Auto Generate Product Descriptions Using NLG
Nobody ever thinks of Natural Language Generation (NLG) when launching an online store.
But they sure do as soon as they start writing all those product descriptions.
NLG is how businesses develop auto-generated content. It’s a technology that enables users to write thousands of content pieces for different web pages without employing an army of human writers.
Is this for real?
Yes, it is indeed possible because data-to-text NLG is a branch of Artificial Intelligence (AI) responsible for creating relevant content based on data. That essentially means that you feed the system with the existing business-related information so it can craft automatically generated content.
This kind of NLG enables you to write product descriptions at scale, generating thousands of valuable pages based on your data inputs. That way, you get highly relevant product descriptions in no time, giving a big boost to your eCommerce store.
But let’s slow down here.
NLG is a broad topic, and it requires a proper explanation. In this post, we will explore what makes automatically generated content so precious. We will also show you how to use NLG tools for auto-generated content.
Table of contents
- What is NLG and how does it work?
- Benefits of auto-generated content
- How to use AX Semantics to write product descriptions
- Pros and cons of automatically generated content
What is NLG and how does it work?
Automated processes are key to success in online retail, but how do they work? How can NLG platforms create sufficient value for your business?
It depends on the type of NLG.
The two main branches of NLG are GPT-3 and data-to-text. They generate content differently, so here’s what you need to know about them.
GPT-3 stands for Generative Pre-trained Transformer. It's a type of NLG that relies on deep learning to write content. The system can learn to write by analyzing large datasets of text, including books, news articles, websites, and social media posts.
It means that GPT-3 analyzes massive content volumes online, so it can generate content based on what it has learned. GPT-3 can write in multiple styles and genres, making it versatile for a range of applications.
However, it's not suitable for product descriptions because it doesn't always write accurately. This type of NLG is prone to mistakes because it creates content on its own. If accuracy is your top priority, GPT 3 text generators are the inferior option compared to Data-to-Text solutions.
Data-to-text NLG takes data as input and generates text as output. That’s exactly how our tool, AX Semantics, works.
Data-to-text platforms are perfect for generating product descriptions, reports, summaries, or any other type of text based on predetermined sets of data.
One of the major benefits of data-to-text NLG is its ability to generate reports that are both accurate and up-to-date. That's because data-to-text NLG systems are able to extract information from data sources and then translate it into natural language.
And if you feed the system with relevant information, you can also personalize website content.
|AX Semantics: Turn generic content into personalized sales pitches|
Who says auto-generated content must be generic and superficial? With AX Semantics, you can exploit real-time user data to craft highly personalized product content. That way, your product descriptions become genuine conversion boosters.
See how you can grow conversions with personalized product content.
You need to know that NLG does not interfere with Google’s webmaster guidelines. These guidelines target content generated programmatically to manipulate search rankings using techniques like keyword stuffing or other automated processes.
On the other hand, the purpose of NLG tools like AX Semantics is actually to help users. NLG does NOT manipulate search rankings. The content is not generated programmatically but rather provides real value to the website visitor.
Data-to-text is the process of generating text that accurately reflects the meaning and intent of an underlying data set. At its most basic level, this involves identifying and extracting key concepts from data and organizing them into a clear narrative structure.
The system typically displays auto-generated content in a way that is easy for a human reader to understand. These include the following forms:
- Product descriptions for different web pages and eCommerce sites
- Financial reports
- Clinical study reports
- News reports for media outlets
NLG technology relies on complex methods and algorithms to interpret large amounts of data effectively.
One of the main considerations is the type of auto-generated content. Some texts might require more concise statements or summaries. On the other hand, other types of posts demand longer narratives with more complex structures and details.
In addition, different settings might have other language requirements to facilitate comprehension. For instance, your company might need to apply local terminology or translate the content.
|Are you expanding to international markets? AX Semantics can help you|
AX Semantics is an NLG-powered platform that generates quality content in more than 100 languages. It can even create auto-generated content in regional language variations like Austrian German or Brazilian Portuguese.
Make sure to check it out.
