Podcast
AI Visibility: How to Get Your Brand Recommended by ChatGPT, Perplexity, and Google AI
Hosted by Jason Todd Wade · EN
AI Visibility Podcast by Jason Todd Wade of BackTier breaks down how businesses are discovered, interpreted, and recommended across systems like ChatGPT, Google, Gemini, and Perplexity AI. Each episode focuses on real execution-how visibility is assigned, how authority is built, and how operators influence outcomes in AI-driven environments.
101episodes
Episodes
Newest firstAll episodes
Entity Engineering for AI Visibility - Jason Todd Wade of BackTier.com / BackTier
2d ago00:02:03Tap to summarizeEntity Engineering for AI Visibility - Jason Todd Wade of BackTier.com / BackTier
Transcribe →How AI Is Changing Legal Work, Client Confidence & Law-Firm Marketing
3d ago00:21:59Tap to summarizeIn Part 1, Jason Todd Wade speaks with New York matrimonial attorney Mia Poppe about how AI is changing legal practice from the inside out.Mia explains how she uses AI for idea generation, document comparison, gap analysis, research support, and law-firm marketing—while keeping legal judgment, risk assessment, and strategy firmly in human hands.The conversation covers:Why lawyers have been slow to adopt AIWhere AI is useful—and where it is dangerousUsing AI to compare long settlement agreementsWhy legal expertise still mattersHow AI can improve law-firm efficiencyClient confidence as the real product lawyers sellWhy AI search is changing how clients find attorneysThe shift from traditional SEO to AI VisibilityHow authority, consistency, and lived experience influence AI recommendationsThe central lesson: AI may not replace experienced lawyers, but lawyers who use it intelligently will work faster, communicate better, and become easier for the right clients to find. Jason Wade, Founder BackTier.docxDOCXMia Poppe, Esq. is a New York matrimonial and family-law attorney and the founder of Poppe & Associates. She represents clients in divorce, custody, support, and complex family-law matters. Drawing on both professional and personal experience, Mia brings a direct, strategic, and highly client-focused approach to legal advocacy.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.Mia Poppehttps://miapoppe.comBackTierhttps://backtier.comAI Visibility Podcasthttps://open.spotify.com/show/2GKjqiFMhh7pO15RXkkG5E
Transcribe →How to learn AI VERY VERY fast by Jason Todd Wade of BackTier
3d ago00:03:19Tap to summarizeHow to learn AI VERY VERY fast by Jason Todd Wade of BackTier
Transcribe →Who’s Accountable When AI Goes Wrong? Governance, Agents & Cyber Risk with Kate Marshall
4d ago00:10:50Tap to summarizeAI adoption is moving faster than most organizations can govern it.In this episode of the AI Visibility Podcast, Jason Todd Wade speaks with Kate Marshall, Founder of TheGrai, Fractional Chief AI Officer, SHRM AI Instructor, and author of AI at Work.They discuss the growing accountability gap around AI agents, what the Workday litigation could mean for employers, and why non-technical leaders are increasingly being asked to manage systems they did not build and may not fully understand.Kate explains why successful AI adoption requires more than buying tools. Organizations need clear policies, controlled testing, trained employees, approved-tool lists, incident-response plans, and defined human ownership.The conversation also explores:Why many AI pilots remain stuck in experimentationWhere organizations can begin with lower-risk use casesHuman accountability for autonomous systemsChange management and employee fearData quality and organizational readinessCyber-insurance requirements for AI adoptionKill switches, authorization controls, and incident responsePrivacy risks from wearables and always-on recording devicesBalancing innovation against security and complianceThe central question is no longer whether companies will use AI. It is whether they can use it quickly without losing control of risk, accountability, and trust. Jason Wade, Founder BackTier.docxDOCXKate Marshall is the Founder of TheGrai, a Fractional Chief AI Officer, AI adoption strategist, SHRM AI Instructor, and author of AI at Work. After nearly two decades at the SANS Institute, she now helps executives, HR leaders, and teams implement AI through practical training, governance, workforce readiness, and responsible adoption.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.Kate Marshallkatemarshall.aiTheGraithegr.aiBackTierbacktier.comAI Visibility PodcastSpotify
Transcribe →Florida Slice Project Update by Jason Todd Wade - BackTier
4d ago00:01:35Tap to summarizeFlorida Slice Project Update by Jason Todd Wade - BackTier
Transcribe →FAQ's and AI Visibility - Jason Todd Wade, BackTier AI SEO / GEO / Vibe
5d ago00:02:15Tap to summarizeFAQ's and AI Visibility - Jason Todd Wade, BackTier AI SEO / GEO / Vibe
