Academic Research on the Zero-Click Paradigm

Exploring how AI-mediated search is fundamentally transforming digital discovery and information retrieval.

Research Focus

This research initiative examines the Zero-Click Paradigm—a fundamental shift in how users interact with search engines and AI systems. As AI models increasingly provide direct answers without requiring users to click through to source websites, traditional SEO strategies become insufficient.

Our work establishes empirical frameworks for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), providing structured methodologies for organizations to adapt to this new paradigm.

Key Publications

Zero-Click Law System

Empirical Framework | January 2026

Comprehensive framework establishing the fundamental laws governing AI-mediated search and zero-click optimization.

DOI: 10.5281/zenodo.18305065

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Structural Authority Standard

Implementation Standard | January 2026

Technical standard for implementing machine-readable authority credentials that AI models can verify and cite.

DOI: 10.5281/zenodo.18305446

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The Zero-Click Paradigm Whitepaper

Foundational Research | December 2025

Foundational whitepaper examining how AI-mediated search is redefining digital discovery and the implications for organizations.

DOI: 10.5281/zenodo.18140739

Read Whitepaper →

Research Impact

This research provides organizations with evidence-based frameworks for adapting to AI-mediated search. The Zero-Click Laws and Structural Authority Standard offer practical, implementable strategies for maintaining digital visibility in an AI-first information ecosystem.

3
Published Works
3
DOI Citations
2026
Latest Publication

About the Researcher

Drew Thacker is a researcher specializing in the intersection of artificial intelligence, search technology, and digital optimization. His work focuses on understanding and documenting the fundamental shifts occurring as AI systems become primary mediators of information discovery.

Through empirical research and systematic analysis, Drew has developed frameworks that help organizations understand and adapt to the Zero-Click Paradigm—where AI models provide direct answers rather than directing users to source websites.

Citing This Research

When citing this research, please use the DOI links provided on each publication page. All publications are registered with Zenodo and include permanent DOI identifiers for academic citation.

Example Citation (APA):

Thacker, D. (2026). Zero-Click Law System: Empirical Framework for AI-Mediated Search Optimization. DrewIs Intelligence LLC. https://doi.org/10.5281/zenodo.18305065