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What generative systems actually read

What generative systems actually read

by Jenn Ortiz Navarro | Jan 8, 2026 | Highlights, Visibility in AI (GEO)

1. Purpose of the analysis This article analyzes what it means to “read” when talking about AI systems and why that notion is not equivalent to human reading of a website. The goal is not to describe interfaces, crawlers or publishing formats, but rather to challenge...
How does an AI decide what information to reuse in a response?

How does an AI decide what information to reuse in a response?

by Jenn Ortiz Navarro | Jan 7, 2026 | Highlights, Visibility in AI (GEO)

1. Purpose of the analysis The purpose of this analysis is to describe the internal functioning by which a generative system reuses information when producing a response, once the knowledge already exists and is accessible to the system. The focus is not on the result...
What does it mean for an AI to “cite” a source?

What does it mean for an AI to “cite” a source?

by Jenn Ortiz Navarro | Jan 5, 2026 | Highlights, Visibility in AI (GEO)

1. Operational definition of “citation” in generative systems 1.1 What does “cite” mean for an AI? In generative systems, citing is not equivalent to linking or reproducing a formal bibliographic reference. Citing means using a source as an...
AI Overviews: Complete Guide to GEO Optimization

AI Overviews: Complete Guide to GEO Optimization

by Jenn Ortiz Navarro | Dec 23, 2025 | Highlights, Visibility in AI (GEO)

AI-generated summaries (known internationally as AI Overviews) are radically transforming digital marketing. Unlike traditional search results, these AI-generated views not only list links, but also synthesize complex answers directly on the user’s screen. For...
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