Product Description Generator: Find the Right Tool for Your E-Commerce Business

This article gives you an overview & introduction to e-commerce automation and the areas it affects.
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Do you work for an e-commerce company? Then, you know these questions all too well: How do we make our customers feel like we have exactly the product they are looking for? How do we get them to buy? Well-written and compelling product descriptions are a fundamental element of e-commerce success. However, with a large number of products, writing descriptions by hand can quickly become an overwhelming task. It is also expensive and time-consuming.

In the fast-paced e-commerce environment, it is important to have a tool that helps you describe your products quickly, efficiently, and accurately. A product description generator is a valuable tool to give your business a competitive edge and help you reach your sales goals.

We'll explain how a product description generator works, what types are available, and how automated copywriting can benefit your business.

1. What Makes a Good Product Description?

Customers decide to buy a product when they feel it meets or exceeds their expectations for quality and value. To make an informed purchase decision, they need detailed information.
Therefore, a good product description contains all important and relevant information about the product and provides additional context to explain to the reader why they need the product or what the benefits of the product are. This makes it easier for the potential customer to make an informed purchase decision.

Details that should be included in a good product description include the product name, features, benefits, price, unique selling points, size, materials used, quality standards, and any warranties. In addition, it is beneficial to provide images and videos of the product so that the customer has a complete and detailed picture of the item being offered.

Clear, concise, appealing language, with wording tailored to the target audience, helps the customer quickly grasp the content. Therefore, it makes sense to write from the customer's perspective, putting their needs first. By using important keywords and bold text, readers can quickly get an overview of all the information they need to make an informed decision about buying the product. Using the right keywords also increases the visibility of your products in search engines. This increases the chances that potential customers will find your products.

Checklist: Product description content

  • Name and brand of product (product title and brand information)
  • Type of product
  • Materials used (brief description of ingredients)
  • Additional features or benefits (product advantages)
  • Product size and weight
  • Shipping weight and dimensions
  • Instructions for use
  • Warnings, if any
  • Warranties, if any

2. What is a Product Description Generator?

Creating written content can be a time-consuming and costly task for any content strategy. Manual content creation is not only time-consuming, but also a drain on a company’s budget. A product description generator is a tool which uses AI-powered Natural Language Generation (NLG) in order to automatically generate product descriptions.

By implementing automated content creation tools, you can simplify repetitive and time-consuming writing tasks while producing engaging content that improves user engagement and conversion rates.

3. Product Description Generator: Benefits for E-Commerce Businesses

Efficiency, speed, and reliability are the three most obvious advantages of using AI-powered copywriting for businesses. By rapidly producing text for you, a product description generator saves you a lot of time and work. You can even offer your products in a number of markets by using some solutions that facilitate text production in several languages. Since compelling product descriptions also boost traffic and conversions, product descriptions turn from a cost component to a revenue driver for businesses. This presents an opportunity for growth through potential expansion.

Through the consistent and strategic use of keywords, a product description generator generates useful and SEO-relevant product page texts for your customers. While some tools automate SEO, others require keywords entry. Your product detail pages rank higher in search results when product descriptions are aligned with SEO best practices.

Furthermore, by creating consistent and engaging product pages, you provide your customers with a compelling shopping experience that sets you apart from the competition. Customers will buy from you more often when you describe your products in an engaging way that captures their attention. By also specifying your brand tonality in the product description generator, you can convey a unified and consistent brand and professional image to your customers, giving your business recognition.

The main advantages of a product description generator are:

  • Efficient and quick content creation
  • Unique and original descriptions
  • SEO compliant
  • Consistent, professional, and compelling texts
  • Strengthen your own e-commerce brand
  • Increased sales

4. How Does a Product Description Generator Work?

Due to its ability to quickly analyze vast amounts of data, artificial intelligence (AI) offers excellent prospects for automated content generation. This work does not require an editorial team. A machine can produce the same number of words in a few seconds, while a human writer can only produce an estimated maximum of 1,000 words per hour.

