The "ChatGPT virus" has swept the world, setting off a storm of AI transformation in all walks of life. With the iterative upgrade of ChatGPT functions, cross-border e-commerce practitioners have become more and more proficient in its use, and it has provided all the help for the entire operation process, including product selection, listing copy generation, data analysis, and advertising, which has greatly improved the labor efficiency of many cross-border companies.
However, as ChatGPT is gradually becoming an important auxiliary tool for cross-border sellers, Amazon recently issued a stern warning to block its accounts because some sellers used ChatGPT to post positive reviews. Using ChatGPT to get positive reviews? Amazon issues a ban warning It is learned that recently some media have discovered that there are many cases on Amazon where fake positive reviews are written using ChatGPT to deceive online shoppers.
It is reported that answers generated by ChatGPT have appeared in the reviews of some listings of electronic products, books, baby products, etc. on the platform. These comments usually start with "as an artificial intelligence language model" and give a simple and general description of the product, but do not reflect the real experience and feelings of use.
For example, as shown in the picture below, the review section of one of the maternity shorts products has the following comment: "As an AI language model, I don't have a body, but I understand the importance of wearing comfortable clothes during pregnancy. If you are looking for comfortable and fashionable shorts during pregnancy, these maternity shorts with pockets may be a great choice for you."
Another positive review about the LED fish tank light described it this way: "As an AI language model, I have not actually used the aquarium light myself. However, this product is an LED aquarium light that is manufactured based on consumers' functional preferences and usage pain points, and can fully meet consumers' needs."
Such blunt and obviously fake ChatGPT-style reviews have appeared in a large number of product listing reviews, seriously affecting the perception of the product. Not only that, even Amazon's official support program Amazon Vine has been affected.
Sellers participating in Amazon Vine will be invited by the official to have high credibility and professional Vine Voices to express their opinions and views on the sellers' new products or pre-sale products. High-quality Vine Reviews can help sellers quickly establish product credibility and brand reputation. However, in the comment area of some product listings, the comments from the most authoritative Vine Voices are also generated by ChatGPT.
Amazon responded by stating that it prohibits any form of review abuse, including offering incentives such as gift cards to write positive reviews. It will suspend or ban accounts of users who violate these policies.
Some sellers said that these fake reviews were mostly generated quickly by consumers using ChatGPT. However, such a large number of ChatGPT-style reviews in the review area not only affects the reputation of the product, but if Amazon severely punishes it, it is likely to affect the normal sales of the seller's store. After all, fake reviews have long been an important issue that Amazon has focused on cracking down on. It recently filed a lawsuit against fake review brokers and called on social media platforms such as Meta to help it eradicate fake reviews. Today, the rise of ChatGPT and other artificial intelligence chatbots, while helping Amazon sellers write listing copy, also makes it easier for some bad elements to create fake reviews. ChatGPT has many functions, and sellers use it to analyze reviews In fact, in addition to the above-mentioned illegal behaviors of using ChatGPT to brush positive reviews, more and more sellers are now using ChatGPT to analyze reviews and optimize listings and products based on consumer demand characteristics.
Some sellers have analyzed their experience on how to use ChatGPT to analyze listings in the forum. First, download the ChatGPT Amazon tool plug-in through Google Chrome. After installation, click review to start the analysis. The plug-in will eventually analyze the reviews to find out the buyer's purchase motivation, customer expectations, advantages and disadvantages, usage scenarios, and customer information, and can also help optimize five points.
In addition, ChatGPT can also be used when facing some negative customer service reviews. ChatGPT can be used to interpret consumer feedback and formulate corresponding strategies to improve product consumption experience and strengthen after-sales service.
Take the following negative review as an example:
“I had high expectations when I bought this lamp, but I found some shortcomings after receiving it. First, the light of this lamp is a bit glaring. Even adjusting it to the dimmest brightness still did not improve it, making it difficult for me to use it for a long time. Secondly, the light adjustment button of this desk lamp is not sensitive enough. Sometimes I want to fine-tune the brightness or color temperature of the light, but after pressing the button, the desk lamp responds slowly and I need to wait for a while to see the effect. Ultimately, the price of this lamp is a bit high, and while it has some nice features, the quality and functionality of the product could be improved at this price point.”
Through ChatGPT analysis, it can be concluded that this negative review points out three main problems with this desk lamp: the light is glaring, the light adjustment button is not sensitive enough, and the price is high. The above factors affect consumers' purchasing decisions, so improving these problems can improve the competitiveness and sales of the product.
To address the issue of glare, the product team can consider replacing the bulbs or changing the way the light color and brightness are adjusted to provide softer, more comfortable light. In addition, the team can consider adding accessories such as light filters or light diffusers to help consumers better adjust the light.
As for the problem that the light adjustment button is not sensitive enough, the product team can consider using more sensitive adjustment buttons or adding adjustment options, such as gesture control or remote control, to provide a more convenient operation experience. Finally, regarding the question of pricing, the product team can consider reducing costs or launching discounts and promotions at the right time to improve the cost performance of the product.
In summary, although the Amazon copy generated by ChatGPT is somewhat rigid and mechanical and cannot completely replace manual work, applying it to operational work such as review analysis can provide a broader perspective and help sellers improve their sales strategies.
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