The text discusses the importance of relevance in content marketing, particularly in digital publishing. It highlights how having a visitor on-site, it's challenging to keep them engaged and moving towards a recurring relationship with the business. The key to solving this challenge is providing relevance to visitors through various means such as recommending similar pieces of content, using metadata to boost engagement, and organizing content in categorical and hierarchical manner. The author shares their experience of implementing a graph database solution using Neo4j to solve this problem, leveraging the Stack Overflow tags corpus to generate metadata for content tagging, and building an ontology to classify latent connections in the network. The approach allows for dynamic categorization, content filtering, and collaborative filtering, enabling flexible and scalable solutions for customer experience.