AI Visibility: How to Get Your Brand Recommended by ChatGPT, Perplexity, and Google AI

Jason Todd Wade

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.

  1. 10h ago

    Stop Vibe Coding: Building AI, Robots and Software the Boring Way

    https://youtu.be/nKAaJ1NARng Former Amazon AI leader Krishna Kumaar Sharma joins Jason Todd Wade for a blunt conversation about the economics, hype and practical future of artificial intelligence. Krishna explains why Germany and much of Europe remain behind the United States in enterprise AI adoption, why rising token costs could erase many promised productivity gains, and why deploying hundreds of loosely controlled AI agents is often an expensive substitute for proper planning. The conversation explores Krishna’s work building Omokai, a voice-AI interface designed to let people command robots, drones and machine swarms using natural language. The goal is to eliminate complicated controllers and make physical AI usable across manufacturing, inspection, security, caregiving and defense applications. Krishna also introduces the central argument behind his forthcoming book, Agentic Coding the Boring Way: AI should be managed like an intern, not treated like an autonomous genius. Reliable AI development requires breaking projects into defined tasks, creating detailed plans and using competing models to review one another before code reaches production. Jason and Krishna also discuss Claude, ChatGPT, Amazon, Perplexity, Manus, Lovable, Base44, AI subscription fatigue, token maxing and the widening gap between impressive AI demonstrations and sustainable business value. — Why enterprise AI adoption remains slower in Germany— The hidden economics of AI usage and token consumption— Why “token maxing” and massive agent swarms can waste money— How Omokai converts spoken commands into robot and drone actions— Why physical AI may produce clearer ROI than software wrappers— The difference between vibe coding and controlled AI development— Using ChatGPT, Claude and Gemini as competing reviewers— Why planning remains essential even when AI writes the code— How technical research can create visibility for an emerging company— Where AI platforms may consolidate next Krishna Kumaar Sharma is a Berlin-based AI executive, researcher and former Amazon Head of AI with more than 17 years of technology experience. He is building Omokai, a dual-use voice-AI platform that allows operators to command and control robots, drones and machine swarms through natural language. (LinkedIn⁠) His work focuses on physical AI, agentic software development and building reliable AI systems without uncontrolled complexity or excessive infrastructure costs. He is also developing Agentic Coding the Boring Way, a practical methodology for using AI to build software through structured planning, review and controlled execution. Jason Todd Wade is the founder of BackTier and NinjaAI and host of the AI Visibility Podcast. He develops AI Visibility systems that help companies, professionals and ideas become understood, cited and recommended inside AI-generated answers. His work covers AI discovery, entity positioning, GEO, AEO, AI SEO and the infrastructure required to build durable authority across search engines, language models and recommendation systems. Krishna Kumaar SharmaLinkedIn: Krishna Kumaar Sharma — linkedin.com/in/krisberlinCompany: Omokai — linkedin.com/company/omokaiBook: Agentic Coding the Boring Way — waitlist link forthcoming Jason Todd WadeBackTier: BackTier.comNinjaAI: NinjaAI.comPersonal site: JasonWade.comPodcast: AI Visibility by Jason Todd Wade In this episodeAbout Krishna Kumaar SharmaAbout Jason Todd WadeConnect

    24 min

  2. 1d ago

    How AI Is Changing Accessibility: Max Ivey on Blindness, Adaptive Technology & the Future of Human-Centered AI

