Dr. Erin Jacques

Dr. Erin Jacques

Founder, ChatifyIT • Professor of Informatics • AI Entrepreneur

I hold advanced degrees from Columbia University and the University of Pennsylvania. My research focuses on analyzing authority signals across AI platforms.

Research and business are two sides of the same coin. I'm nosy, and that nosiness has led me to discover my greatest loves: entrepreneurship and research — both of which are now on steroids with AI. It's time you discover how AI can transform your life.

The Authority Signals Framework

Understanding which sources AI systems prioritize requires asking four critical questions

Institutional Affiliation

"Who published it?"

Institutional Affiliation answers "Who published it?" by categorizing sources by organization type (.edu, .gov, .com) to reveal how institutional credibility influences health citations.

Author Credentials

"Who wrote it?"

Author Credentials answers "Who wrote it?" by capturing individual-level expertise through professional degrees, certifications, and medical specialization. Variables range from no author attribution to visible medical credentials with specialty identification.

Quality Assurance

"How was it vetted?"

Quality Assurance answers "How was it vetted?" by documenting editorial processes and evidence standards through presence of medical review statements, content recency, and citation of supporting references.

Digital Authority

"How does AI find it?"

Digital Authority answers "How does AI find it?" by quantifying web-based credibility signals including Moz Page Authority, Domain Authority, spam scores, schema markup implementation, and content length.

The Research

Systematically documenting how AI platforms evaluate and cite sources across the ecosystem. Each study captures baseline patterns before optimization becomes widespread.

ChatGPT Authority Signals

Analysis of 615 health sources cited by ChatGPT across 100 consumer health questions. Identified 12 authority signal variables revealing three distinct credibility strategies.

LIVE
APA
Jacques, E., Datuowei, E., Jones II, V., Basch, C., Vanderpool, C., Udeozo, N., & Chapa, G. (2026). Authority Signals in AI Cited Health Sources: A Framework for Evaluating Source Credibility in ChatGPT Responses. arXiv preprint arXiv:2601.17109.
BibTeX
@article{jacques2026authority, title={Authority Signals in AI Cited Health Sources: A Framework for Evaluating Source Credibility in ChatGPT Responses}, author={Jacques, Erin and Datuowei, Erela and Jones II, Vincent and Basch, Corey and Vanderpool, Charles and Udeozo, Nnamdi and Chapa, Guillermo}, journal={arXiv preprint arXiv:2601.17109}, year={2026} }

Perplexity Authority Signals

Systematic analysis of citation patterns in Perplexity AI. Examining how this platform evaluates health information sources compared to ChatGPT's methodology.

Coming Feb 26th

COMING SOON

Claude Authority Signals

Comprehensive analysis of Anthropic's Claude citation methodology. Investigating authority signal patterns and source selection criteria.

Coming Feb 17th

COMING SOON

Gemini Authority Signals

Examining Google's Gemini AI platform to understand how authority signals influence source citation in health information queries.

IN PROGRESS

Comparative Analysis Across Platforms

Cross-platform analysis examining differences and similarities in authority signal patterns across ChatGPT, Claude, Perplexity, and Gemini.

IN PROGRESS

Work With Me

ChatifyIT

SaaS platform helping entrepreneurs create AI agents for lead collection and business automation. Built on research-backed strategies that turn expertise into scalable income streams.

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Answer Engine Optimization

Learn how to optimize for AI platforms through research-driven courses. Discover how to use the Authority Signals Framework™ to get your content cited by ChatGPT, Claude, Perplexity, and Gemini.

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Book Dr. Erin Jacques to Speak

Keynotes • Workshops • Panels

Bring research-backed insights on AI, authority signals, and answer engine optimization to your next event. Dr. Erin delivers engaging talks that bridge academic rigor with practical application.

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