David Valencia

AI Visibility Research

Framework

Framework

The applied framework behind this site. How structure, schema, visibility, and discoverability work together to earn AI citations.

The foundations define each condition independently. The framework shows how they combine in practice.

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The experiment that produced the framework.

A controlled experiment on a brand-new website with zero authority. The results became the framework that ties the three foundations together.

Framework

The AI Citation Framework

The AI Citation Framework defines three conditions — structure, visibility, and discoverability — developed over a year of applied research and proven in a controlled experiment that earned ChatGPT citations in 33 days with zero authority.

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Key Results

  • 33 days from domain purchase to first AI-sourced lead.
  • 122 leads in 28 days at a 24.9% conversion rate from ChatGPT.
  • Zero backlinks, zero social media, zero reviews, zero directory listings at launch.

Conditions

Three conditions that work in sequence.

Each foundation defines a different condition. The framework requires all three to be true.

Condition 1

AI Structure

The machine-readable architecture. Schema, semantic HTML, clean code, disciplined page weight.

Explore AI Structure

Condition 2

AI Visibility

The trust layer. Content matches schema context. Expertise depth replaces traditional authority signals.

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Condition 3

AI Discoverability

The recommendation layer. The completion gap and liability gap create the conditions for citation.

Explore AI Discoverability