Content Automation

The machine-driven creation of text, also known as Content Automation or Natural Language Generation (NLG), is a subfield of artificial intelligence. The prerequisite for automated text generation is structured data or access to large datasets. Wherever vast amounts of data are generated—such as in digital commerce, the media industry, stock markets, or sports, business, and weather reporting—automated, diverse, and engaging content can be created.

With Retresco’s content automation solution, textengine.io, customers can generate highly personalised texts in multiple languages. The system converts data into natural language text automatically. The underlying technology, Natural Language Generation, is based on pre-configured text templates that define the content framework using rule-based structures.

Retresco’s approach relies on once-configured text templates, offering the significant advantage of enabling 100% content automation after the initial setup. All automatically generated texts are grammatically and syntactically flawless, ensuring legally sound and verifiable statements—an essential requirement for many use cases.

For a more creative approach to content automation, Retresco also integrates with the latest large language models (LLMs). These models use deep learning to train on freely available internet content, acquiring the necessary knowledge to generate high-quality automated text. The marketing promise of this NLG approach is that any content type can be generated “on demand” without an initial setup.

By integrating large language models with its proven, template-based approach, Retresco provides a content automation solution that supports all relevant use cases and text types, combining the best of both NLG worlds. To enhance efficiency and reduce time-to-market, unstructured data can also be used to generate varied text variations and keyword sets. Customers benefit from high flexibility and a quick start to their content projects.

Content Automation is useful wherever texts are needed regularly. AI-driven text models and text variation suggestions are based on customised prompts. Often, a few structured or semi-structured product attributes are enough to generate initial drafts. Additionally, texts can be easily restructured and rewritten using Retresco’s content automation solution, textengine.io. Content teams can select from AI-generated text suggestions and insert them into their workflows. Predefined rules and conditions, as well as hardcoded story plots, ensure text accuracy.

With seamless LLM integration, content, SEO, and marketing teams can autonomously manage and optimise text automation. The entire content production process can be centrally managed—both for text-to-text and template-based approaches.

Retresco’s content automation solution, textengine.io, supports all desired text types. Customers benefit from complete keyword sets and automated descriptions for online shops, marketplaces, and similar content projects. Unique content in the form of original texts is generated, which can be updated and regenerated at any time. Additionally, relevant keywords can be automatically integrated into the required text types, including generated links that are regularly updated.

All text types can be automatically equipped with customised meta descriptions and title tags to improve visibility on search engines and drive organic traffic. Alongside customer-specific instructions and prompts, predefined formats such as headlines, intros, messages, paragraphs, and calls to action are available for different text types. Thanks to seamless LLM integration, high-quality, SEO-compliant texts can be created quickly and easily.

Retresco’s content automation solution explicitly incorporates human intervention through a Human-in-the-Loop approach. This strategy combines the advantages of AI-driven automation with human oversight and expertise to produce high-quality, relevant, and consistent texts tailored to specific business needs. Human involvement occurs at several stages:

• Editing Text Templates: Humans refine data-based text templates to optimise content automation at its source. These templates are crucial for accurately transforming provided data into coherent texts.
• Quality Control: Before publication, humans review automatically generated content to ensure accuracy, relevance, and quality.
• Continuous Optimisation: Humans monitor the performance of content automation and make ongoing adjustments to enhance efficiency and precision.

This flexible Human-in-the-Loop approach allows for adaptation to individual requirements and updates, ensuring that brand and product messages are generated uniformly and consistently.

Large language models, such as OpenAI’s GPT models or Google Gemini, are based on publicly available internet data. Consequently, these technologies may inadvertently adopt implicit or explicit biases or negative attitudes present in the data, which can then be reflected in the automatically generated content. Therefore, Retresco cannot entirely rule out the possibility of content distortions in AI-generated texts. In practice, AI-based texts should always undergo quality control.

As an AI company, Retresco acknowledges its societal responsibility. Operating at the intersection of technology, business, and society, we actively embody values of transparency, traceability, accountability, and value orientation. We operate within a framework based on binding values of fairness, transparency, responsibility, security, inclusion, and accountability to use Artificial Intelligence in a trustworthy and human-centred manner. By considering these ethical aspects, our customers can economically harness the full potential of Artificial Intelligence.

Retresco offers a comprehensive end-to-end content automation solution that covers the entire content creation process—from data collection and text generation to distribution. This approach enables companies to manage the entire process of text generation and optimisation automatically, without the need for additional tools.

In implementing content automation and data exchange, companies benefit from a flexible API that leaves nothing to be desired. The API, data-driven approach, and continuous technological advancement make Retresco an ideal partner for companies operating a PIM or similar system and aiming to optimise their content strategy. Retresco’s API allows seamless integration into existing systems and workflows. Companies can use the API to efficiently organise data exchange and automation without requiring extensive adjustments. The generated content is automatically fed into relevant systems, such as content management systems, e-commerce platforms, or similar solutions.

By combining data-based text models with the capabilities of large language models, Retresco enables companies to efficiently and effectively manage demanding content projects, significantly reducing time-to-market. This is particularly beneficial for multilingual projects, as all common European languages are supported. Through the seamless integration of large language models into textengine.io, companies benefit from the latest possibilities in AI-powered content automation, combined with text variance for compelling copy and high SEO relevance.

Overall, Retresco’s solution is designed to automate the entire content creation process, providing companies with an efficient and scalable way to produce high-quality, unique content across various channels and languages.