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
NappeyValleyNet is a website that offers information targeting the Central London parenting community. It covers all kinds of data on schools, childcare etc. and wants to connect people and help them built relationships. Therefore, the content provided by NappeyValleyNet has a wide range, is detailed, and needs to be updated quite frequently.
The Challenge
It was not easy for the website to produce search engine optimized texts that would rank on Google. The sheer range of content made it hard to optimize for one keyword or category, and the publishers have been looking for years to find a solution for this issue.
The Solution
The NappyValleyNet team knew they had to find a way to automate the content writing process, but, at the same time, provide unique content. That's how they chose AX Semantics.
The Results
NappyValleyNet now offers regional property news auto-updating for every time that new data is available. Only two copywriters have generated and updated 800 texts that rank on Google and are based on government data. Due to the unique content they can produce with the help of the AX Semantics software, NappyValleyNet saves the money they would have spent for hiring copywriters. In addition, the unique content offers a real value to readers.
