AI Marketing & Governance with Kristina Shrider

Market Disruptors Agency
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AI Marketing Governance with Kristina Shrider is a Market Disruptors Agency podcast about building marketing systems that AI search, answer engines, AI agents, and human buyers can understand, verify, cite, and compare. In an era of AI-mediated discovery, traditional SEO is no longer enough. Brands now need clearer entity signals, stronger source proof, better governance, and content that can be retrieved and trusted across ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Bing Copilot, and other AI search systems. The series is guided by Kristina Shrider, founder of Market Disruptors AI Visibility Agency, growth strategist, Behavioral CMO, independent AI marketing researcher, and creator of the Marketing Agent Health Index, or MAHI Index™, and the Marketing Agent Decay Model, or MAD-M™. CitationIQ™ is one of the component metrics used inside the MAHI Index™ framework. Kristina brings more than 17 years of active involvement in the national marketing community and a research-backed perspective on AI visibility, AI SEO, AEO, GEO, answer engine optimization, generative engine optimization, Share of Model, citation readiness, entity SEO, schema markup, Google Business Profile optimization, provenance, human review, and marketing governance. This show pulls back the curtain on the systems behind AI visibility: how brands are understood, why citations happen or disappear, how visibility drift develops, what weak signals look like, and how stronger marketing infrastructure can help brands become easier for AI systems to retrieve, verify, cite, surface, or mention. The show does not teach AI search hacks. It teaches how to diagnose current marketing system health, manage long-term visibility risk, and protect brand authority through clearer, more trustworthy, better-governed marketing systems. Produced by Market Disruptors Agency.

Episodes

  1. How to Beat Marketing Agent Decay: AI Visibility, Governance, and Citation Risk

    May 25

    How to Beat Marketing Agent Decay: AI Visibility, Governance, and Citation Risk

    How can brands use AI without losing visibility, authority, and trust? In this episode of AI Marketing and Governance with Kristina Shrider, we explain how to beat marketing agent decay by combining Google’s AI search guidance, the NIST AI Risk Management Framework, and Kristina Shrider’s MAHI Index™ and MAD-M™ frameworks. The episode explains why AI search systems are not just reading keywords anymore. They use retrieval-augmented generation, query fan-out, passage ranking, semantic understanding, and source evaluation to decide what gets surfaced, summarized, cited, or ignored. This episode also explains why AI content autopilot is risky. Generic AI-generated content may create a short-term freshness lift, but without human review, provenance, source clarity, and governance, it can lead to strategic dilution, narrative entropy, attribution compression, citation risk, and long-term visibility decay. This episode does not claim AI content is always bad. It explains how unmanaged AI-assisted content can become repetitive, average, weakly differentiated, and easier for AI systems to ignore. The goal is not to avoid AI. The goal is to use AI with governance, human expertise, and clear evidence. Core topics include: - Marketing agent decay - MAHI Index™ risk diagnosis - MAD-M™ governance planning - AI visibility drift - Narrative entropy - Strategic dilution - Attribution compression - Query fan-out - Retrieval-augmented generation - Passage ranking - Commodity vs non-commodity content - Human review and provenance - AI citation loops - NIST AI RMF: Govern, Map, Measure, Manage - TEVV: test, evaluation, verification, and validation - Entity clarity and source trust The key lesson: AI can help brands move faster, but only if the system has brakes. Governance, provenance, human review, and non-commodity expertise are what keep AI-assisted marketing from becoming generic background noise. Kristina Shrider is founder of Market Disruptors AI Visibility Agency and creator of the Marketing Agent Health Index, or MAHI Index™, CitationIQ™, and the Marketing Agent Decay Model, or MAD-M™. Full transcript, sources, and framework notes: https://marketdisruptorsagency.com/ai-marketing-governance-podcast Run a free AI visibility quick scan: https://marketdisruptorsagency.com/free-ai-scan AI Marketing Governance with Kristina Shrider is produced by Market Disruptors Agency.  Podcast profile: https://aimarketinggovernance.buzzsprout.com

    21 min
  2. Why AI Silently Kills Your Traffic: Search Decay, AI Citations, and Content Risk

