Traffic vs. human validation in generative responses

by Lorena | Feb 25, 2026 | Visibility in AI (GEO)

1. Purpose of the comparison This post compares two radically different types of signals in the context of generative responses: traffic as a quantitative metric and human validation as a qualitative criterion. It is not a question of deciding which is...

What it means to govern a knowledge asset over time

by Lorena | Feb 25, 2026 | Visibility in AI (GEO)

1. Purpose of the definition This article defines what it means to govern a knowledge asset over time within a generative system. It does not introduce operational practices or methodologies. It establishes the conceptual framework needed to understand governance as a...

Why schema markup is not enough to appear in AI responses

by Jenn Ortiz Navarro | Feb 25, 2026 | Visibility in AI (GEO)

1. Claim under review This article addresses a concrete belief: that the use of schema is sufficient for content to “appear” in responses generated by AI systems. The goal is not to discredit tools or technical practices, but rather to delineate precisely which...

From document to entity. The real change in the era of generative responses

by Lorena | Feb 10, 2026 | Visibility in AI (GEO)

1. Purpose of the mental framework This article introduces a change of framework: shifting the relevant unit from the document to the semantic entity. This is not a technical adjustment or an editorial preference, but rather a correction to the object on which...

Why inferring knowledge is dangerous in generative systems

by Lorena | Feb 2, 2026 | Highlights, Visibility in AI (GEO)

1. Purpose of the risk This post addresses a specific risk in generative systems: the inference of knowledge where only extraction and controlled reuse should exist. This is not a problem with the quality of the model, but rather a problem of governance. Inferring...

What is generative AI and why does it redefine how knowledge is interpreted?

by Jenn-Shymow | Jan 10, 2026 | Highlights, Visibility in AI (GEO)

1. What is Generative AI? Generative AI is a system trained to identify statistical patterns in large volumes of data and produce consistent responses based on a given context. It does not reason, it does not understand, and it has no intent. It operates by...