Why Robot Can’t Sell: 6 Reasons AI Isn’t Ready to Replace Your Product Writer

Imagine this: You’re browsing for a new pair of running shoes. You come across a product description that reads: “Experience optimal comfort and performance with our revolutionary running shoes! These shoes have premium materials and will propel you to new heights. Order yours today!”

Something feels off. Why? It’s generic, lacks personality and does not convey specific benefits according to the scenario and context. Moreover, it lacks the details, the excitement, and the emotional connection that would entice you to click “Know More” or “Add to Cart.” 

This, unfortunately, is the reality of many AI-generated product descriptions. While AI offers speed and efficiency, relying solely on it can sometimes lead to bland, inaccurate, and even misleading content. 

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The pitfalls of unsupervised AI-generated product descriptions

Here are the disadvantages an eCommerce seller faces when they generate and post product descriptions using AI tools.

1. Generic and uninspiring

AI descriptions often need more creativity, customer orientation and a brand voice that resonates with customers. They can feel robotic and generic, failing to capture the essence of your product and brand. For instance, imagine a description of a stylish shoe that states, “Perfect for everyday wear.” It tells you little about what separates it, leaving customers disengaged and indifferent.

2. Accuracy issues

Misinterpreting features, missing crucial details, and failing to grasp the target audience are common pitfalls of AI-generated descriptions. This can lead to inaccurate or irrelevant information, which might mislead customers and damage your brand image.

Let’s say you’re selling a watch, and instead of accurately stating it as water-resistant, the AI erroneously labels it as ‘waterproof’ or vice versa. Such errors frustrate buyers and tarnish your brand’s reputation, undermining trust and credibility.

3. Ethical concerns

Biased training data can inadvertently lead to discriminatory or offensive language in AI-generated descriptions, posing ethical dilemmas for businesses.

Consider a beauty product description with gender stereotypes or promoting unrealistic beauty standards. Moreover, AI-generated content may exaggerate product benefits or deceive customers, raising ethical concerns and potentially inviting legal repercussions.

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4. Lost in translation

AI often struggles with nuances in language and cultural references, risking insensitive or confusing descriptions, especially in global markets.

Imagine a product description with slang unsuitable for a particular audience or cultural references that fail to resonate. This disconnect can alienate potential buyers and hinder market penetration. For example, translating the phrase “This trendy phone case is the bomb!” might result in an inappropriate and confusing literal translation.

5. Formulaic fatigue

The repetitive use of AI-generated templates can render product descriptions predictable and monotonous.

When competitors utilize similar AI tools, descriptions across the market become indistinguishable, making it challenging for buyers to discern unique value propositions. As a result, differentiation becomes paramount in capturing consumer attention and fostering brand loyalty.

How do you ensure your product description stands out amidst a bulk of similar content? This question underscores the inherent risk of formulaic fatigue associated with unchecked AI usage in content creation.

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6. Inability to adapt to dynamic situations

AI needs help to handle real-time updates, promotions and customer feedback, requiring constant human intervention to keep descriptions relevant and accurate.

But amidst these challenges, we must recognize that 25% of businesses adopted AI for product description writing in 2023. So, the question persists: Is AI truly a poor choice for crafting compelling product descriptions?

The right way: A human-AI partnership

Rather than viewing AI as a standalone solution, combining human creativity with AI efficiency offers the best of both worlds.

Human writers bring empathy, cultural understanding and creativity to crafting compelling narratives. Meanwhile, AI algorithms excel in data analysis and optimization. Together, they form a symbiotic relationship, producing product descriptions that captivate audiences and drive sales.

This collaborative approach ensures a balance of human insight and AI precision, making it the right choice for crafting engaging product descriptions. 

Partner with product description writing services providers for compelling copies

Learning and mastering AI tools for generating product descriptions can be time-consuming and complex for sellers. Product description writing services providers offer an alternative, allowing sellers to bypass the learning curve and access expertly crafted descriptions without investing significant time and resources in AI technology.

Content writing service providers bring on board experienced writers who excel in crafting engaging narratives and compelling descriptions, ensuring that products stand out amidst the competition.

They integrate AI tools smartly into their workflow. AI algorithms assist in data analysis and optimization, enhancing the efficiency and effectiveness of the writing process without compromising on the human touch. Expert writers possess the knowledge and skills to accurately convey product features and benefits to the target audience. 

Moreover, they are well-equipped with measures of ethical considerations associated with content creation. They ensure that descriptions adhere to ethical standards, avoiding discriminatory language or misleading claims that could harm brand reputation.

The bottom line

AI offers immense potential, but it thrives under human guidance. By understanding its limitations responsibly, you can unlock a lot of benefits.

Remember, AI is a tool, not a savior.

Use it wisely, and witness the transformative power of a human-AI partnership in crafting product descriptions that convert leads, build brand loyalty and propel your business to new heights.

Gracie Ben is a data analyst currently working at DataEntryIndia.in, a leading company providing data entry & mining services & other data-related solutions. For more than ten years, she has actively contributed to the growth of many enterprises & businesses (startups, SMEs, and big companies) by guiding them to utilize their data assets. She has written over 1600 articles and informative blogs so far covering various topics, including data entry, data management, data mining, web research, and more.