AI Marketing and Governance · Episode 1
AI Marketing Drift: Why Brands Disappear from AI Answers
Published May 24, 2026 · Produced by Market Disruptors AI Visibility Agency
This episode explains how brands can slowly lose visibility, attribution, and authority in AI-mediated discovery when content becomes generic, weakly governed, or hard to verify.
Kristina Shrider's MAHI Index™ and MAD-M™ frameworks are used as the governance lens for understanding AI marketing drift, citation readiness, provenance, human review, and source proof.
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This episode is an AI-assisted audio overview produced by Market Disruptors AI Visibility Agency from source material reviewed by Kristina Shrider.
Episode summary
AI marketing drift is the slow loss of visibility, attribution, and authority that can happen when a brand publishes generic or AI-assisted content without enough human review, provenance, and source proof.
The episode connects Google's AI search guidance, query fan-out, retrieval and grounding, the NIST AI Risk Management Framework, MAHI Index™, and MAD-M™ into one practical governance question: is the brand publishing unique, verifiable signal or contributing to algorithmic noise?
Topics covered
Sources and framework notes
Transcript
Edited for spelling, names, and framework terminology.