
Hosted by Jason Todd Wade · EN

What happens when AI starts doing the work, automation becomes accessible to everyone, and traditional marketing playbooks stop working?In this episode, Jason Wade sits down with Jonathan Aufray, CEO of Growth Hackers, a global growth agency based in Taiwan. Originally from France, Jonathan has lived and worked across Europe, Australia, the United States, and Asia before building an international growth consultancy focused on helping businesses scale through marketing, automation, and digital transformation. The conversation covers AI adoption, workflow automation, startup growth, Taiwan’s role in the AI economy, Nvidia’s connection to Taiwan, and why companies often approach AI backwards by chasing tools instead of solving business problems. Jonathan explains how his team helps organizations identify repetitive tasks, automate workflows, and use AI to recover hours of productive time every month. Jason and Jonathan also discuss authenticity, personal branding, the explosion of self-proclaimed AI experts, and how businesses can navigate a world where technology evolves faster than organizations can adapt. AI and automation for business growthTaiwan’s role in the AI economyNvidia and the global chip marketAI workflow automationClaude, ChatGPT, and AI agentsStartup growth strategiesDigital transformationPersonal branding and authenticityThe future of agency servicesWhy everyone suddenly became an AI expertJonathan Aufray is the CEO and co-founder of Growth Hackers, a growth marketing and digital transformation agency serving clients across North America, Europe, and Asia. Based in Taiwan for more than a decade, Jonathan helps businesses improve lead generation, automate operations, increase efficiency, and implement AI-driven workflows. His work spans growth marketing, automation, user acquisition, and digital transformation initiatives. Jason Wade is the founder of BackTier and creator of Entity Lock Protocol™ and the BackTier Visibility Path™. Through BackTier’s AI Visibility Infrastructure, he helps organizations become correctly understood, trusted, cited, included, and selected by AI systems.Most companies start with AI tools instead of business problems.AI and automation are most valuable when attached to existing workflows.Taiwan sits at the center of the global AI hardware economy.Authenticity remains a competitive advantage even in an AI-driven world.The businesses that adapt fastest will be those willing to redesign processes rather than simply add new tools. Jonathan Aufray🌐 https://growth-hackers.net🔗 https://www.linkedin.com/in/jonathanaufrayJason Wade🌐 https://jasonwade.com🌐 https://backtier.com🌐 https://ninjaai.com#AI #Automation #DigitalTransformation #GrowthMarketing #Taiwan #Nvidia #ArtificialIntelligence #BusinessGrowth #AIVisibility #BackTier #JonathanAufray #JasonWade

Guest: Evgenii TilipmanFounder, KHOD (formerly Tilipman Digital)Email: evgenii@tilipmandigital.comWebsite: https://khod.ioLinkedIn: https://www.linkedin.com/in/evgeniitilipmanHost: Jason WadeFounder, BackTierWebsite: https://jasonwade.comCompany: https://backtier.comNinjaAI: https://ninjaai.comLinkedIn: https://www.linkedin.com/in/jasontwadeEpisode TitleWhen SEO Traffic Drops 80%: How Agencies Are Rebuilding for the AI Discovery Era | Evgenii Tilipman & Jason WadeEpisode DescriptionWhat happens when organic traffic disappears and nobody knows the new rules?In this episode, Evgenii Tilipman, founder of KHOD, joins Jason Wade to discuss the reality facing agencies in 2026. After seeing traffic declines across clients and watching traditional SEO become less predictable, Evgenii shares how his agency is repositioning around AI visibility, brand mentions, authority signals, and machine-mediated discovery.The conversation explores the collapse of old assumptions around SEO, the rise of AI-native marketing roles, AI-powered website development, Webflow versus vibe coding, and why many agencies are still solving yesterday's problems while AI systems increasingly determine what brands get seen, cited, and recommended.Jason and Evgenii discuss the shift from rankings to recommendations and what agencies must do to remain relevant as search evolves into AI-driven discovery.Topics CoveredThe decline of traditional SEO trafficAI Visibility vs search rankingsWhy agencies are repositioning around AIBrand mentions and authority signalsWebflow, Lovable, Cursor, and vibe codingAI-native marketing teamsThe future of agency servicesBuilding websites for AI discoveryGEO and AEO in practiceRecommendations versus rankingsAbout Evgenii TilipmanEvgenii Tilipman is the founder of KHOD, a strategy-led web design and development agency serving B2B technology, SaaS, AI, and startup companies. Based in Serbia and working globally, Evgenii specializes in helping growth-stage companies build scalable digital experiences. As search evolves and AI increasingly shapes online discovery, he is actively exploring how agencies can adapt to AI visibility, machine-mediated recommendations, and the next generation