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AI Answer Tracking Wins and Woes: What to Measure and How to Avoid False Wins

James Wirth - June 16, 2026

Citation Labs News

Decision Architecture: Interventions for Practitioner Choice-Point Efficiency

Garrett French - May 26, 2026

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Measuring AI Visibility When Google Answers Before the Click

James Wirth - May 8, 2026

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What TurboQuant Could Mean for the Citation Gap

James Wirth - April 6, 2026

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The Invisible Shortlist: Brands Lose Buyers Before They Compare Options

Garrett French - April 2, 2026

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Google AI Mode Changes Buyer Shortlisting: What Marketers Need To Measure Now

Garrett French - April 2, 2026

Citation Labs News

The Funnel’s New Gatekeeper: 48-Participant Behavioral Study of How Buyers Shortlist in AI Mode vs. Google’s Universal Results

James Wirth - April 2, 2026

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Measuring 3rd Party Influence on AI Answers

Garrett French - March 13, 2026

Citation Labs News

Unique Value Proposition: Designing a Zero-Friction Choice Environment for Customers

Garrett French - March 13, 2026

Citation Optimization

The Axis of Advantage: Providing Differentiated Proof That AI Cites and Buyers Trust

Garrett French - February 25, 2026

Citation Optimization

Yes, AI Rank Is Trackable: Results From 4,579 Buyer Prompts

Garrett French - February 20, 2026

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Decision Efficiency: Optimizing for the Physics of Choice

Garrett French - February 17, 2026

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