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.
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AI Visibility Podcast - Episode Title Small Models, Big Impact: WTitle: Small Models, Big Impact: Why AI Visibility Isn’t Just About GPT
6d 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 →7/26 AI News by Jason Todd Wade of BackTier and LRSvc
1w ago00:06:51Tap to summarize7/26 AI News by Jason Todd Wade of BackTier and LRSvc
Transcribe →AI Visibility in Under Five Minutes: Why AI Has to Understand You Before It Can Recommend You
1w ago00:03:39Tap to summarizeBackTier.com / JasonWade.com TitleAI Visibility in Under Five Minutes: Why AI Has to Understand You Before It Can Recommend YouWhat is AI Visibility?In this solo episode, Jason Todd Wade explains one of the most misunderstood concepts in AI: before ChatGPT, Gemini, Claude, or Google AI Overviews can recommend your business, they first have to understand it.Jason explores why AI Visibility isn't about gaming algorithms or publishing more content—it's about creating a clear, consistent, and trustworthy digital identity that AI systems can confidently interpret.He also introduces the concept of Entity Lock, why founder stories matter more than marketing slogans, and how organizations can move beyond legacy branding to become the obvious answer when AI is making recommendations.Topics include:What AI Visibility actually meansWhy AI must understand your business before it can recommend itThe difference between branding and entity understandingEntity Lock and building a consistent digital identityWhy founder stories shape organizational trustThe future of search in an AI-first worldHow businesses can prepare for AI-driven discoveryJason Todd Wade is the Founder of BackTier and the creator of the AI Visibility framework. He helps organizations become understood, trusted, and recommended by artificial intelligence through stronger entity authority, machine trust, and structured digital narratives. His work explores how AI systems interpret businesses and why visibility in the AI era requires far more than traditional SEO.BackTierhttps://backtier.comJason Todd Wadehttps://jasonwade.comhttps://www.linkedin.com/in/backtierFollow the AI Visibility PodcastSpotifyApple PodcastsYouTubeIf you enjoyed this episode, subscribe to the AI Visibility Podcast for conversations exploring AI Visibility, machine trust, entity authority, and how organizations can become the businesses AI chooses to recommend.
Transcribe →AI News - July 24, 2026
1w ago00:01:50Tap to summarizeBackTier.com / JasonWade.com
Transcribe →July 24, 2026 - Podcast Invite - jason@backtier.com - BackTier
1w ago00:00:17Tap to summarizebacktier.comjason@backtier.com321.946.5569
Transcribe →Beyond AI Adoption: How Businesses Earn AI Trust - Featuring Anne Cantera & Nathan Graham
1w ago00:25:11Tap to summarizeMost organizations are asking how to adopt AI. Few are asking a more important question:How does AI decide whether to trust your business?In this episode, Jason Todd Wade is joined by Anne Cantera, founder of Elementyl Intelligence, and Nathan Graham, founder of Synthetic Echo, for a wide-ranging discussion on the next phase of AI.The conversation covers practical AI implementation, agentic systems, voice AI, automation, AI development workflows, human-centered design, and why trust—not just adoption—may become the defining competitive advantage of the AI era.Topics include:Human-centered AI implementationAgentic AI and enterprise developmentPractical AI workflows for growing businessesVoice AI and conversational designAI governance and responsible deploymentBuilding AI products with modern coding toolsWhy AI trust may become the next competitive advantageAI Visibility and how organizations become understood, trusted, and recommended by AI systemsWhether you're building AI products, leading digital transformation, or preparing your organization for an AI-first future, this conversation explores where the industry is headed—and what comes next.Jason Todd Wade is the Founder of BackTier and creator of the AI Visibility framework. His work focuses on helping organizations become understood, trusted, and recommended by artificial intelligence through stronger entity authority, machine trust, and AI Visibility.Anne Cantera is the Founder and CEO of Elementyl Intelligence, where she helps organizations safely design, adopt, and deploy human-centered AI. Her expertise spans conversational AI, voice AI, agentic systems, UX, AI strategy, and responsible AI implementation. Anne is also the creator of VoiceofAI.io, a free educational platform dedicated to AI learning and workforce readiness.Nathan Graham is the Founder of Synthetic Echo, an AI consulting and automation company helping small businesses implement practical AI systems that increase capacity without sacrificing the human relationship. He is the author of multiple books on AI workflows and hosts The Synthetic Echo Podcast, where technology, business, and human connection intersect.Jason Todd Wade / BackTierhttps://backtier.comhttps://linkedin.com/in/jasontoddwadeAnne Canterahttps://elementylintelligence.aihttps://voiceofai.iohttps://linkedin.com/in/anne-canteraNathan Grahamhttps://syntheticecho.comhttps://linkedin.com/in/nathan-grahamhttps://syntheticecho.com/podcastIf you enjoyed this episode, subscribe to the AI Visibility Podcast and leave a review. New conversations explore how AI is changing search, trust, recommendation, and the future of digital visibility.