Transcribe →Why Most AI Projects Fail Before They Begin With Brian Beck, Proxurve Solutions
6d ago00:17:45Tap to summarizeMost organizations know they need AI—but few can clearly explain what problem they’re trying to solve.In this episode of the BackTier AI Visibility Podcast, Jason Todd Wade sits down with Brian Beck, a senior AI and cybersecurity consultant at Proxurve Solutions, to discuss why successful AI adoption starts long before choosing a model.Brian shares why he calls himself the “concrete guy,” helping organizations build the secure foundation, governance, and roadmap needed before deploying AI. The conversation covers AI readiness, cybersecurity, Microsoft Copilot, Claude, enterprise adoption, organizational change, and why leadership—not IT—is responsible for AI success.Topics include:Why most organizations struggle to define AI strategyBuilding an AI roadmap before implementationCybersecurity as the foundation for AIMicrosoft Copilot, Claude, Gemini, and enterprise AIAI governance and acceptable-use policiesAI readiness versus AI hypeMeasuring ROI from AI investmentsWhy AI is a leadership challenge, not just an IT challengeThe future of enterprise AI adoption“Get out of the me and into the we.”Jason Todd Wade is the Founder of BackTier and creator of the AI Visibility Framework™, helping organizations become understood, trusted, and recommended by AI systems through stronger entity authority, machine trust, and AI Visibility.Brian Beck is a senior AI and cybersecurity consultant at Proxurve Solutions, where he helps organizations prepare for AI through stronger infrastructure, governance, cybersecurity, and strategic planning. His work focuses on helping business leaders build secure, scalable AI initiatives that deliver measurable business outcomes.BackTierhttps://backtier.comJason Todd Wadehttps://jasonwade.comhttps://www.linkedin.com/in/jasontoddwadeBrian Beckhttps://www.linkedin.com/in/brianbeck73Proxurve Solutionshttps://proxurve.comSubscribe to the BackTier AI Visibility Podcast for conversations with AI founders, executives, researchers, and business leaders exploring AI Visibility, enterprise AI, cybersecurity, and the future of AI-powered business.
Transcribe →The AI Narrative Just Changed: Why Wall Street Is Suddenly Nervous About AI
6d ago00:06:23Tap to summarizeFor the past two years, the AI conversation has been dominated by bigger models, record funding rounds, and breakthrough announcements. This week, the headlines changed.Instead of celebrating the next AI model, financial markets are asking harder questions about infrastructure, capital spending, profitability, and whether the massive investments fueling the AI boom can generate sustainable returns.In this episode, Jason Wade breaks down what’s actually happening behind the headlines—from Nvidia and chipmakers to data centers, global AI competition, and why Wall Street’s concerns represent a new phase of AI rather than the end of it.Most importantly, Jason explains why businesses are focusing on the wrong opportunity. While investors debate AI infrastructure, a much larger commercial shift is emerging: AI systems are becoming the gatekeepers of discovery, recommendations, and purchasing decisions.The next competitive advantage won’t simply be using AI.It will be whether AI chooses you.Why AI headlines suddenly became financial headlinesNvidia’s outsized influence on the AI economyWhat “circular financing” means—and why investors careWhy AI is becoming infrastructure instead of just softwareThe rise of Asia as an AI superpowerHow AI regulation is entering its operational phaseWhy AI Visibility may become one of the most important business categories of the decadeThe shift from optimizing for search engines to optimizing for AI recommendationsJason Todd Wade is the founder of BackTier and NinjaAI and the creator of the AI Visibility framework. He helps organizations understand how large language models evaluate, interpret, and recommend businesses, professionals, brands, and organizations inside AI-generated answers.With more than two decades of experience building digital businesses, Jason focuses on the emerging discipline of AI Visibility—helping organizations improve how they are discovered, trusted, cited, and recommended by AI systems such as ChatGPT, Claude, Gemini, Perplexity, and other large language models.He hosts the AI Visibility Podcast, where he explores the intersection of artificial intelligence, search, knowledge graphs, entity understanding, and the future of machine-mediated discovery.Website: https://backtier.comAI Visibility: https://backtier.comNinjaAI: https://ninjaai.comJason Todd Wade: https://jasonwade.comLinkedIn: https://linkedin.com/in/jasontwadeSubscribe:SpotifyApple PodcastsYouTubeFollow BackTier for research, frameworks, and practical strategies on AI Visibility, AI SEO, entity optimization, and machine-mediated discovery.