The generator does this using the essential product information it extracts from data (data-to-text) or a prompt (GPT).

The generator then uses this information to develop a description that is suitable for the product. Certain text creation tools can also serve as a personal content editor and have a built-in suggestion feature that offers grammatical corrections, better wording, readability advice, etc.

5. Product Description Generator Types: Data-to-Text vs. GPT

To create or automate content, product description generators use AI-powered content creation. As mentioned above, they accomplish this using either data or a prompt. These generators are built on the foundations of two distinct technologies: GPT and data-to-text.

5.1 GPT

Generative Pre-trained Transformer, or GPT, is a language model that creates natural language using deep learning.
GPT generates natural language or text using a big corpus of data. The term "natural language" describes the language that humans speak and that has evolved independently. The GPT language model, which simulates real language, has been trained on hundreds of billions of words that make up a significant percentage of the internet, including the corpus of English Wikipedia, countless books, and an overwhelming amount of web pages. This allows the model to offer a variety of ways to end a sentence and to continue the text.
GPT has a wide range of practical uses, including summarizing, answering questions, translating, analyzing markets, and many more.

For example, GPT is used for the following:

  • Helping to write lengthy texts, such as blogs
  • Conducting dialogues, as in customer service
  • Providing answers, e.g. by using chatbots to handle customer queries.
  • Developing program codes
  • Designing website templates
  • Adding data to tables

5.2 Data-to-Text

Data-to-text is the term used to describe the automated generation of natural language text from structured data. Structured data are properties that are available in tabular form, for example. Product properties from a PIM system are an example of structured data because they have information that can be used in texts.
As a result, the user has control over the text output, can intervene in the text generation process, and can make adjustments or updates. By doing this, text quality, consistency, and meaningfulness are guaranteed. Moreover, the texts are also personalisable and scalable. This implies that tools based on structured data can, for instance, generate hundreds of productdescriptions with varying details in a matter of seconds.
Furthermore, text creation is available in several languages. So you can generate the same content in English AND German AND Italian AND many other languages.

For instance, data-to-text is used in:

  • Creating landing pages that meet SEO criteria
  • generation of product descriptions and category texts for e-Commerce
  • Rapid internationalization of online business
  • Generating personalized customer communication
  • Reporting on sports or weather news
  • Stock market updates and election results
  • Descriptions of tourism offers and property descriptions for the real estate industry
  • Financial, accounting, and pharmaceutical/health reporting

Data-to-text technology is particularly suitable for the mass creation of product descriptions. This is the only way to ensure consistent quality - even in several languages - and rapid scalability of the text creation process.

The list of functions and use cases for each type of technology is summarized in the overview that follows. The overview is available as a free download:

One-pager data-to-text vs. GPT

6. What do data-to-text and GPT-based product description generators look like?

AI, NLG, GPT and data-to-text: This information was quite extensive, so you might be wondering what product description generators look like or how they operate, how they create content that complies with SEO standards, and to what degree they can expand the text generation process. To give you an insight, we will briefly introduce you to two important representatives of the GPT and data-to-text-based product description generators.

6.1 The AX Semantics data-to-text software

With e-learning courses, onboarding and live support the AX Semantics NLG software for automated content generation is built on a self-service model. It relies on artificial intelligence and is 100% SaaS (Software as a Service). This means that the software is easy to use and no programming knowledge or IT consulting is required. AX Semantics places great emphasis on UI and UX, which means the software interface is intuitive and clear.

More than 500 customers, including well-known international businesses like Otto, Euronics, and Lyreco use the automated text generation software from AX Semantics which supports up to 110 languages. One of the top five global NLG platform providers is AX Semantics, according to Gartner. The grammar user interface for editing and proofreading as well as the unique content check are noteworthy analysis features.
AX Semantics’ software generates natural language content based on structured data that is indistinguishable from handwritten text.

Quick start & easy usability of the softwareNo prefabricated text templates
Scaling of the text creation processSufficient data must be available for automated text generation
Text generation in up to 110 languages
No programming knowledge necessary
Any type of text can be generated that is based on structured data

6.2 GPT-based software ChatGPT

ChatGPT is an AI chatbot that can produce conversation responses that are real-time and human-like and can do so in multiple languages.

