There is no doubt that content is king on the internet. The problem is that creating quality content takes a lot of time and effort. This is where automatic copywriting comes in: you can use it to generate your content.
In this blog post, we explain how this works and show you some ways you can create content automatically. We also talk about the benefits of auto-copy and show you some examples of the type of content that can be auto-generated. Finally, we explain why structured data is so important and show you how you can use structured data to create automated tests.
How do you create content these days?
The demands for content marketing have increased significantly in recent years. The rise of social media and the need to produce content for multiple channels (e.g. for your website, blog, email newsletter, and social media) has made it necessary to create lots of content quickly. In order to generate large amounts of content ideas and use them in the texts, you have to employ large content teams. Producing large amounts of high-quality content productively is simply not possible.
Another problem with content marketing is that content creation is connected to many other areas in the company. This requires knowledge of various disciplines from content teams, including SEO, design, project management, and many more.
It is crucial to find real content experts. They not only have to come up with great ideas but also have the ability to implement them.
Content marketing not only includes content creation but the entire process of content production. This includes the content strategy (goal setting, the definition of the target group, and more), the development of content ideas, the actual creation of content, the operation of CMS systems, content control, and so much more.
Measure content success
Another challenge that content managers face nowadays is to measure the impact of the content and to show the ROI (return on investment). The problem is that it is often difficult to attribute conversions to specific content and thus assess their effectiveness in the content strategy.
This is where data analysis comes into play. By analyzing user behavior, it is possible to understand how they interact with the content and what influence the content has on their decision-making process.
What is automatic text creation?
Automated content creation is the process of using artificial intelligence (AI) to create text. With the help of semantic software, texts are created that correspond to a specific topic.
The fields of application of this technology are diverse. It can be used, for example, to create product descriptions, but also for travel descriptions, news articles, marketing texts, sports, weather reports, and much more.
Generate texts automatically: What are AI and NLP?
Automated content creation is a process that uses artificial intelligence (AI) to write or generate text. This can be done through natural language processing (NLP), a type of AI that enables computers to understand human language and generate content.
NLP is a branch of artificial intelligence that deals with the interpretation and manipulation of human language. NLP algorithms are used to generate text, parse and understand, and generate new text that is similar in meaning to the original text.
There are many different uses for NLP, including machine translation, chatbots, and predictive text. NLP can also be used for automated text writing.
Benefits of automated content creation
The main advantage of automated copywriting is that it can save you a lot of time and money. Time-saving is especially important for businesses that need to produce large amounts of content on a regular basis.
In addition, technology can help you improve the quality of your content. Because the software used for the automatic text creation is constantly learning from new data and getting better and better over time.
However, it is crucial that different phrases, sentences, and synonyms are used for content creation, which means that the texts are of high quality and always unique.
The next benefit of auto-copy is that it can help you scale your content. With the help of automatically generated texts, you can quickly and easily create large amounts of content without having to hire additional employees.
An efficient content strategy is another advantage of the technology. Automated content creation can help you better plan and control your content strategy. For example, you can use new data for texts that have already been created in order to create new content even faster.
Finally, the automatic creation of content is also interesting for international companies. Technology can help you create content in different languages quickly and easily.
Automated creation of eCommerce product descriptions
Thanks to the automation of text production technology, any number of different texts can be created. This method is based on deep learning technology, which understands not only the characters of a text but also the meaning.
Generating content for eCommerce is one of the most popular use cases for automated copywriting. That’s because product descriptions in ecommerce are often repetitive and can be easily created with the right data.
For example, if you have a data set of product features, you can use an AI algorithm to create a unique description for each product. This is especially useful for online stores that need to create thousands of product descriptions.
What is structured data and why is it important?
The data must be structured and maintained consistently so that automated texts (and other automated processes) can be implemented. Maintaining structured data is an important prerequisite for the sales success of an online shop. They are also an important competitive advantage for e-commerce companies.
Good product data helps to find the products online. They also help to structure the offer better and to better inform customers.
What is well-structured product data?
Whether automated creation of product descriptions, data analysis, personalization tools, or the use of product configurators – your data must have a certain form and meet certain requirements. Here are a few examples:
- The structure of the product data must be unique. This enables the implementation of a large number of functions. For example, products can be linked together. In this way, you can specify that a product with a specific feature can be combined with items in a specific category.
- Product data must be maintained consistently, for example by using the same spelling of certain characteristics for all products.
- You must assign a unique SKU to each product in the online shop. However, the product record should also contain attributes that can be used to uniquely identify the product. Attributes such as color and size are examples of this, but so is the brand name.
This is how the creation of automated product descriptions works.
The concept of urtexts for automated copywriting
In order to determine whether automated product descriptions can be created with the existing product data, you first have to analyze and evaluate this data. This is done to find out how the product data is currently structured and what attributes exist for each product.
In the next step, the copywriter checks whether all the necessary information for creating descriptions is present in the data. If not, you have to add them manually or import them from another source.
What will the future text look like? ? This can be defined by creating so-called urtexts. These are texts that show examples of which sentences can be created based on which data.
When creating urtexts, it is important to note which attributes are available for each product. The goal is to create a text that outputs as many relevant attributes as possible in the product description without making the text too long or repetitive.
Create copywriting scaffolds
After you have created the original texts, you need to deal with the concept of the text. This takes place in the so-called text frameworks. Text frameworks are the basis for the automatic creation of texts. You determine which sentences the software should generate from which data, write out all synonyms, and define rules as to when which texts must be output.
Associate text skeletons with the data
You will also take care of programming the sentence structures. This is done with special software. The sentence structures are linked to the product data. In this way, one can define which sentences are generated from which data.
Generate content automatically
Now the automatic text generation can begin! By linking the sentence structures with the product data, you can automatically create product descriptions for all products in the online store.
FAQ: Automatic text creation for e-commerce
Can you create product descriptions automatically?
Yes, the technology of automatic text creation can also be used to create product descriptions. With this technology, product data serves as the basis for text creation. This data contains all relevant attributes that copywriters convert into an easy-to-read continuous text.
What is structured data and why is it important for text creation?
Structured product data is formatted data that can be easily read and understood by machines. This is important for text creation because it helps the software create text that is relevant to the products.
How much does automatic text creation cost?
It depends on the content project and its goals. The price consists of the cost of using the semantic software and the text creation service.
How long does the text creation take?
Depending on the number of data records, the actual text creation takes from a few minutes to a few hours once you have done the preparatory work: data analysis, creation of text frameworks, and subsequent programming.
What is required for automated copywriting?
Structured data (e.g. product data) and the semantic software.