From AI Visibility to Revenue: Agents, Warm Leads & Better Customer Context episode artwork

EPISODE · Aug 4, 2026 · 29 MIN

From AI Visibility to Revenue: Agents, Warm Leads & Better Customer Context

from AI Visibility by Jason Todd Wade, Founder of BackTier · host Jason Todd Wade

Most companies do not have a lead-generation problem. They have a follow-up, context, and conversion problem.In this episode of the AI Visibility Podcast, Jason Todd Wade is joined by Tom Gersic, founder of YouEx.ai, and Jonathan W. Pritchard, fractional CMO, performer, and AI workflow strategist.Tom explains how AI agents can connect website activity, calendar booking, CRM data, lead research, email follow-up, and personalized outreach into one lead-to-revenue system. He also discusses why warm leads lose value quickly, why five-minute follow-up matters, and how a web agent should function as a concierge rather than another ignored chatbot.Jonathan breaks down his local AI workflow using Claude Code and Obsidian, where notes, client context, frameworks, and institutional knowledge live together as Markdown files. Instead of repeatedly copying information into different AI tools, the AI works inside his existing system.The conversation also explores how AI can prepare prospect research and sales presentations, update CRM records overnight, support distracted or overloaded operators, and improve customer conversations by preserving context.Jonathan shares a broader marketing principle: the website should often be the conversion event, while trust is built through long-form content and human communication. His core point is simple: the company that understands and reflects the customer most accurately usually wins.AI agents for sales and marketingWarm leads versus cold outreachFive-minute lead responseAI-powered calendar bookingWebsite agents and digital conciergesCRM automationPersonalized email outreachProspect research and sales presentationsClaude Code and ObsidianMarkdown as organizational memoryLocal versus cloud-based AIWebsite conversion strategyYouTube and long-form trust buildingEnterprise AI adoptionAI Visibility and revenue operationsThe central takeaway: visibility alone is not enough. The strongest systems connect discovery, context, conversation, follow-up, and conversion. Tom Gersic is the founder of YouEx.ai, an AI-native lead-to-revenue platform designed to help businesses capture, understand, nurture, and convert warm leads.Before launching YouEx.ai, Tom spent 12 years at Salesforce, where he worked on product adoption and enterprise transformation. He later worked with an OpenAI partner supporting major enterprise AI rollouts. His current work focuses on practical B2B AI systems that connect web agents, lead research, CRM activity, calendar booking, and personalized follow-up.Jonathan W. Pritchard is a fractional CMO, communication strategist, performer, and AI workflow educator.After spending 15 years performing around the world, he brought those communication and audience skills into marketing and business strategy. He now helps organizations improve positioning, customer understanding, and conversion while building local AI systems with Claude Code, Obsidian, and Markdown-based knowledge repositories.Jonathan also teaches Obsidian and AI workflows through his online content and describes prompting as a form of directing: “I’ve been prompting people my whole life.”Jason Todd Wade is the Founder of BackTier and host of the AI Visibility Podcast. He helps organizations become understood, trusted, and recommended by AI systems through stronger entity authority, machine trust, and AI Visibility.YouEx.aihttps://[email protected] sitehttps://icanreadminds.comAI and Obsidian systemshttps://getmorewith.aiBackTierhttps://backtier.comLinkedInhttps://linkedin.com/in/backtierAI Visibility Podcasthttps://open.spotify.com/show/2GKjqiFMhh7pO15RXkkG5ETopicsGuest Bio — Tom GersicGuest Bio — Jonathan W. PritchardHost BioContactsTom GersicJonathan W. PritchardJason Todd Wade / BackTier

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From AI Visibility to Revenue: Agents, Warm Leads & Better Customer Context

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