ChatGPT was developed to provide users with fast, accurate, and helpful answers to their questions. The creation of product descriptions is possible through prompt input with product data. The text output is possible in various languages. However, the accuracy of the statements and information needs to be verified for each language.

ChatGPT was trained until early 2022. This means that the tool can only generate texts about events and developments up to that time and is unable to provide cohesive information about current events. As a result, the tool has no information on newer or niche products. Poor text quality can be expected for text output for these products.

Provides clear responses to queriesCan generate incorrect or nonsensical content
Easy to use through prompt inputGenerated outputs from ChatGPT need to be verified for accuracy
Understands and writes code in various programming languagesNo information about products/events after Spring 2022
Ideal for creating chatbots and virtual assistantsScaling the process of content creation is hardly possible due to mandatory quality control
The answers can vary depending on how users formulate their questions

Do you want to know how automated content generation works?

Create your free AX Semantics account and take an interactive tour of our software!

7. Finding the right product description generator for your business needs

The choice of the right tool depends on the size of your business, your requirements, and your budget. When selecting a tool, it is important to ensure that it meets your requirements, that you have control over the generated content and that you can adapt texts quickly and centrally if something changes in the product data.

It is also important to choose a tool that is easy to use and customizable. This way, you can adapt the generator to your specific needs to make product descriptions even more appealing and interesting. Many tools also offer templates or customer support to help you create your descriptions, making the text automation process even faster and more efficient. A good generator also provides a preview function, allowing you to see how your product descriptions will look like.

For the creation of product descriptions, there are numerous product description generators that offer different features. Most of them are GPT-based and unsuitable for mass content production. When using a GPT-based product description generator, it is important to manually check all generated text. This is the only way to ensure that your content is of high quality, contains correct statements and the right keywords. With data-to-text software, quality assurance is not necessary due to rule-based text creation.

Finding the best solution for your needs from the many product description generators on the market can be challenging. Make sure you select the appropriate tool for your e-commerce business by taking the time to analyze the features and options of the available tools.

Feel free to contact us and discuss your use case with a customer success agent from AX Semantics. We are happy to advise you!

Do you want to learn more?

Contact us and book a suitable appointment with one of our experts.

8. Conclusion

A product description generator is a useful tool for e-commerce businesses to save time and costs. It effectively helps to present your product in detail to potential customers, improve the SEO of your texts and attract more visitors to your products.

When selecting a generator it's important to ensure that you choose a tool that meets your requirements. With many product description generators available in the market you should take the time to select the appropriate tool that meets your needs and seek advice if necessary. By selecting the right generator for your e-commerce business you can soon generate unique and high-quality product descriptions automatically, thus advancing your e-commerce business.

Further information on the topic:

What is an Article Generator?

An article generator is an AI-powered program that automatically creates content. If it is a GPT tool, it is often a free article generator tool that relies on deep learning to create relevant text. This content creation software can mimic human writing through a style transfer system.
On the other hand, some platforms are Data-to-Text NLG. They take information from a database and turn it into readable text. These tools can cover just about any topic, and you can customize the software to include specific details. Read more about the differences between Data-to-Text and GPT.

How Does an AI Text Generator Work?

AI writing tools based on data-to-text technology require structured data to develop relevant and high-quality content. You can use AI content generators for various purposes, including the creation of product descriptions, chatbots, customer service, and content automation.However, AI tools based on GPT-3 are trained with millions of web pages from the Internet.

What is the difference between GPT-3 vs. Data-to-Text?

ChatGPT is an AI chatbot that generates natural and human-like conversational responses in real time, and can also output the text in different languages. ChatGPT is derived from the GPT 3.5 language model and is described by software company OpenAI as a fine-tuned" version of it. The purpose of ChatGPT is to provide users with fast, accurate, and helpful answers to their questions. However, now and then there are errors and misinformation.

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