Machine-generated text creation is a relief for copywriters and content managers in e-commerce. Anyone involved in writing texts benefits from it. There are two key technologies: generative AI and rule-based data-to-text systems. Most have already had their first experiences with generative AI, most notably GPT. But how do these two technologies differ in terms of […]
The Case
As anwalt.de offers legal advice and needs to maintain a huge portfolio of law experts, they need to generate a significant amount and ever-growing collection of content for their website.
The Challenge
It is very time consuming to generate all these detailed profile texts manually and to update them accordingly. Therefore, anwalt.de needed a way to optimize their content generation process.
The Solution
The anwalt.de team knew they needed to find a way to optimize their content creation processes. So they decided to use the AX Semantics software. After only a short amount of time, only four copywriters have generated profile content of lawyers from user supplied data with the AX Semantics software.
Profile content on anwalt.de, generated with the AX Semantics software
The Results
Due to the fact, that with AX Semantics generated texts are SEO friendly and unique, this also drove the search engine rankings and visibility for local information on lawyers and legal matters. In addition, now users get an overview of law firms and lawyers addressing various legal subjects in different German areas.
