The AI Trust Stack: From Visibility to Revenue

The AI Trust Stack: From Visibility to Revenue

The AI Trust Stack: From Visibility to Revenue

BackTier | AI Visibility

In this episode, Jason T Wade is joined by Devon Vocke, Awais Haq, Tom Gersic, and Babak Akhlaghi to explore what happens after a company begins pursuing visibility, trust, and operational effectiveness in the AI era.

Devon explains how traditional search is expanding into LLM discovery, AI search, and AI Overviews. Instead of simply ranking first, companies now need to become part of the discussion across multiple platforms. His framework—clarity, consistency, credibility, and coverage—offers a foundation for earning that visibility.

Awais brings the attribution and law-firm operations perspective. He argues that leads have little value unless a firm can connect each marketing channel to qualified prospects, consultations, signed cases, client lifetime value, and revenue.

Tom examines the workflow and CRM layer, explaining how AI agents can help companies capture, research, score, qualify, route, and nurture inbound leads. He also discusses web agents, AI-backed CRMs, Salesforce integration, and the importance of fitting automation into the systems teams already use.

Babak provides the protection layer: intellectual property, patents, and defensible business assets. His perspective highlights the importance of protecting innovation as AI accelerates discovery, automation, and competition.

The panel also tackles several practical questions:

  • Are companies genuinely visible in AI systems?

  • Can they prove that visibility creates pipeline and revenue?

  • Does AI improve existing workflows or merely introduce another tool?

  • How should regulated industries evaluate models, privacy, and security?

  • Where must human judgment remain in the loop?

  • How should companies protect the innovations and assets they create?

The central takeaway: visibility alone is not enough. It must become measurable, trusted, governed, protected, and connected to revenue.

Jason T Wade leads a panel with Devon Vocke, Awais Haq, Tom Gersic, and Babak Akhlaghi on the AI Trust Stack: discovery, attribution, workflow automation, governance, security, and intellectual-property protection. They examine how companies appear in AI search, how visibility becomes pipeline, and why AI adoption matters only when it improves real business outcomes.

Devon Vocke is Co-Founder of Evoke Strategy, a Florida-based digital marketing, public relations, and AI visibility strategy firm. His work focuses on GEO, AEO, brand visibility, and how companies appear across AI-mediated search and discovery systems. In this episode, he explains why visibility now depends on clarity, consistency, credibility, and coverage.

Awais Haq is Founder and CEO of Time Technologies LLC. His work focuses on law-firm intake, CRM, attribution, and operational integration for legal marketing and business development. He helps firms connect acquisition channels with qualified leads, consultations, signed clients, lifetime value, and revenue.

Tom Gersic is Founder and CEO of YouEx.ai, an AI-backed lead-to-revenue platform. He helps companies turn inbound leads into researched, scored, qualified, and routed opportunities through AI agents and CRM workflows. In this episode, he discusses web agents, lead research, Salesforce integration, and behind-the-scenes revenue automation.

Babak Akhlaghi is Founder and Managing Director of NovoTech Patent Firm. He is a USPTO-registered patent attorney, engineer, and entrepreneurship-law instructor at the University of Maryland. His work focuses on protecting inventions, intellectual property, and defensible business assets.

BackTier

Devon Vocke

Awais Haq

Tom Gersic

Babak Akhlaghi

Short Show DescriptionGuest BiosLinks

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