    May 25

    Why AI Silently Kills Your Traffic: Search Decay, AI Citations, and Content Risk

    Why can a brand publish more content and still lose traffic, visibility, and AI citations? In this episode of AI Marketing and Governance with Kristina Shrider, we explain how AI-mediated search systems can quietly reduce visibility when content becomes generic, repetitive, weakly sourced, or hard to verify. This episode connects Google AI search guidance, retrieval-augmented generation, query fan-out, the NIST AI Risk Management Framework, and Kristina Shrider’s MAHI Index™ and MAD-M™ frameworks to explain why unmanaged AI-assisted content can lose visibility without a clear penalty, warning, or dashboard alert. This episode does not claim AI always kills traffic. It explains how unmanaged AI-assisted content can create visibility decay, attribution loss, authority flattening, citation risk, and AI recommendation risk when human review, provenance, entity clarity, and governance are missing. Core topics include: - AI visibility drift - Marketing agent decay - MAHI Index™ risk signals - MAD-M™ governance planning - Query fan-out and retrieval-augmented generation - AI Overviews and AI search - Commodity vs non-commodity content - Scaled content abuse - Human review and provenance - Entity SEO and source clarity - AI-to-AI citation loops - NIST AI RMF: Govern, Map, Measure, Manage The key lesson: AI search does not need more generic content. It needs clear, verifiable, human-reviewed information with original evidence, source clarity, entity confidence, and a real reason to be cited. Kristina Shrider is founder of Market Disruptors AI Visibility Agency and creator of the Marketing Agent Health Index, or MAHI Index™, CitationIQ™, and the Marketing Agent Decay Model, or MAD-M™. Full transcript, sources, and framework notes: https://marketdisruptorsagency.com/ai-marketing-governance-podcast Run a free AI visibility quick scan: https://marketdisruptorsagency.com/free-ai-scan AI Marketing Governance with Kristina Shrider is produced by Market Disruptors Agency.  Podcast profile: https://aimarketinggovernance.buzzsprout.com

    23 min
  3. AI Marketing Drift: Why Brands Disappear from AI Answers

    May 24

    AI Marketing Drift: Why Brands Disappear from AI Answers

    Why does a brand disappear from AI answers without a warning, penalty notice, or obvious traffic crash? In this episode of AI Marketing Governance with Kristina Shrider, we look at AI marketing drift: the slow loss of visibility, attribution, and authority that can happen when brands publish generic, weakly governed, or AI-assisted content without enough human review, provenance, and source proof. The episode explains how AI-mediated discovery is changing search behavior through retrieval, grounding, query fan-out, AI Overviews, AI Mode, ChatGPT Search, Perplexity, Gemini, Bing Copilot, and other answer engines. It also explores why commodity content is easier for AI systems to ignore, summarize without attribution, or treat as background noise. Kristina Shrider’s MAHI Index™ and MAD-M™ frameworks are used as the governance lens for this discussion. MAHI Index™ helps diagnose the current structural health of a marketing system. MAD-M™, the Marketing Agent Decay Model, explains how weak signals may decay over time if they are not reviewed, refreshed, measured, and governed. Topics covered in this episode include: AI marketing driftAI visibility lossAI citation readinessQuery fan-outRetrieval and groundingAI SEOAEOGEOAnswer engine optimizationGenerative engine optimizationEntity SEOProvenanceHuman reviewMarketing friction auditsShare of ModelCitationIQ™MAHI Index™MAD-M™NIST AI Risk Management FrameworkGoogle AI Overviews and AI ModeContent decay and authority flattening This episode does not teach AI search hacks. It explains why brands need clearer entity signals, stronger evidence, better human review, and governance systems that make their content easier for AI systems and human buyers to understand, verify, cite, and compare. Full transcript, sources, and framework notes: https://marketdisruptorsagency.com/ai-marketing-governance-podcast Run a free AI visibility quick scan: https://marketdisruptorsagency.com/free-ai-scan AI Marketing Governance with Kristina Shrider is produced by Market Disruptors Agency.  Podcast profile: https://aimarketinggovernance.buzzsprout.com

    23 min
  • 3 Episodes

About

AI Marketing Governance with Kristina Shrider is a Market Disruptors Agency podcast about building marketing systems that AI search, answer engines, AI agents, and human buyers can understand, verify, cite, and compare. In an era of AI-mediated discovery, traditional SEO is no longer enough. Brands now need clearer entity signals, stronger source proof, better governance, and content that can be retrieved and trusted across ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode, Bing Copilot, and other AI search systems. The series is guided by Kristina Shrider, founder of Market Disruptors AI Visibility Agency, growth strategist, Behavioral CMO, independent AI marketing researcher, and creator of the Marketing Agent Health Index, or MAHI Index™, and the Marketing Agent Decay Model, or MAD-M™. CitationIQ™ is one of the component metrics used inside the MAHI Index™ framework. Kristina brings more than 17 years of active involvement in the national marketing community and a research-backed perspective on AI visibility, AI SEO, AEO, GEO, answer engine optimization, generative engine optimization, Share of Model, citation readiness, entity SEO, schema markup, Google Business Profile optimization, provenance, human review, and marketing governance. This show pulls back the curtain on the systems behind AI visibility: how brands are understood, why citations happen or disappear, how visibility drift develops, what weak signals look like, and how stronger marketing infrastructure can help brands become easier for AI systems to retrieve, verify, cite, surface, or mention. The show does not teach AI search hacks. It teaches how to diagnose current marketing system health, manage long-term visibility risk, and protect brand authority through clearer, more trustworthy, better-governed marketing systems. Produced by Market Disruptors Agency.

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