AI reviews are the latest threat to online sellers

Katie Scott - business journailist
Written By
Published on 17th September, 2025

Business owners are being warned that AI is being leveraged by scammers to support fake claims of damaged goods.

Sellers on social commerce platforms such as Vinted and AirBnB are warning of a new scam in which AI-created images are being used to leverage refunds.

The rising trend is a worrying one for ecommerce business owners who could face not only the cost of refunds for items that aren’t actually damaged, but are also likely to not get the allegedly damaged stock back.

The reports come at a time when ecommerce firms are scrambling to protect their website traffic from AI-powered search, which is causing dramatic drop-offs for many businesses.

The Times is among those documenting this latest AI scam trend. It quotes experts arguing that items must be returned to prove the damage as AI can easily be used to produce fake images. Amazon sellers are also reporting a rise in these claims; and are urging caution.

However, reports suggest that this issue is being felt beyond ecommerce. In August, The Guardian reported on a case in which an AirBnB owner falsely accused a customer of damage to their property, and used AI-generated images as evidence.

The customer – a London-based academic – had booked a two-and-a-half month stay in the apartment in Manhattan but left early because she felt unsafe. She was then hit with a slew of charges after the AirBnB host accused her of a litany of damages, including splitting a wooden coffee table; and staining a mattress with urine.

The customer refuted all claims but AirBnB initially told her to reimburse the host a total of £5,314. She then fought the decision, has now been refunded and the rental company has promised an internal review.

There is also rising dissatisfaction that AI is also being used to either change products to give a false impression of quality or to turn them into something else entirely.

Science Feedback reported on finding products on Vinted that are claimed to be vintage but are actually, in reality, from fast-fashion brands including Shein and Temu.

The article describes the images as “highly aestheticised”, lending the clothes an appearance of “high quality” that, in reality, they simply won’t have. The researchers even found corresponding products on the Chinese ecommerce websites and noted that they were being listed for twice the price – if not more – on Vinted.

This is a sinister twist on the dropshipping model; and the article adds that there are even websites that can help scammers make clothes “look worn” with AI technology; but obviously not too worn to sell.

To counter this issue, customers are urged to do a reverse image search to see if the item is, in fact, vintage or fresh out of a Chinese factory.

As with all technology, businesses will have to take the bad with the good. AI is being deployed to spot defects in products before they are sent out by Amazon; but is also helping businesses streamline their logistics and speed up their interactions with customers.

Virtual influencers and AI-generated models (created with the consent of real models) can allow fashion businesses to produce thousands of images for far lower outlays to get more products online.

The key seems to be transparency. Customers need to know if an image has been AI-generated or manipulated in order to make a purchase in faith.

Scammers may be using AI to dupe; but businesses can use AI to enhance the customer experience. As with all technology, the key is honesty and trust.

Written By

Katie Scott - business journailist

Katie is a business and technology journalist with over two decades of experience covering the operational and financial challenges of scaling enterprises.

A former launch team member at Wired magazine, Katie specialised in design, innovation, and the economic impact of technology. Her expertise was further solidified during her time covering the high-growth startup ecosystem across Asia for Cathay Pacific’s Discovery magazine, where she profiled the business climates of over twenty major cities.

Now focused on the UK SME landscape, Katie is a regular contributor to leading titles including Startups.co.uk and tech.co. Her work directly addresses the topics most critical to small business audiences including business finance, operational efficiency, and FinTech innovation. She leverages her extensive background to provide clear, authoritative insights for both SME owners and high-growth founders.

More about

Popular topics

Top