AI Content Generation

AI Content Generation is the automated process of using generative AI models (LLMs) to produce written content, such as articles, blog posts, or product descriptions. While efficient, the output requires human review to ensure technical accuracy and adherence to brand voice and quality standards.

How We Use It at Soprano

We use AI to summarize our content and help us create correct structures and article depth.  We source our data, often from resource papers and own experiments and note down our own experience. We gather this in a Notebook LM project, and from this we work our way on how to break up the different content pieces into three levels:

• 1 Level: The overview article
• 2 Level: The in depth article (Non technical) 
• 3 Level: How to implement it (Technical) 

AI is perfect to help plan out this structure, and to create good dispositions of content pieces. This structure helps us both by content clustering and showing real knowledge that is one of the pillars of E-E-A-T, a framework used by LLM's to evaluate content quality.