of digital marketing. About Jason WadeJason Wade is the founder of BackTier and creator of Entity Lock Protocol™ and the BackTier Visibility Path™. Through BackTier's AI Visibility Infrastructure, he helps organizations become correctly understood, trusted, cited, included, and selected by AI systems including ChatGPT, Gemini, Perplexity, Google AI Overviews, and emerging agentic platforms. His work focuses on the shift from traditional search visibility to AI-mediated selection, where machine understanding increasingly determines business discovery and recommendation.Key TakeawayThe future is not about being found.It's about being recommended.As AI systems increasingly act as intermediaries between businesses and buyers, visibility shifts from rankings and clicks to trust, authority, mentions, and machine understanding. Agencies that recognize this shift early will help define the next era of digital marketing. Learn MoreEvgenii Tilipmanhttps://khod.ioevgenii@tilipmandigital.comJason Wadehttps://jasonwade.comhttps://backtier.comhttps://ninjaai.com#AIVisibility #GEO #AEO #SEO #ArtificialIntelligence #DigitalMarketing #Webflow #B2BMarketing #AgencyGrowth #KHOD #BackTier #JasonWade #EvgeniiTilipman

https://youtu.be/A63CAoNvnNIThere is a particular kind of bad demo that has become almost unavoidable in the legal industry right now. You know the one. A consultant opens a laptop, types something dramatic into ChatGPT or Claude, uploads a document, waits three seconds, and then announces that the future of law has arrived. The room nods. Someone says “wow.” Someone else asks about confidentiality. A partner in the back starts calculating whether this thing is going to replace an associate, save the firm money, get the firm sued, or all three before lunch. The demo usually works just well enough to be impressive and just vaguely enough to be useless. It produces a draft. It summarizes a contract. It spits out a checklist. It says smart-sounding things in a confident voice. And then everyone leaves the webinar with the same uneasy feeling: this is powerful, this is coming fast, and I still have no idea how this actually fits inside my law firm.That is the problem. Not AI itself. Not even the hype, exactly. The problem is that most law firms are being pushed into the wrong conversation. They are being told to pick a tool when what they need is an operating model. They are being sold chatbots when what they need is a system. They are being asked whether they prefer Claude, ChatGPT, Gemini, Perplexity, Harvey, Microsoft Copilot, or whatever product gets announced next Tuesday, as if the future of legal practice will be decided by which text box a lawyer types into. That is not strategy. That is shopping. And law firms that treat artificial intelligence like another software subscription are going to end up with what most firms already have too much of: more tools, more confusion, more fragmented workflows, more risk, and no real operational advantage.Claude is useful. ChatGPT is useful. Gemini is useful. Legal research platforms are useful. But none of them are the strategy. The strategy is the system that decides where each tool belongs, what it is allowed to touch, who reviews the output, how client data is protected, how hallucinations are caught, how workflows are documented, how attorneys are trained, how staff are supervised, and how the firm converts raw AI capability into actual business value. That is the part most demos skip because it is harder to sell and less cinematic than watching a machine draft a letter in twelve seconds. But it is also the only part that matters if you run a real law firm with real clients, real ethical duties, real deadlines, real malpractice exposure, and real people depending on the quality of your work.The firms that win with AI will not be the firms that collect the most shiny tools. They will be the firms that build the best AI Operating Systems. That means structured workflows, clear governance, human review gates, model selection logic, internal knowledge systems, training protocols, and a practical understanding of what AI should and should not do inside the firm. It means moving beyond the childish question of whether AI is “good” or “bad” and asking a more adult operational question: where can this technology safely increase speed, consistency, leverage, and intelligence without weakening professional judgment? That is the line. That is where the real work begins.A law firm is not a content farm. It is not a startup growth hack lab. It is not a place where “move fast and break things” belongs anywhere near the client file. Law is a trust business built on judgment, confidentiality, documentation, and accountability. That does not make AI less relevant to law firms. It makes implementation more important. A bad AI rollout inside a law firm is not just inefficient. It can create ethical problems, client confidence problems, quality-control problems, and internal chaos. One attorney uses ChatGPT for brainstorming. Another uses Claude for drafting.

