Frequently Asked Questions

Automated content generation with AX Semantics works with the help from Natural Language Generation (NLG) - a technology that generates high-quality and unique content on the basis of structured data that can't be distinguished from manually written content. Typical uses for text automation are product descriptions, category content, financial or sport reports or content for search engines websites - in a nutshell, all kinds of content that require large quantities and have a similar fundamental structure.

With the help of automated content creation, you can save up to 80% of the time used for repetitive writing tasks. By automating the repetitive bits of the task, human productivity will increase significantly. As a result, it is possible to create unique and customized content of large quantities - in 110 languages. In this way, new content formats are created and the days of duplicated or low quality content are over.

The duration of generating the first content depends on different factors: What kind of content is intended to be generated? Is a data base already available? How complex and diverse should the content be? We recommend an iterative approach - start with a minimal content sample and continue with expanding and improving the project one sentence after another. Many of our users publish a first version of the content after a few days. Regenerating content is included in the license fee, so already published content can be constantly upgraded. A regular content upgrade under SEO aspects with regard to content freshness is highly recommended at all events.

Among others, the software uses NLP in form of machine learning tools for the language and grammar components. The initial configuration of rules, phrases, tonality etc. lies entirely in the hands of the editors, to make sure that the content and style are the way the users want them.

The results of many AX Semantics clients demonstrate that automated content is worth the effort when it comes to SEO. The luxury fashion e-commerce company, MYTHERESA, increased the visibility for relevant keywords by 80% within 6 months of starting automated content. Another example is the company KitchenAdvisor. It reported an increase of 0.7 to 1 in Sixtrix visibility within 3 months. Read the interview with Antonia Keule from KitchenAdvisor here: https://en.ax-semantics.com/blog/saving-time-while-increasing-seo-visibility-how-kitchenadvisor-achieves-success-with-automated-content-generation/

Yes, we have several case studies, including examples of content pieces that were created with automated content generation and were posted on our English website. Content examples are only conditionally convincing: The content design and thus the content quality is completely the responsability of the user. Whoever still wants to have an overview of what other companies achieved with AX Semantics, can find some customer examples under Case Studies:  https://en.ax-semantics.com/case-studies/ 

The AX Semantics software is designed to create thousand unique content pieces. Many users publish the content online with the goal of gaining visibility on Google. Therefore, there are many functions available within the tool to ensure variety and uniqueness. Basically, the functionality is as follows: After an initial configuration, you can generate unique and high-quality content based on structured data with the software. You create one time logical and content blocks and variants for all possible "results", as needed. This allows you to make evaluations, assesments and conclusions in the content piece. Everytime a new piece of text is regenerated, the software creates natural language content from the information found in the data and puts together each component according to the predefined rules to create a new unique piece of content.

Structured data is data that adheres to a pre-defined data model and is therefore easy to analyse. Structured data conforms to a well designed pattern, for example a table showing connections between the different rows and columns. Common examples of structured data are Excel files or SQL databases. Structured data is an important basis for automated content generation. For product descriptions in e-commerce, for example, these are often available in a shop system, product information system (PIM) or in the shop.

Our software is managed by editors and makes the creation of content based on structured data that is indistinguishable from handwritten content possible. This is called hybrid writing. This means that editors use our tool to automate repetitive writing tasks whose manual creation would require too much effort. As a user, you create logical and content blocks once for all possible "events". The software forms natural language content out og this and out of the information it finds in the data. In this way, evaluations, assessments and conclusions can be made in the text. The configuration of the rules, statements, tonality etc. is completely in the hands of the editors. This ensures a high quality content.

Natural Language Generation (NLG) refers to the automated generation of natural language by a machine. As a subdomain of computational linguistics, the generation of content is a special form of artificial intelligence. Natural language generation is used in many sectors and for many purposes, such as e-commerce, financial services, and pharmacy sector. It is seen to be most effective to automate repetitive and time-intensive writing tasks like product descriptions, reports or personalized content. Read more: https://en.ax-semantics.com/natural-language-generation-explained/ 

API (Application Programming Interface) is a program interface which allows you to access the functions of an app. This includes data import, content generation or the integration of automated content onto your own website: All functions of AX Semantics NLG Cloud are available via our REST API and each action can easily be automated.

"Free text refresh" means that you can generate and update texts for your uploaded data sets at any time, for example if a data value changes. This way you can keep your texts always up to date - completely automatically.