Automated text generation

Automated text generation (also NLG = Natural Language Generation) refers to the use of software and algorithms to generate texts automatically instead of writing them manually. Both deterministic, i.e. rule-based systems or large language models such as ChatGPT can be used as technologies for text generation.

Automated text creation transforms data into effective texts and makes them self-executing through automated workflows. Data-to-text systems make it possible to create, update and localise high-quality texts based on structured data, whereby the author retains control over the text results and can intervene in the text creation process at any time.

The use of AI in text generation enables companies to create, test, measure and rewrite content at scale, allowing text production to be treated like performance marketing. Through automation, companies can write thousands of unique product descriptions in different languages and keep content up to date by automatically converting data changes into new copy.

Automated text creation can be used in various application areas, including robot journalism, chatbots, content marketing, art and creativity.

In e-commerce, it enables the creation of appealing product descriptions that improve Google visibility, increase conversion rates and positively influence sales.