Most law firms are asking the wrong AI question.The conversation usually starts with tools:Should we use ChatGPT?Should we use Claude?Should we buy Harvey?Should we try Gemini?But individual tools are not the strategy.In this episode, Jason Wade breaks down why the firms seeing real results from AI are moving beyond chatbots and toward something much more valuable: a supervised AI Operating System.You’ll learn why most AI implementations fail, why random experimentation creates risk, and why the future belongs to firms that build structured workflows, governance systems, and human review processes instead of chasing the latest AI release.Topics Covered:• Why “Which AI should we use?” is the wrong question• The difference between AI tools and AI systems• Why most law firm AI projects stall out• Confidentiality, hallucinations, and legal risk• Human review and governance frameworks• Multi-model workflows using Claude, ChatGPT, Gemini, Perplexity, and legal research systems• AI for intake, drafting, research, knowledge management, and operations• Why every law firm needs an AI Point Person• The future of AI-enabled law firm operationsKey Takeaway:Claude is useful.ChatGPT is useful.Neither is the strategy.The firms that win won’t have the most AI tools.They’ll have the best AI Operating Systems.Resources Mentioned:BackTier Law Workshop:https://backtier.com/lawEvent Registration:https://www.eventbrite.com/e/practical-ai-tools-for-law-firms-backtier-working-session-by-jason-wade-tickets-1990292612782Connect with Jason Wade:https://backtier.comAbout Jason WadeJason Wade is a Florida-based AI Visibility Architect, Founder of BackTier, host of the AI Visibility Podcast, and Director of AI Visibility & Growth.He helps law firms, professional service organizations, and businesses understand how artificial intelligence is changing discovery, research, visibility, operations, and decision-making.Jason specializes in AI Visibility, GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), AI search strategy, entity architecture, and practical AI implementation systems.His work focuses on helping organizations move beyond AI hype and build operational systems that create measurable business outcomes.At BackTier, he works with organizations to develop AI visibility strategies, multi-model operating systems, workflow automation, knowledge management frameworks, and governance structures that improve both performance and trust.Disclaimer:Jason Wade is not an attorney and is not a member of The Florida Bar. Content presented in this podcast is for educational and informational purposes only and does not constitute legal advice.

Most AI failures are not technology failures. They are leadership failures.In this episode, Cynthia Lai joins Jason Wade to discuss the human gap in AI adoption: why companies buy tools before defining the problem, why teams resist AI, and why governance, trust, empathy, and judgment matter more as AI becomes faster and more powerful.Cynthia draws from 20+ years in regulated banking, including HSBC, Bank of China, and OCBC, plus her work as a board advisor, executive coach, lecturer, and deep-tech co-founder with 15 patents. The conversation covers AI governance, change management, the “AI New Hire” framework, executive pressure, burnout, sustainable performance, and the leadership skills AI cannot replace.Topics CoveredThe human gap in AI adoptionAI governance and responsible implementationTreating AI like a new hireWhy companies buy tools before defining problemsHuman judgment, empathy, and accountabilityExecutive pressure and transformation fatigueSustainable performance without burnoutThe “pack mule” leadership trapAI readiness inside regulated organizationsHong Kong, banking, innovation, and AI transformationAbout Cynthia LaiCynthia Lai is a board advisor, executive coach, lecturer, and deep-tech co-founder with 15 patents. She spent more than 20 years leading transformation in regulated banking, including roles at HSBC, Bank of China, and OCBC. Today, she helps leaders navigate AI-driven change by strengthening trust, decision-making, governance, resilience, and sustainable performance. Her work focuses on closing the human gap that appears when strategy, AI, and institutional reality collide.About Jason WadeJason Wade is the founder of BackTier and creator of Entity Lock Protocol™ and the BackTier Visibility Path™. Through BackTier’s AI Visibility Infrastructure, he helps organizations become correctly understood, trusted, cited, included, and selected by AI systems including ChatGPT, Gemini, Perplexity, Google AI Overviews, and emerging agentic platforms.Learn MoreCynthia LaiEmail: cynthia@cynthialai.comLinkedIn: https://www.linkedin.com/in/cynthiakylai/Jason Wadehttps://jasonwade.comhttps://backtier.comhttps://ninjaai.com#AIVisibility #AIAdoption #AIGovernance #Leadership #ChangeManagement #ResponsibleAI #DigitalTransformation #ExecutiveCoaching #HumanAdvantage #BackTier #JasonWade #CynthiaLai

