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Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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Zero-Click Law: Empirical Laws of AI-Mediated Discovery v1.0

Authors: Drewis Intelligence LLC;

Zero-Click Law: Empirical Laws of AI-Mediated Discovery v1.0

Abstract

This paper introduces the Zero-Click Laws, a set of ten empirically testable propositions describing behavioral patterns in AI-mediated digital discovery. As artificial intelligence platforms increasingly resolve user queries without requiring navigation to external websites, traditional metrics of digital visibility have become inadequate. The Zero-Click Laws provide a systematic framework for detecting, measuring, and classifying the displacement of organic traffic caused by AI answer engines, featured snippets, and generative search interfaces. Each law follows a rigorous "If/Then/Measured by" structure with specific quantitative thresholds, enabling reproducible analysis across industries and platforms. This framework establishes foundational metrics including the CTR Compression Ratio (CCR), Displacement Index (DI), and Total Interaction Equity (TIE). Note: This document is strictly descriptive and serves as the scientific foundation for the Zero-Click Law System. Prescriptive compliance requirements are addressed in the companion document, The Structural Authority Standard. Supplementary Material included: Glossary of Zero-Click Law Terminology.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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