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Sly before you buy? The murky world of online reviews

March 2026
 by Barney McCarthy

Sly before you buy? The murky world of online reviews

March 2026
 By Barney McCarthy

In today’s digital society, it has never been easier to purchase products, services, and pretty much anything else the heart desires, at the click of a button. But what consumers have gained in convenience, they have lost in terms of in-person quality control – feeling the calibre of fabric between their fingers or being reassured by an informed and persuasive salesperson. In this vacuum, online reviews have become an integral part of the purchasing process, particularly for large-ticket items, as individuals seek validation in the form of testimonials attesting to the quality and authenticity of what they are about to buy.

While word-of-mouth recommendations still carry some weight, they aren’t always suitable, relevant, or available. You may not know someone who has needed the specific product or service you are after, it may be a discreet or confidential purchase, or time might be of the essence and an immediate and impartial temperature check is required. The aforementioned technological revolution means that, in the same way the purchasing process has become easier, so too has soliciting wider opinion on the exact acquisition you intend to make.

Deal or no deal

Take Amazon, one of the world’s largest retailers, as a case in point. Amazon features customer reviews front and centre to help inform purchasing decisions. However, according to some sources, as many as a third of reviews of top products on the website could be fake. These insincere appraisals usually take one of two main forms: brands fabricating reviews to boost their own reputation or intentionally spreading disinformation about a rival in an attempt to gain a competitive advantage.

The advancement of AI means it’s never been easier for brands to disseminate inauthentic reviews, rendering it no longer necessary to enlist humans as bad actors to execute a black hat campaign. Google is often the first port of call for any online journey – including potential purchases – and as a result its own reviews have come to be trusted by users. While not a failsafe to prevent those acting with untrue intentions, there is a verification process required before reviews can be posted, which is likely to deter more casual nitpickers. However, according to research by AI detection software provider Originality.ai, the proportion of AI-generated reviews on Google grew by a huge 279% from 2019 to 2024 and increased from 12% in 2023 to 19% in 2024.

AI reviews differ from outright fake testimonials in that a percentage of them may not be entirely fabricated as much as being originally drafted by humans, then finessed or improved by the technology available. But it is important from an ethical and transparency standpoint that companies distinguish between human reviews and ones that have been artificially generated. Seasoned shoppers may be able to tell the difference between the two, but occasional online users are likely to require a little more assistance. It’s a delicate matter for companies too; being authentic and gaining consumer trust is a difficult process, but losing this confidence is far easier. 

Counting the cost

The ultimate impact – not to mention cost – of fake reviews is borne not just by companies themselves should they be exposed, but also by the consumers who are hoodwinked into buying inferior products or services in the first place. It is impossible to quantify the full financial harm of fake reviews – not least because a large percentage of consumers who have been misled are likely to be too embarrassed to admit to being deceived – but it is likely to amount to billions of pounds globally. The same economic analysis that calculated this estimation of the potential consumer harm caused by review fraud – carried out by The Transparency Company, a tech firm which uses AI to detect inauthentic reviews – also estimated that the average US household suffers losses of $2,385 (£1,778) on an annual basis.

An additional layer of complexity regarding the realm of online reviews is the way that online search behaviour is changing, with younger generations in particular more likely to turn to large language models (LLMs) than traditional search engines. That being the case – and given the previously referenced rise in AI reviews – we have essentially arrived at a point where we are asking robots themselves to identify their bot brethren, a somewhat Orwellian scenario. Studies in this area are understandably scarce given the relative infancy of LLMs, but early analysis suggests chatbots struggle just as much as humans to ascertain which online reviews are genuine.   

Caveat emptor

Whether you are researching your latest holiday or simply sussing out how reliable a Vinted vendor is, the age-old principle of ‘buyer beware’ applies to all purchases – online or in-person. Always apply critical thinking to every scenario and bear in mind that if something appears too good to be true, it most likely is. Seek reviews from a variety of sources and cross-reference them with each other to check for inconsistencies that may appear.

From a brand perspective, authenticity and transparency are bywords that businesses often live by, and it’s no different when it comes to testimonials. While businesses shouldn’t automatically assume every negative review is inspired by an ulterior motive from a conniving competitor, it has never been more important for brands to be mindful of the threat that online reviews can represent, as well as the potential opportunities.

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