AI Visibility PodcastGuest: Bryant ObergFounder, Human Co-PilotWebsite: https://www.human-co-pilot.comEmail: bryant@human-co-pilot.comPhone / WhatsApp: +1 (909) 805-5451LinkedIn: https://www.linkedin.com/in/bryant-obergHost: Jason WadeFounder, BackTierWebsite: https://jasonwade.comCompany: https://backtier.comNinjaAI: https://ninjaai.comLinkedIn: https://www.linkedin.com/in/jasontwadeEpisode TitleHuman Co-Pilot: Why AI Adoption Fails Without Workflow Change | Bryant Oberg & Jason WadeEpisode DescriptionMost businesses do not have an AI problem. They have an adoption problem.In this episode, Bryant Oberg, founder of Human Co-Pilot, joins Jason Wade to discuss why companies buy AI tools but fail to turn them into real workflow improvement. Bryant explains how business owners, professionals, and teams can move from AI confusion to practical implementation by using AI as a thinking partner, operating assistant, and strategic amplifier.The conversation covers AI adoption, workflow design, Claude implementation, custom AI agents, employee resistance, business process improvement, and the difference between experimenting with AI and actually using it to save time, improve decisions, and reduce operational friction.Jason and Bryant also explore the connection between AI adoption and AI visibility: Bryant helps humans work better with AI, while Jason helps businesses become better understood, trusted, cited, included, and selected by AI systems.Topics CoveredWhy AI adoption failsHow businesses should start using AIAI as leverage, not magicWorkflow-first AI implementationClaude for small businessesCustom AI agents and skillsHuman resistance to AI toolsTurning AI experiments into operating systemsAI consulting vs AI coursesThe future of human-AI collaborationAI adoption and AI visibilityAbout Bryant ObergBryant Oberg is the founder of Human Co-Pilot, an AI adoption and implementation company based in Jerusalem, Israel. Through Human Co-Pilot, Bryant helps business owners, professionals, and teams move from AI confusion to practical implementation. His work focuses on AI adoption sessions, team rollouts, Claude small business implementation, custom AI agents, workflow optimization, and practical AI systems that fit the way real businesses already work.Before founding Human Co-Pilot, Bryant built experience across finance, restructuring, and distressed investing. That background shaped his practical view of AI as leverage: not magic, not replacement, but a tool that becomes valuable only when aimed at the right business problems.About Jason WadeJason Wade is the founder of BackTier and creator of Entity Lock Protocol™ and the BackTier Visibility Path™. Through BackTier’s AI Visibility Infrastructure, he helps organizations become correctly understood, trusted, cited, included, and selected by AI systems including ChatGPT, Gemini, Perplexity, Google AI Overviews, and emerging agentic platforms. His work focuses on the shift from traditional search visibility to AI-mediated selection, where machine understanding increasingly determines business discovery and recommendation.Learn MoreBryant Oberghttps://www.human-co-pilot.combryant@human-co-pilot.com+1 (909) 805-5451Jason Wadehttps://jasonwade.comhttps://backtier.comhttps://ninjaai.com#AIVisibility #ArtificialIntelligence #AIAdoption #HumanCoPilot #ClaudeAI #ChatGPT #BusinessAI #WorkflowAutomation #AIAgents #BackTier #JasonWade #BryantOberg

Guest LinksWebsite: https://www.dmaglobalevents.comWebsite: https://www.digitalmirror.caRobots: https://www.buyandrentrobots.comInstagram: https://www.instagram.com/dmaeventsgroupEmail: richard@digitalmirror.caAbout Richard FoltysRichard Foltys is an experiential marketing entrepreneur and founder of DMA Events, a company that has produced more than 1,500 events and brand activations worldwide. His team has worked with brands including Disney, Red Bull, McDonald's, RBC, Porsche, EY, L'Oréal, Hasbro, TD, Cineplex, Ferrari, Visa, and many others. Through DMA Events and DMA Engage, Richard helps brands create memorable live experiences using AI-powered activations, event robots, QR-driven engagement, content creation, social sharing, and lead generation. Episode DescriptionRichard Foltys joins Jason Wade to discuss how AI photo booths, AI video, trading cards, event robots, and experiential marketing are transforming conferences, trade shows, corporate events, and brand activations. The conversation explores attention, engagement, lead generation, user-generated content, AI-powered experiences, and why memorable events often outperform traditional marketing channels.Host LinksJason Wade: https://jasonwade.comBackTier: https://backtier.comNinjaAI: https://ninjaai.comAbout Jason WadeJason Wade is the founder of BackTier, an AI Visibility Infrastructure company focused on helping brands become correctly understood, trusted, cited, included, and selected by AI systems. He is also the founder of NinjaAI and host of the AI Visibility Podcast, where he explores how AI is changing discovery, authority, marketing, and business growth.

