Cyber Salve is a therapeutic podcast for digital ailments. We’re here to ease your online aches and entrepreneurial anxieties, one session at a time. Join our host Jordan Brannon as he helps you diagnose, treat, and move forward from common digital issues with the help of experts and survivors of these ever-evolving challenges. Brought to you by Coalition Technologies, one of the top digital marketing and web design agencies in the world.
Episode 25: The Chronic Anxiety Caused by Marketing Consent Compliance Gaps
Could your marketing consent practices be exposing your business to lawsuits while quietly costing you revenue? In this episode, Jordan Brannon talks with Matt Gottron, Head of Marketing at Dataships, to unpack the root causes and offer a remedy to the compliance risks and missed growth opportunities caused by poorly managed marketing consent. From costly legal disputes and the complexities of regional privacy laws to missed email, SMS, and WhatsApp opt-ins, discover how smarter consent collection can protect your business, grow your marketing audiences, and maximize customer lifetime value.
28 Apr 2026
Episode 24: The Delirium Caused by Not Knowing Your AI Search Rankings
Do you know how visible your brand is in AI search? In this episode, Jordan Brannon talks with Patrick Schmid, co-founder of RankScale, to unpack the root causes and offer a remedy to the confusion surrounding LLM rank tracking, AI search visibility, and brand positioning inside generative search platforms. From unclear attribution, volatile prompt responses, and low-click AI Overview queries to query fan-out, audience search behavior, and the tools brands can use to monitor their visibility more accurately.
24 Mar 2026
Episode 23: The Debilitating Hangover Caused by AI Hype Cycles
Does every AI update make you feel like you’re already falling behind? In this episode, Jordan Brannon unpacks the root causes and offers a remedy to AI hype fatigue and the hangover it creates. From the constant flood of releases, investment-driven hype cycles, and misinformation that distort real business impact to a practical framework for filtering noise, evaluating AI more realistically, and using it in ways that actually drive outcomes.
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