are proof. Word of mouth is trust moving between humans. And trust is still the thing that moves markets.
Reviews Have Always Reduced Risk
People use reviews because buying is risky. That risk might be financial, emotional, reputational or practical. It might be the risk of wasting money, choosing the wrong supplier, disappointing a stakeholder, booking the wrong service, buying poor-quality goods or discovering too late that the company with the polished website has the operational reliability of a wet paper bag. Reviews help people reduce that risk. They answer the questions businesses often fail to answer clearly enough. Is this company real? Do they do what they say? Are people like me happy with them? What happens when something goes wrong? Can I trust them with my money, my home, my health, my business or my reputation? That is why word of mouth has always mattered. Nielsen’s Trust in Advertising research found that 88% of global respondents trust recommendations from people they know more than any other channel. https://www.nielsen.com/insights/2021/beyond-martech-building-trust-with-consumers-and-engaging-where-sentiment-is-high/
No surprise there. People trust people. Especially people who do not have a sales target attached to the recommendation. The commercial mistake is assuming that digital reviews replace word of mouth. They do not. They scale it. They make it visible to strangers. They allowed people to borrow reassurance from people they have never met. That is powerful, but it is also fragile.
Consumers Still Rely On Reviews, But They Are More Sceptical
BrightLocal’s 2026 Local Consumer Review Survey found that 97% of consumers read reviews for local businesses, with 41% saying they always read reviews when browsing for a business.
The average consumer now uses six different review sites when choosing businesses, which tells us something important: people are not taking one review platform at face value. They are triangulating. https://www.brightlocal.com/research/local-consumer-review-survey/
That is the behaviour of a more sceptical buyer. They still want social proof, but they want corroboration. They are looking for patterns, not perfection. BrightLocal also found that consumers care about consistency, recency, rating and response. Nearly half of consumers said they would not use a business with fewer than 20 reviews, 74% cared only about reviews written in the last three months, and 31% would only use a business with a rating of 4.5 stars or higher. https://www.brightlocal.com/research/local-consumer-review-survey/
This is where many businesses get it wrong. They think a few old testimonials are enough. They are not. A five-star review from 2021 may still be lovely, but if it is sitting alone like a dusty sun faded award in reception, it does not tell today’s buyer what your business is like now. Review strategy has to be live, ethical and continuous.
AI Has Made Fake Reviews Easier To Produce And Harder To Spot
AI has changed the review landscape in two ways. First, it has made fake reviews easier to create at scale. A poor fake review used to be relatively easy to spot: odd phrasing, generic praise, strange repetition, suspicious timing. Now generative AI can produce reviews that sound fluent, specific and human enough to pass a quick glance. It can create fake enthusiasm with decent punctuation. A chilling development for those of us who still believe commas should have earned their place. Second, AI is increasingly summarising reviews for consumers. BrightLocal found that 82% of consumers read AI-generated review summaries, with 23% willing to rely solely on those summaries to make a decision. It also noted that these summaries can make decision-making faster but may obscure details such as photos, videos and review recency, making fake reviews harder to spot. https://www.brightlocal.com/research/local-consumer-review-survey/ That matters. If AI summaries are pulling from review ecosystems, then the quality and authenticity of those ecosystems become even more important. A fake review is no longer just one fake review. It may influence an aggregated summary, an AI recommendation, a search result, a shortlist or a buyer’s first impression before they ever visit your website.
Regulators have noticed
The US Federal Trade Commission’s final rule on fake reviews explicitly prohibits reviews and testimonials that misrepresent that they are by someone who does not exist, including AI-generated fake reviews. https://www.ftc.gov/news-events/news/press-releases/2024/08/federal-trade-commission-announces-final-rule-banning-fake-reviews-testimonials
In the UK, the Competition and Markets Authority has also made fake and misleading reviews a consumer protection priority. Under the Digital Markets, Competition and Consumers Act 2024, practices including fake reviews, concealed incentivised reviews, hiding negative reviews and presenting misleading star ratings became banned practices from April 2025. https://www.gov.uk/government/news/fake-and-misleading-reviews-5-businesses-under-cma-investigation
This is not just a moral issue. It is now a compliance issue. And frankly, good.
Skepticism Is A Rational Consumer Response
Consumer scepticism around reviews is not cynicism. It is pattern recognition. People know fake reviews exist. They know businesses can be tempted to polish the truth until it stops resembling the truth at all. They know a suspicious cluster of glowing reviews can appear just after a bad one. They know some testimonials sound less like customer feedback and more like the marketing team trapped someone in a room with a brand guideline document. This is why fake reviews are so damaging. They do not only mislead customers in the moment. They weaken the whole trust environment. BrightLocal found that 97% of consumers believe businesses should face consequences for fake reviews, with 57% saying businesses caught using them should be banned from review platforms and 46% saying they should be removed from Google search results. That is a fairly clear message from consumers: do not game the trust system and then expect applause. Platforms are under pressure too. Trustpilot reported 301 million active reviews by the end of 2024 and 61 million reviews written in 2024 alone. It also reported removing 4.5 million fake reviews in 2024, with 90% of detected fake reviews removed automatically. https://corporate.trustpilot.com/trust/trust-report-2025
Google has also been tightening its protections. In 2025, Google said its systems and analysts blocked or removed more than 292 million policy-violating reviews on Maps, while publishing more than one billion helpful reviews. https://blog.google/products-and-platforms/products/maps/new-ways-were-protecting-businesses-on-maps/
The scale is extraordinary. It also proves the point. Reviews matter enough for people to fake them, regulate them, detect them, remove them and worry about them.
