With generative AI getting ready to throw everything architect data back into the blender, both for users and for those who work on sites, there is a need for someone to build a framework in which we can all work a little more peacefully . This is the idea explained by Volpini in the video published on YouTube on the official account of Search Engine Journal dedicated to SEOntology.
In the definition given by Volpini, SEOntology is something that resembles a vocabulary of terminology shared between experts in a sector but it distances itself from the simple vocabulary because it manages to visually give the connection between the different terms that are used. The framework has its own space on GitHub.
But why do we need this vocabulary in fact and how can it be used? Its ultimate purpose is to make it easier to talk to each other even if you are using different conventions in naming the same elements to evaluate the performance of an element of your SEO strategy.
If we all agree on the nomenclature and what each element means, we can compare data more quickly, even using AI tools. And comparing data, which happens more quickly, also allows us to shape our strategy more quickly so that it responds to the needs expressed by users.
The ultimate goal of any SEO strategy is to give users a way to know the contents of a reality that could answer a question, a need, a necessity. If the lens through which the user searches for answers to their questions changes, the danger of going in a scattered order increases as does the risk of wasting time on those practices that no longer work or that no longer work as before.