Your NLG system will take all these factors into account. It enables the tool to produce accurate text that effectively communicates information to readers in a human-friendly format.
Benefits of auto-generated content
The main advantages of using a tool to auto generate product descriptions are probably clear. But we want to show you that there’s more to it than you might have thought at first!
These are the biggest benefits of NLG in content creation.
1. Write high-quality product content
When it comes to product descriptions, quality is key. Not only do potential customers want to understand what a product does, but they also want to know why it's the best option on the market.
And that’s where NLG comes in.
NLG platforms like those from AX Semantics write high-quality, engaging descriptions that highlight key features and benefits of a given product. They do it based on product data, making the descriptions as accurate and helpful as possible. That is why NLG is so important for eCommerce businesses.
2. Speed up content creation
The world of online retail is very competitive, and businesses need to do everything they can to stand out from the crowd. A key part of this is creating high-quality content that accurately reflects the offered products.
But writing original descriptions can be a time-consuming process. NLG helps you by generating human-like descriptions of products.
It means you can create large volumes of high-quality content in a fraction of the time, so you are free to focus on other areas of business. NLG tools could give eCommerce businesses the edge they need to succeed in a competitive market.
3. Ensure content consistency
You control how data-to-text NLG operates, so you can set the rules of content creation. That way, you ensure content consistency.
The difference between the two types of NLG is that with data-to-text, humans configure rules and statements once in advance, and then they do not need to be checked by humans in the post-processing phase. With GPT3, human review is required in the post-production phase.
To put it simply, there is no dilemma about whether to go for automated or editorial content anymore—the former is obviously better and more efficient.
4. Search engine optimization
The goal of every eCommerce business is to attract customers, but they can’t do it without impressing search engines first. After all, reports reveal that a mere 0.78% of Google searchers click through on the second page of search results.
Your content pages must be in the top 10 if you want to increase visits and conversions.
One of the key advantages of NLG is that it can improve your search engine optimization (SEO) efforts. NLG can help you transform data into well-optimized content, so it can rank high in search engines.
5. Create content at scale
NLG tools are powerful and versatile. They can generate a wide range of product descriptions and other types of content based on user input. More importantly, they do it with minimal effort on the marketer's part.
This helps eCommerce businesses to quickly create and publish large amounts of high-quality and engaging product pages. There is no need to hire additional writers or editors anymore—NLG does it all for you at scale.
6. Reduce costs
This final advantage on our list goes hand in hand with the previous one. NLG can save you time and money compared to traditional content creation methods. Instead of hiring dozens of writers who’ll take months to create product descriptions, you can use an automation tool for quick delivery.
How to use AX Semantics to write product descriptions
We are probably a little biased—but our client stories speak for themselves. AX Semantics is an easy solution if you want to generate lots of unique product descriptions in record time.
The system is based on NLG—more specifically data-to-text so that you can make the most of this revolutionary technology. The purpose of our platform is to ensure content writing scalability without interfering with the quality of your product pages.
So, how does it work? It all comes down to three simple steps for an automated content generation:
- Upload your data: The first step is to upload product-related data to the system. It allows AX Semantics to learn about your products and pinpoint information patterns.
- Content configuration: This is where you calibrate the tool to give it instruction on how to design product descriptions.
- Generate product descriptions: Now, the tool takes over to create brand new and unique product descriptions on your behalf.
In addition to automated content generation, AX Semantics also offers real-time text personalization.
The NLG process is straightforward, but you still get hundreds or thousands of high-quality product descriptions. There’s a particular reason why NLG tools like AX Semantics are so good for eCommerce stores.
Before we explain it, you should remember there are two types of NLG tools, as we already learned:
- Platforms based on GPT3
- Platforms that rely on data-to-text.
Writing tools that use the GPT3 language production system are capable of creating text. Still, they do so by pulling data from various similar contents online, imitating writing styles. As a result, these tools cannot generate the same quality of text as data-to-text NLG systems.
Meanwhile, data-to-text NLG strictly follows your data inputs to design accurate auto-generated content.
Pros and cons of automatically generated content
Now that you know how AX Semantics works, it’s time to run through the pros and cons of auto-generated content. Let’s start with the advantages of AX Semantics.