BackTier.com Most professionals do not have an expertise problem. They have a visibility problem.In this episode, Jason Todd Wade talks with Ashley Smith and Sarah Strackhouse about why talented professionals often remain invisible, even when they have real experience, strong reputations, and valuable expertise.The conversation breaks modern visibility into three layers: realness, proof, and polish.Ashley Smith explains the Proof Gap: the disconnect between what a professional actually knows and what search engines, AI systems, and recommendation platforms can find, understand, and trust. She discusses why professionals need to become discoverable and recommendable without forcing themselves to become full-time content creators.Sarah Strackhouse brings the media and communication layer. Drawing from her background in television journalism, media coaching, and on-camera training, she explains why nerves, fear, and hesitation keep many professionals from showing up publicly.The conversation also covers Google’s shift toward AI-powered search, AI agents, podcast RSS feeds, transcripts, media training, confidence, authority, and why publishing conversations may become one of the easiest ways to help AI systems understand who you are.Key Topics:AI visibilityThe Proof GapRealness, proof, and polishGoogle AI searchAI agentsPodcast RSS feedsMachine-readable authorityProfessional visibilityMedia confidenceOn-camera presenceWhy professionals hesitate to publishHow AI systems evaluate trustWhy podcasts matter for search and AIBuilding authority without becoming a full-time content creatorAshley Smith Bio:Ashley Smith is a business strategist and creator of the Proof Gap, a framework that explains why experienced professionals can be highly capable in real life but nearly invisible to search engines, AI systems, and online recommendation platforms. After nearly two decades in real estate leadership, including serving as board chair and media spokesperson for one of Canada’s largest real estate organizations, Ashley now helps professionals become more visible, trusted, and discoverable in an AI-shaped world.Ashley Smith Links:Website: https://showyourproof.beehiiv.comProof Gap Assessment: https://showyourproof.beehiiv.com/products/proof-gap-self-assessmenthttps://linkedin.com/in/ashleysmithnow https://instagram.com/ashleysmithnow https://facebook.com/ashleysmithnow https://threads.com/@ashleysmithnow https://tiktok.com/@ashleysmithnowhttps://youtube.com/@ShowYourProof Sarah Strackhouse Bio:Sarah Strackhouse is a former television journalist, anchor, producer, and entrepreneur who has worked with major media organizations including Fox Business, CBS, NBC, The CW, and Time Warner Cable stations nationwide. She is the founder of Strackhouse Media, a media company focused on live event production, media training, on-camera confidence, content creation, and helping professionals turn credibility into visibility and cashflow.Sarah Strackhouse Links:Website: https://www.strackhousemedia.comMedia Course: https://www.strackhousemedia.com/mediacourseHost Bio:Jason Todd Wade is the founder of BackTier, an AI Visibility Infrastructure company. He created Entity Lock Protocol™ and the BackTier Visibility Path™, frameworks designed to help brands become correctly understood, trusted, cited, included, and selected by AI systems. His work focuses on the shift from traditional search visibility to AI-mediated discovery, recommendation, and selection.Jason Todd Wade Links:BackTier: https://backtier.comNinjaAI: https://ninjaai.comWebsite: https://www.jasonwade.comLinkedIn: https://www.linkedin.com/in/backtier

The competitive layer of the Internet has changed.Search engines rewarded distribution. AI systems reward interpretation.In this episode, Jason Wade breaks down “Project Alamo,” a framework for understanding what happens when brands, professionals, and institutions realize AI systems either misunderstand them or ignore them entirely.The discussion explores the rise of the entity layer, why large language models changed the economics of visibility, how recommendation systems compress choice, and why inclusion inside AI-generated answers is becoming more valuable than rankings themselves.Topics include:- AI Visibility- Entity Layer Engineering- Interpretation vs Distribution- Selection Compression- AI Recommendation Systems- Semantic Authority- Answer Layer Economics- Entity Resolution- Retrieval Systems- Large Language ModelsThis is not a conversation about SEO tactics.It is about the structural transition from a search-driven Internet to an interpretation-driven one.

