In this final episode of the first season, we focus on the Semantic Workflow, created by Alexander Rodrigues Silva, drawing on 20 years of experience optimizing digital projects and connecting Semantic SEO to Library Science and Information Science.

In it, we explain why the Semantic Workflow was created and summarize its main points. Then, we explain Domain Analysis in more detail as a replacement for keyword research, and how the creation of other artifacts—controlled vocabulary and taxonomy—is the perfect complement to this new SEO strategy.

This episode was based on the book "Semantic SEO - Semantic Workflow," available on Amazon.

The episode is based on an article by Birger Hjørland, entitled "Fundamentals of Knowledge Organization" (Fundamentos da Organização do Conhecimento), which examines in depth the field of Knowledge Organization (OC), especially in Information Science and Library Science (LIS).

The author argues that OC is a vast interdisciplinary field, historically fragmented and excessively influenced by technological development, and outlines five stages of technological development, including manual indexing and citation-based recovery.

Most importantly, the connection between the organization of information and the development of the two most used mechanisms in the world: Google! Find out how Google is intimately connected to the information organization.

In this episode, we discuss the profound shift in the search paradigm brought about by the rise of Generative Artificial Intelligence (GAI) and Large Language Models (LLMs).

It was based on the article I published yesterday, which was initiated after I saw the video presented by Professor Jenna Hartel, offering a detailed analysis of Olaf Sundin's conference paper. The paper theorizes how GAI is forcing a re-evaluation of the concepts of search, sources, and information evaluation.

To write the blog post, I used Sundin's work as a starting point to argue that GAI is causing the "death of sources," since systems now provide direct answers instead of directing users to source documents.

We then agreed that this shift undermines the traditional evaluation of information and concluded that the SEO solution (Search Engine Optimization) professionals should focus on semantic SEO, making content structured and semantically rich so that it becomes a reliable source of facts that feeds AI algorithms.