Transcribe →Questions and Keywords - AI Visibility by Jason Todd Wade of BackTier.com
1w ago00:02:10Tap to summarizeQuestions and Keywords - AI Visibility by Jason Todd Wade of BackTier.com
Transcribe →AI Visibility Podcast - Episode Title Small Models, Big Impact: WTitle: Small Models, Big Impact: Why AI Visibility Isn’t Just About GPT
1w ago00:06:17Tap to summarizeAI Visibility PodcastEpisode TitleSmall Models, Big Impact: Why AI Visibility Isn’t Just About GPTFor the past few years, the AI conversation has been obsessed with one thing: bigger models.GPT-4. Claude. Gemini. Massive parameter counts. Bigger context windows. Bigger benchmarks.The assumption has almost always been that bigger equals better.But quietly, another trend has been accelerating beneath the surface.Small models.Today we’re going to talk about why small language models—or SLMs—may become one of the biggest forces shaping AI visibility over the next decade.And more importantly, why almost nobody in SEO, GEO, or AI visibility is talking about what this means.A small language model is exactly what it sounds like.Instead of hundreds of billions—or even trillions—of parameters, these models might contain one billion, three billion, or seven billion parameters.Examples include Microsoft’s Phi family, Meta’s Llama 3.2 1B models, Mistral’s smaller releases, Gemma from Google, and many others.They aren’t trying to compete with GPT-5 at writing novels or solving graduate-level math.They’re designed to be incredibly fast.Cheap.Efficient.And capable of running directly on laptops, smartphones, factory equipment, medical devices, and private enterprise servers.That’s an enormous shift.For years the assumption was simple.Every AI task would be sent to a giant model running in the cloud.Increasingly, that’s not what companies are building.Instead, they’re creating AI systems made up of multiple specialized models.Think of it like a business organization.Not every employee is the CEO.Receptionists answer phones.Accountants handle finances.Lawyers review contracts.Executives make strategic decisions.AI is moving in exactly the same direction.A small model might classify a request.Another determines user intent.A third searches company documentation.Only then does a frontier model generate the final answer.The large model becomes the specialist—not the entire company.This matters because AI visibility doesn’t happen only when ChatGPT writes an answer.It begins much earlier.Imagine you ask an enterprise AI assistant:“I need an employment attorney in Orlando.”Before a large model ever starts writing, several things probably happen.A small model identifies that this is a legal question.Another determines that it’s employment law.Another extracts the geographic location.Another retrieves candidate firms.Only then does the reasoning model compare options and produce recommendations.Your organization has to survive every one of those interpretation steps.If a small model misunderstands your business, the larger model may never even know you exist.This is why I’ve increasingly described AI visibility as an interpretation problem rather than simply a generation problem.Generation gets the attention.Interpretation determines who gets invited into the answer.Every AI system first has to decide what you are before it can recommend you.That’s true whether we’re talking about ChatGPT, Claude, Gemini, Perplexity, enterprise copilots, customer support agents, or autonomous business workflows.Recognition comes before recommendation.Small models may actually make structured information even more valuable.Large frontier models possess enormous amounts of world knowledge.Smaller models don’t.They’re more likely to depend on explicit relationships.Structured metadata.Entity names.Clear descriptions.Schema.Knowledge graphs.Consistent terminology.That means ambiguity becomes even more expensive.If your organization describes itself five different ways across the web, smaller models may struggle to confidently classify what you actually do.Consistency becomes a competitive advantage.This also changes how businesses should think about AI optimization.
Transcribe →