Content personalization is one of the key eCommerce trends in 2022.
The most significant advantage of AX Semantics is that it writes hyper-personalized product descriptions. The system analyzes user-related data in real-time to display tailored content.
AX Semantics does generate content automatically. Besides that it offers real-time content personalization!
That’s why your customers will see customized product descriptions that suit the interests of each website visitor individually.
One of the most challenging tasks of eCommerce stores is to internationalize their operations. After all, they have to translate even the most minor bits of content to adjust to local markets. But with AX Semantics, localization becomes just another step in the content writing process.
This tool enables multilingual content generation by following predetermined semantic rules. It allows you to localize product pages fast.
3. Minimize cart abandonment
Do you know that the average cart abandonment rate is almost 70%? It’s a staggering figure, but AX Semantics can help you minimize cart abandonment rates.
Through personalization, website visitors who read tailored product content are less likely to leave your site and turn to the competitors.
4. Boost conversions
One benefit leads to the other, so you can expect NLG content to boost your conversion rate. Users who visit your website and find your content to be valuable will probably end up completing the purchase. In other words, AX Semantics will help you grow revenue long-term.
It’s impossible to create a perfect tool, so we need to mention a couple of drawbacks of AX Semantics.
We pay attention to our clients, and this is what they say about our tool:
1. The platform requires a reliable database
Data-to-text tools require a solid set of data to function properly. AX Semantics is not an exception because it can deliver the best results only if you feed the platform with credible product-related information.
But if your database is unstructured, you’ll probably struggle to achieve the results you expect from NLG.
2. It takes time to get used to the platform
This is often the issue with new tools and programs, but we don’t want to neglect a common user remark. Some clients think that AX Semantics can be a bit tricky in the early stages of the deployment. One of our clients wrote:
The good thing is that our customer service is always there to assist you. If you have any doubts or don’t know how to use certain features, our agents will provide help in real-time.
|NLG vs Human Writers||NLG (data-to-text)||NLG (GPT3)||Human writers|
|Localization||Yes||It is possible but no control over quality||It is possible, but the process is very slow|
|Writing quality||High||Not predictable & not controllable||Depends on your writer|
|Accuracy||Perfectly accurate||Sometimes inaccurate because it doesn’t rely on your data||Accurate (depends on your writer)|
|SEO||Yes||Yes||It is possible, but the process is slow|
|Conversion potential||Very high||Not controllable||High|
Automation goes a long way these days, so it’s not a surprise to see it affecting eCommerce content as well. NLG is the cutting-edge technology that can drastically speed up your work while maintaining the highest standards of quality and consistency.
The right NLG platform will help your business scale website content, optimize product descriptions, minimize cart abandonment, and maximize conversions. AX Semantics can do all that and a whole lot more.
So, what are you waiting for?
Sign up for AX Semantics and start your free trial today!
How do you create a product description?
A product description has to be clear and informative, stating all essential information about a given item.
A good product description should also evoke an emotional response in the reader and make them feel like they need the product. That's why you need to present the benefits of your product and its features.
Lastly, explain what sets your product apart from the competition. Why should they buy it instead of something else? If you answer this question, a reader is likely to take action and end up purchasing the product.
How do you create a unique product description?
The best way to create a unique product description is to get to know your product inside and out. What are its unique selling points? Why would someone want to buy it?
Once you understand your product well, you can start writing descriptively and focusing on its key benefits.
You should also avoid using jargon or industry terms that might not be familiar to everyone. Keep your language simple and direct, and make sure the most important information is front and center.
Besides that, don't hesitate to get creative. If your product has a quirky or interesting element, make sure to highlight that in your description.
How important is product description in every product?
Product descriptions are crucial to the success of your eCommerce business.
They play an important role in digital marketing, whether for developing an initial product concept or persuading customers to buy. They are also crucial for search engine optimization since they help potential buyers find your products more easily online.
Assuming you have a great product, compelling product descriptions can be the differentiating factor that sets your business apart from the competition and convinces shoppers to click “add to cart.”