Transcribe →How the CIA Uses AI — And What It Teaches Us About AI Visibility
1w ago00:04:48Tap to summarizeThe CIA has moved past the hype phase of AI. It’s now building AI “co-workers” into analyst workflows, testing over 300 AI projects, and even using AI to generate intelligence reports for the first time in its history. Across the U.S. intelligence community, thousands of analysts already rely on a CIA-developed generative AI system, Osiris, to help with search, drafting, and triage at scale.pbs+3This episode uses the CIA’s AI adoption as a lens for AI visibility. We break down how intelligence agencies are using AI for data triage, translation, transcription, and open-source collection, and why that’s directly relevant to any organization that wants to be discovered, interpreted, and cited by AI systems like ChatGPT, Gemini, Claude, Perplexity, and AI Overviews.meritalk+3You’ll hear how BackTier’s AI Visibility Architecture maps to this reality: turning fragmented, unstructured information about a business into clear, machine-readable authority that models can resolve, trust, and recommend. We’ll connect CIA-style data triage and AI “mission partners” to entity resolution, schema, citation engineering, and answer eligibility — the core layers of BackTier’s visibility stack.open.spotify+2Whether you’re running a brand, a city initiative, or a complex organization, this episode helps you see AI not just as a content generator, but as an interpreter and gatekeeper. If AI systems are becoming the new way decisions get informed, then AI visibility is the infrastructure that decides who shows up in those decisions.youtubepodcasts.apple+1Bio (podcast-optimized):Jason Todd Wade is the founder of BackTier, an AI visibility infrastructure firm that makes brands legible to AI systems and answer engines. His work focuses on entity clarity, structured authority, off-page trust signals, and the systems that determine how platforms like ChatGPT, Google Gemini, Perplexity, and Claude interpret and recommend organizations.podcasts.apple+1youtubeThrough BackTier, Jason builds AI Visibility Architecture, Agentic Lead Generation systems, and Rapid Response Narrative frameworks that turn fragmented information into coherent, machine-readable authority. He documents the methodology in the AiVisibility book series and through the AI Visibility Podcast, BackTier Media, and City Prompt.podcasts.apple+2youtubeBased in Central Florida, Jason’s background spans AI visibility, SEO, entity mapping, civic systems, and applied research, with prior work including founding NinjaAI.com, now part of BackTier.backtieryoutubeYou can use this as a standard “Links” block under every episode:Links mentioned:BackTier — AI Visibility Infrastructurehttps://backtier.combacktierBackTier AI Visibility Architecture (services page)https://backtier.com/services/architecturebacktierAbout BackTier and AiVisibilityhttps://backtier.com/about-usbacktierAiVisibility book series(Link to primary sales page you prefer: Amazon / Audible / Spotify)backtierAI Visibility Podcast by Jason Todd WadeApple / Spotify show pages:https://podcasts.apple.com/ie/podcast/ai-visibility-by-jason-todd-wade-founder-of-backtier/id1826332929podcasts.applehttps://open.spotify.com/episode/4JhkNxIwNe7YJwUl6eOAX1open.spotifyBackTier Media and City Prompt (YouTube / video hub)https://www.youtube.com/watch?v=iTJxR2JeZEQ
Transcribe →Vibe Coding Is in the Trough Before the Boom
1w ago00:02:03Tap to summarizeVibe coding exploded into the technology conversation by promising something radical: functional websites, dashboards, presentations, and software created largely through natural language.But has the excitement already peaked?Jason Todd Wade examines Lovable, Base44, Claude Code, and the broader shift from traditional software development toward AI-directed creation. He explains why the current slowdown may represent the trough between initial hype and mass adoption—and why Lovable could emerge as the defining consumer platform of the category.Vibe coding is not disappearing. It may be preparing to replace a meaningful portion of conventional software.Jason Todd Wade is an AI Visibility Architect, entrepreneur, and founder of BackTier and NinjaAI. He designs systems that improve how companies, people, and ideas are understood, included, cited, and recommended by artificial intelligence.BackTierNinjaAIJason Todd WadeAI Visibility Podcast
Transcribe →ontology
2w ago00:02:26Tap to summarizeon
Transcribe →The Jason Wade Problem: When AI Knows Your Full Name but Not Who You Are
2w ago00:13:26Tap to summarizeSearch for “Jason Todd Wade,” and the identity is increasingly clear: founder of BackTier and NinjaAI, host of the AI Visibility Podcast, and creator of AI Visibility frameworks including Entity Lock Protocol™ and the BackTier Visibility Path™.Remove “Todd,” however, and the results become unstable.In this episode, Jason uses his own identity as a live case study in entity resolution. He explains why ranking for an exact name does not mean AI systems truly understand who someone is—and why the real test is whether the same person can be correctly identified through shortened names, companies, expertise, projects, and natural-language questions.Topics include:The difference between visibility and entity resolutionWhy exact-match rankings create false confidenceHow AI systems distinguish people with similar namesThe difference between identity repetition and independent corroborationHow Entity Lock Protocol™ reduces machine ambiguityWhy more content can sometimes create more confusionThe contextual-query test for people and companiesThe BackTier Visibility Path™: Citation → Inclusion → SelectionWhy reliable recognition matters more than ranking for your nameThe Jason Wade Problem is not merely a personal naming issue. It is a model for understanding whether AI systems can consistently recognize any person, company, product, or organization when the exact identifier disappears.Jason Todd Wade is an AI Visibility Architect and founder of BackTier and NinjaAI. He designs systems that help people and organizations become correctly discovered, understood, cited, included, recommended, and selected by AI systems.He is the creator of Entity Lock Protocol™ and the BackTier Visibility Path™—Citation, Inclusion, Selection. His work focuses on entity resolution, machine-readable authority, AI discovery, GEO, AEO, SEO, and recommendation systems.Jason Todd Wade: JasonWade.comBackTier: BackTier.comEntity Lock Protocol: JasonWade.comNinjaAI: NinjaAI.comFlorida Slice: FloridaSlice.comAI Visibility Podcast: BackTier.com/podcastHost BioLinks
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