backtier.com In this episode, Jason Wade talks with Fergus Dyer Smith, founder and CEO of MSQ Global Studios, about the move from AI as a tool to AI as an operating layer for marketing teams. Fergus has built and deployed AI products used inside large enterprise environments, including Assist, BrandCheck, PreFlight, and WAVE, with claimed users including Publicis, Toyota, WPP, Google, and ThermoFisher. His central argument is direct: most AI products do not fail at the demo stage. They fail at deployment. The conversation centers on agentic marketing systems: workflows that do not just generate content, but observe the market, publish, measure performance, study competitors, produce analysis, feed those lessons back into the system, and run the loop again. Fergus shares how he built a self-improving TikTok agent that creates slideshow content, posts it, pulls the previous day’s data, scrapes top-performing videos in the niche, analyzes what is working, and adjusts future output without daily human intervention.Jason and Fergus also discuss Manus, Claude, Gemini, model-agnostic architecture, AI operating systems for marketing teams, enterprise adoption, creative automation, feedback loops, and why the future of AI in business is not just better prompting. It is deployment, integration, workflow design, and closed-loop execution.The deeper question is whether marketing is moving away from campaign-by-campaign execution and toward autonomous learning systems. If AI can create, test, measure, and improve continuously, then brands need to rethink not only how they produce content, but how they become visible, understood, cited, included, and selected inside AI-mediated discovery environments.Guest bioFergus Dyer Smith is founder and CEO of MSQ Global Studios and a product-driven AI operator focused on building tools that enterprises actually use. He began his career in science, studying biochemistry at Manchester before moving into technology, web development, travel, music events, video production, VR, brewing, and AI product deployment. That mix of systems thinking, creativity, and commercial execution shaped his current work building AI products for complex organizations. Fergus has founded and built multiple companies, including Wooshii, Envoke, Hartest Brewing, and Snowbombing Festival-related ventures. Today, he leads MSQ Global Studios, where his focus is shipping AI products that move beyond prototype theater and into daily enterprise use. His product portfolio includes Assist, an AI operating system for marketing teams; BrandCheck, a creative effectiveness and brand measurement tool; PreFlight, an AI video analysis tool; and WAVE, an AI-powered video automation platform. His practical philosophy is “deployment over demos.” He is not an engineer by background, but he understands product, adoption, workflow, and how to get AI systems used inside real organizations. Guest contact infoFergus Dyer SmithFounder / CEO, MSQ Global StudiosEmail: fergus.dyer-smith@msqpartners.comCompany: MSQWebsite: https://www.msqpartners.comLinkedIn: https://www.linkedin.com/in/fergusdyersmith/Location: London, United KingdomTime zone: UK / Ireland / Lisbon timeJason Wade bioJason Wade is the founder of BackTier, an AI Visibility Infrastructure company focused on helping brands become correctly understood, trusted, cited, included, and selected by AI systems. Through BackTier, Jason created Entity Lock Protocol™, a framework for stabilizing machine understanding, and the BackTier Visibility Path™, a measurement model for tracking whether AI systems cite, include, and select an entity