Google Reviews Are Often The Front Door
Google reviews matter because Google is often where people first meet a business. For many local searches, a Google Business Profile appears before the website, the sales deck, the brochure or the beautifully agonised-over “About us” page. Google’s own guidance says local search results are mainly based on relevance, distance and prominence, and that prominence is influenced by information such as links, review count and review score. Google also advises businesses to respond to reviews because helpful replies can make a business stand out. https://support.google.com/business/answer/7091?hl=en
This makes Google reviews part of both reputation and discoverability. They influence whether people find you, whether they click, whether they trust you and whether they continue their research.
For SMEs, this is especially important.
You can have a strong proposition, a brilliant founder and a service that genuinely helps people, but if your Google presence looks thin, neglected or oddly silent, customers may never get far enough to discover the good bit.
Trustpilot And Independent Platforms Add A Different Kind Of Reassurance
Trustpilot and other independent review platforms can play a different role. While Google often supports discovery, platforms such as Trustpilot can support reassurance. They allow potential customers to check a business in a space the business does not fully control. That independence is part of the value. A testimonial on your own website is useful, but a pattern of positive reviews on a third-party platform carries a different weight because the buyer feels they are seeing something closer to the public record. It is not perfect, and consumers know that. But when reviews are recent, specific, balanced and responded to properly, they create reassurance. The key word is properly. A review platform is not a magic trust machine. It is only as useful as the authenticity of the reviews, the transparency of the process and the behaviour of the business using it.
Testimonials Still Matter Because They Tell The Story Behind The Stars
A star rating is a signal. A testimonial is a story. Both matter. A Google review might say: “Brilliant service, highly recommend.” Lovely. Useful. Slightly beige. A stronger testimonial explains what was happening before, what the customer needed, what changed and why the business made a difference. It turns praise into evidence.
For example: “We were struggling to generate qualified enquiries after three years of steady but flat growth. The team at WAAB helped us clarify our offer, improve our customer journey and build a marketing plan we could actually execute. Within six months, we had better-fit leads, a clearer pipeline and a founder who no longer had to explain the business from scratch on every sales call.”
That gives a potential buyer something to recognise. It helps them see themselves in the problem and believe in the outcome. This is why testimonials, case studies, reviews and referrals should not sit in separate marketing boxes. They are all part of the same proof system. A customer says something positive in a meeting. That is word of mouth. They introduce you to someone else. That is referral. They write a Google review. That is public proof. They agree to a case study. That is structured evidence. They keep recommending you quietly for years. That is brand equity doing its job without needing to announce itself every five minutes.
Reviews And AEO: Why Customer Proof Now Feeds Answer Engines
Answer Engine Optimisation depends on clear, credible, structured information that answers real customer questions. Reviews and testimonials help because they provide evidence of experience, relevance and outcome. AI tools and search engines are increasingly trying to answer questions such as:
Who is this business best for? What problems does it solve? Where does it operate? What do customers say about it? Is there evidence that it delivers? Are there repeated themes across independent sources?
Google’s structured data guidance makes clear that review information used in search features should be accurate, visible to users and not misleading. It advises businesses to provide original, up-to-date content and warns against marking up fake or irrelevant reviews. https://developers.google.com/search/docs/appearance/structured-data/sd-policies
So AEO is not just adding a few FAQs and hoping the algorithm gives you a polite nod. It is about making your expertise, evidence and customer outcomes easier for people and machines to understand. And because AI can now summarise what customers say about you, your review ecosystem becomes part of how your business is interpreted before you enter the room.
No pressure, then.
What Businesses Should Do Now
The answer is not to chase fake perfection. Perfect reviews can look suspicious anyway. Real trust usually has texture. The businesses that will benefit most are those that treat customer proof as part of the growth engine. That starts with an audit. Look at Google, Trustpilot, Facebook, industry directories, social media and any sector-specific platforms. Do not just look at the average score. Look at recency, volume, consistency, response quality and the language customers naturally use. Then build review collection into the customer journey. Ask after a successful delivery, a resolved issue, a repeat purchase, a renewal, a milestone or a moment where the customer has clearly experienced value. Timing matters. A vague request six months later is less powerful than a simple prompt when the value is fresh.
Respond to reviews properly
BrightLocal found that 89% of consumers expect business owners to respond to reviews, while 50% are unlikely to choose a business that uses generic or templated replies.
The lesson is not that every response needs to become a miniature essay. The lesson is that people can recognise indifference through a screen.
Use AI carefully
AI can help draft review responses, spot patterns and organise feedback, but it should not replace human judgement. A response to a disappointed customer needs tone, context and accountability. “We value your feedback” repeated 400 times is not customer care. It is a screensaver with delusions of empathy. Turn good feedback into stronger assets. A short review can become a testimonial. A testimonial can become a case study. A case study can support sales enablement. A repeated phrase can sharpen messaging. A recurring complaint can identify a service weakness. Reviews are not just reputation. They are research.
Most importantly, stay ethical
Do not invent reviews. Do not hide the awkward ones. Do not incentivise positive sentiment. Do not use AI to manufacture customer proof. The point of reviews is trust. If the method destroys trust, the metric is meaningless.
The Takeaway
Reviews are not newly essential. They have always been essential. What has changed is that reputation is now public, searchable, comparable, summarised by AI and regulated with sharper teeth. Google reviews help people find you. Trustpilot and other independent platforms help people check you. Testimonials help people understand you. Word of mouth helps people believe you. In a market where consumers are sceptical, AI can manufacture fluency and every business is claiming to be customer-led, the strongest proof is still beautifully old-fashioned. A real customer. A real experience. A real recommendation. Because trust is not built by what a brand claims. It is built by what customers confirm. And inconveniently for all of us who enjoy a well-crafted proposition, customers remain the most persuasive copywriters in the room.
