In today’s world, where online shopping is becoming a norm, product descriptions play a crucial role in persuading customers to make a purchase.
Traditionally, human written product descriptions were the only option available, but with the advent of Artificial Intelligence (AI), there is now an alternative. While AI-generated product descriptions may seem like a quick and convenient option, many people still believe that human written product descriptions are better.
So, the question arises, which one between a human written vs AI product description is better? The answer is not straightforward as both have their own set of benefits and limitations.
Human written descriptions are crafted by writing professionals who can understand the product’s unique features and highlight them in an engaging and persuasive manner. On the other hand, AI-generated descriptions use algorithms to create product descriptions that can be generated at a much faster rate.
In this blog post, we will dive deeper into the debate and discuss the pros and cons of both human written and AI content writer tool.
Moreover, we will explore the factors that influence the effectiveness of each type and ultimately help you decide which one is better for your business. So, let’s get started!
Human Written Product Descriptions
A human-written product description is a written piece of content that describes a product’s features, benefits, and specifications in a way that is engaging, informative, and persuasive to potential customers. It is typically written by a copywriter or a marketing professional and is intended to help buyers make informed purchase decisions by highlighting the unique selling points of the product.
A human written product description provides a clear and accurate representation of the product, its features, and its benefits. Moreover, it is written in a way that is easy to understand, with a tone that is appropriate for the target audience.
| Pros | Cons |
|---|---|
| Unique and personalized: A human-written product description can be tailored specifically to the product and target audience, making it stand out and potentially more engaging. | Time-consuming: Writing high-quality product descriptions takes time and effort, which can be a challenge for businesses with a large number of products. |
| Emotional appeal: Skilled writers can use language to evoke emotions and connect with customers on a deeper level, potentially increasing the chances of a purchase. | Inconsistent quality: Unless there are strict guidelines and quality control measures in place, product descriptions may vary in quality, tone, and accuracy from one writer to another. |
| Flexibility and creativity: Humans can use their creativity and imagination to write descriptions that go beyond basic features and specifications, highlighting unique benefits and potential use cases. | Subjectivity and bias: Human writers may bring their own biases and perspectives to product descriptions, which could unintentionally mislead or turn off certain customers. |
| SEO benefits: Well-written product descriptions can help improve search engine rankings by incorporating relevant keywords and providing valuable content for search engines to index. | Translation challenges: If products are sold in multiple languages or regions, it can be difficult and expensive to ensure accurate and effective translation of human-written product descriptions. |
AI-Generated Product Descriptions
An AI-generated product description is a product description that has been created using artificial intelligence technology, specifically natural language processing algorithms.
These algorithms analyze a variety of data sources, such as images, text, and customer reviews, to create a description that accurately reflects the features, benefits, and specifications of a product.
The process typically involves training an AI model on a large dataset of product descriptions to learn how to generate descriptions that are similar in style and content.
Once trained, the model can generate new product descriptions based on input data such as product specifications and other relevant information.
| Pros | Cons |
|---|---|
| Efficiency: AI can generate a large number of product descriptions in a short amount of time, freeing up human resources for other tasks. | Lack of creativity: AI-generated product descriptions may lack the creativity, humor, and personality that human writers can provide. |
| Consistency: AI can ensure that all product descriptions are consistent in terms of tone, formatting, and structure. | Limited understanding: AI may not have a comprehensive understanding of the product, leading to inaccurate or irrelevant descriptions. |
| Cost-effective: AI-generated product descriptions can be cost-effective since they don’t require salaries or benefits like human writers. | Limited context: AI may not be able to take into account the context of the product or the audience it is intended for. |
| Scalability: AI-generated descriptions can easily scale with the size of the catalog or inventory. | Lack of emotional appeal: AI-generated descriptions may not be able to convey the emotional appeal of a product that can drive sales. |
| Objectivity: AI-generated descriptions can provide an objective description of the product, avoiding subjective opinions that human writers may have. |
Human Written vs AI Product Description: A Comparison
1- Creativity and Originality:
Human-written product descriptions are often more creative and original than AI-generated ones. Humans can use their creativity and personal experiences to craft unique descriptions that stand out from the crowd.
In contrast, AI-generated descriptions are based on pre-existing templates and data, which can limit their originality and creativity.
2- Accuracy and Consistency:
AI-generated descriptions can be more accurate and consistent than human-written descriptions. AI can analyze large amounts of data and generate descriptions that are consistent in tone and style, with minimal errors or inconsistencies. Human-written descriptions, on the other hand, can be subject to human error, biases, and inconsistencies.
3- Emotional Appeal:
Humans can add an emotional appeal to product descriptions that AI-generated descriptions often lack. They can use language and storytelling techniques to create an emotional connection with the reader, which can lead to higher engagement and sales. AI-generated descriptions, on the other hand, are usually focused on conveying product information rather than eliciting an emotional response.
4- Time and Cost Efficiency:
AI-generated descriptions can be created quickly and at a lower cost than human-written descriptions. AI can process and analyze large amounts of data in a matter of seconds, whereas humans may take hours or even days to write a single description. Moreover, AI-generated descriptions can be easily updated and revised, saving time and resources.
How to Make AI-Generated Product Descriptions As Good As Human Written?
Creating AI-generated product descriptions that match the quality of human written descriptions can be a challenging task. However, there are several tips that can help improve the output. Here are some tips:
1- Use an AI Tool Specifically Made for Writing Product Descriptions:
There are several AI writing tools available in the market that specialize in creating product descriptions such as MagiScriptor. So consider using an AI tool that is specifically designed to understand the nuances of product descriptions and can generate output that matches the style of human-written descriptions.
2- Experiment with Prompts:
AI writing tools work by analyzing input prompts and generating output based on that. Therefore, it’s important to experiment with different prompts to see which one gives you the best results. You can try providing different types of prompts, such as bullet points, feature lists, or questions.
3- Choose the Right Tone Considering Your Target Audience:
When generating product descriptions, it’s important to consider the target audience and choose a tone that matches their preferences.
For instance, if you’re targeting a young audience, you might want to use a more casual and informal tone. On the other hand, if you’re targeting a professional audience, you might want to use a more formal tone.
4- Be Accurate with Your Data Input:
The quality of AI-generated product descriptions depends heavily on the accuracy of the input data. Therefore, it’s important to ensure that the data you provide is accurate, up-to-date, and relevant. This includes information such as product benefits, and specifications.
5- Use Grammar Checking Tools to Review and Optimize the Output:
AI-generated product descriptions can sometimes have errors in grammar, syntax, or punctuation. Therefore, it’s important to use grammar checking tools such as Hemingway Editor and Grammarly to review and refine the output. This will help ensure that the output is polished and error-free.
Frequently Asked Questions (FAQs)
Q: Which one is better, human written or AI-generated product description?
A: It depends on the context and the specific needs of the business. Human written product descriptions may be more effective in certain situations, such as for luxury or high-end products that require a more personalized touch.
On the other hand, AI-generated product descriptions may be more efficient for businesses that have a large number of products to describe, or for products that have standardized features.
Q: What are the benefits of AI-generated product descriptions?
A: AI-generated product descriptions can be more efficient and cost-effective, as they can be generated at scale without the need for human input. They can also be more objective, as they are based on data and algorithms rather than subjective opinions or biases.
Q: How can online sellers choose between human written and AI-generated product descriptions?
A: Online sellers should consider their specific needs, goals, and target audience when deciding whether to use human written or AI-generated product descriptions. They should also test both types of descriptions to see which performs better in terms of engagement, conversion rates, and other key metrics.
