Building Corroboration Loops to Power Your Visibility Engineering

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.

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.

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.

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.

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.

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

The internet isn’t dead—it’s haunted. This week, Gini Dietrich explores the “dead internet” theory and why bots now outnumber humans online, which changes how we plan, measure, and defend our brands.  You’ll learn how to replace vanity metrics with human signals, ship proof-of-work content (original data, named experts, receipts), add provenance to your media, and rewire your PESO Model for verified attention. Highlights: Why dashboards glow while revenue stalls—and how to fix it Owned as your fortress: proof stack, schema, provenance Earned relationships that reduce uncertainty (and get the call) Shared in smaller rooms that create real conversation Paid that buys attention you can verify, not impressions you can’t If you want to keep building trust and visibility in a ghosted web, this episode is your new playbook.

Synthetic sparks, real fires.  Gini Dietrich unpacks how bot-created boycotts inflate “consensus,” jump to real influencers, and turn into costly crises.  This episode gives you a practical, hour-one playbook: capture an authenticity snapshot, choose your lane, debunk without oxygen via a single owned explainer, and use paid/shared/earned intentionally.  She also covers the fast tells of inauthentic activity and the governance artifacts you should have queued up before anything explodes. Takeaways • Diagnose manufactured outrage in minutes—no fancy tools required • The exact comms moves to make in the first 2–24 hours • What bots can’t fake (specificity, two-way friction, cross-channel corroboration) • How to prep: thresholds, roles, templates, stakeholder briefs If you found this useful, follow the show and share it with your marketing, comms, and brand teams.

In today’s episode, we put you in the boardroom and show exactly why the current stack can’t answer the ROI question—then we install an operating system. What you’ll learn: • The ~$500B blind spot: marketing without an OS • How a PESO Model© OS creates clarity, efficiency, and revenue attribution • The cost of waiting (and what early adopters are seeing) • A Boardroom Checklist you can use this quarter

Generative AI is sliding into the “Trough of Disappointment.” The Atlantic is warning of an AI bubble. And if you’re a CMO chasing disconnected AI pilots without a plan, you could be next. In this episode, Gini Dietrich explains why PESO isn’t just a model—it’s the operating system that prevents AI from becoming another overhyped, underperforming fad. You’ll learn: Why CMOs keep getting burned by technology hype cycles The rookie mistakes killing enterprise AI strategies How PESO ties AI to real business outcomes The trust signals that matter to both humans and machine customers Before the bubble pops, make sure your AI strategy is built to last.