エピソード

  • The Visibility Engineering Metrics That Predict Demand
    2025/12/16
    Most visibility programs fail because teams don’t know what to measure—or they measure too much, too late. In this final episode of the Visibility Engineering series, Gini Dietrich breaks down three simple metrics that tell you whether your work is driving real pre-pipeline demand. No dashboards. No spreadsheets. Just signal.
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    13 分
  • How to Use Proof-First Social to Engineer Visibility
    2025/12/09
    You’ve built your anchor hubs, clarified your experts, and added external proof. Now Gini Dietrich shows you how to put your credibility into circulation—not by posting more, but by boosting only what your audience proves they value. This is the week visibility engineering shifts from theory to traction. Tune in and learn how to let your audience show you exactly what to amplify.
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    15 分
  • Building Corroboration Loops to Power Your Visibility Engineering
    2025/12/02
    Saying “we’re the leading provider” isn’t a strategy. Corroboration is. In this episode, Gini Dietrich explores how to build corroboration loops—the external proof points that show up in trade outlets, creator newsletters, podcasts, and partner channels, and all lead back to your best content. If you’re a senior marketer or communicator trying to move beyond vanity metrics and random thought leadership, this episode will help you turn content into a credibility engine.
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    19 分
  • AI Looks for Author Footprints First
    2025/11/25
    Does your website read like a committee of ghosts wrote it? Logos, vague promises, stock photos—and no real humans your audience can actually trust? In this episode of the Spin Sucks Podcast, Gini Dietrich introduces author footprints: a simple way to turn your internal subject-matter experts into visible, credible sources for both humans and AI.
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    16 分
  • The Fastest Path to Engineering Your Brand’s Visibility
    2025/11/18
    Most buying happens before a call—so if you’re not answering buyer questions up front, the algorithms (and the humans) move on. Gini Dietrich provides a no-fluff visibility engineering sprint to help you prepare for a January launch.
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    16 分
  • How to Make Your Brand the Obvious Answer with Visibility Engineering
    2025/11/11
    Most of the decision happens before sales. In this episode, Gini Dietrich breaks down Visibility Engineering and how to use the PESO Model© to build anchor hubs that become the safest thing to cite, earn analyst/AI reuse, and measure results. You’ll leave with a copy-and-paste Anchor Hub outline and a 30-day action plan.
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    19 分
  • How to Measure Brand Awareness, Trust, and Reputation
    2025/11/04
    In a collapsed-funnel world, “action-oriented” isn’t a button—it’s a byproduct of trust. Today, Gini Dietrich digs into how reputation becomes rank (and revenue), the metrics that prove it, and a simple PESO Model© sequence to lower your cost to convert. Share this episode with a friend, exec, or client who’s stuck debating brand vs. performance.
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    21 分
  • Handling the “AI Discount” Question from Clients
    2025/10/28
    AI collapsed drafting time—but clients still buy certainty: accuracy, brand safety, and results. In this episode, Gini Dietrich lays out a practical playbook to stop itemizing hours and start contracting standards, so you keep fees (and win bigger scopes) in the AI era. In this episode, you’ll learn: How to explain “AI speed” without triggering a discount The 10 clauses to codify standards (provenance, data, IP, QA) Fixed/outcome pricing models that hold (and grow) fees Scripts for procurement, legal, and the “show me your prompts” crowd
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    18 分