    Artificial intelligence has the potential to make technology more accessible than ever—but only if it’s built with real users in mind. In this episode, Jason Wade sits down with Max Ivey, known online as The Blind Blogger, to discuss decades of adaptive technology, the evolution of accessibility, and why AI is both an incredible opportunity and a growing challenge for people with disabilities. Max shares his journey from growing up in a family-owned carnival business to teaching himself HTML while nearly blind, building an online business, and becoming a respected advocate for accessible technology. Together they discuss: Growing up blind and adapting to changing technologyEarly screen readers, OCR, Braille, and assistive devicesWhy accessibility often breaks after software updatesClaude vs. ChatGPT vs. Gemini from an accessibility perspectiveAI’s impact on employment for people with disabilitiesHuman experience versus technical accessibility standardsWhy Information Architecture matters for accessibilityThe importance of keeping humans in the AI loopVoice interfaces, wearable AI, and the future of assistive technologyThe surprising ways AI can both empower and frustrate usersThis conversation offers a practical reminder that the best AI products aren’t simply the smartest—they’re the most usable. Max Ivey is an accessibility consultant, speaker, entrepreneur, and creator known as The Blind Blogger. After losing nearly all of his vision, Max taught himself HTML, built multiple online businesses, and became a respected advocate for digital accessibility. Drawing on decades of lived experience, he helps organizations understand how real users interact with websites, software, AI systems, and emerging technologies. Today Max works with businesses, conferences, and technology teams to improve accessibility, inclusion, and user experience while demonstrating how better accessibility creates better products for everyone.   Accessibility is one of the strongest real-world tests of AI quality.Human experience cannot be replaced by technical compliance alone.Software updates frequently introduce accessibility regressions.AI should amplify human capability—not replace human judgment.Designing for accessibility ultimately improves products for every user.  Guest BioKey Takeaways

    26 min

  3. 3d ago

    Three Podcasts, Three Different Missions: BackTier Media, City Prompt, and AI Visibility

    Jason Todd Wade introduces the new three-podcast structure for BackTier. BackTier Media will cover compelling stories, commentary, investigations, and the story behind the story. City Prompt will explore how cities, local businesses, civic organizations, and residents can use AI to improve design, communication, research, planning, and local identity. The core idea is to create a reusable prompt language for a city so that public-facing work can feel more cohesive, more local, and less generic. City Prompt will also examine a larger opportunity: using AI, public data, existing research, planning documents, and multiple models to produce serious civic analysis and proposals that once required expensive consulting engagements. AI Visibility Podcast by BackTier will continue covering AI search, entity authority, machine interpretation, citation, inclusion, and how organizations become recommended inside AI-generated answers. Together, the three shows create a clearer structure for BackTier’s media work: BackTier Media for stories. City Prompt for cities and applied AI. AI Visibility for machine discovery and authority. This episode was also recorded as an early sound test from the new BackTier office. Jason Todd Wade is the founder of BackTier and NinjaAI and the host of BackTier Media, City Prompt, and the AI Visibility Podcast. His work focuses on AI visibility, machine interpretation, entity authority, civic systems, local design, strategic research, and the ways AI systems discover, classify, cite, and recommend people, businesses, organizations, and places. Through BackTier, he develops AI visibility systems, research frameworks, and applied AI strategies designed to turn fragmented information into clear, usable, and machine-readable authority. He is based in Central Florida. Bio

    4 min

  4. 5d ago

    What a Week Away From AI Podcasting Taught Me About Authority.

    After publishing a steady run of episodes about AI visibility, search, platform risk, agents, law, local authority, and machine-mediated discovery, Jason Todd Wade took a week off from podcasting about AI. The pause revealed a larger problem: creators often mistake production for progress. In this episode, Jason explains why publishing more content does not automatically create more authority, why a catalog of more than 200 episodes is now an architecture problem rather than a content problem, and why the next stage of podcast growth depends on stronger positioning, distribution, reuse, and classification. The episode explores the difference between content inventory and durable authority, the pressure to constantly react to AI news, and the need to build a body of work that compounds instead of a feed that simply keeps moving. Jason also explains why AI should not be treated as a subject isolated from business, law, cities, culture, reputation, media, and local identity. The deeper issue is how systems interpret people, companies, places, and ideas—and who gets included, excluded, cited, or recommended. Topics include: Why Jason took a week off from AI podcasting The difference between consistency and compounding Why more publishing can create noise instead of authority What a catalog of 200-plus episodes now requires Why titles, transcripts, articles, clips, and internal links matter How podcasts function as part of a larger AI visibility system Why local stories, business stories, and reputation stories are also AI stories The shift from constant production to deliberate authority architecture The core lesson: the next stage is not about producing more. It is about making the existing work compound.

    7 min

  5. Jun 27

    AI Dive #001: Market Intelligence for the Machine-Mediated Economy

    Artificial intelligence is not just changing technology. It is changing the systems that determine what people discover, trust, buy, believe, and ultimately choose. In this inaugural episode of AI Dive, Jason Todd Wade explains why he launched the publication and why he believes we are entering a machine-mediated economy—an environment where AI increasingly sits between information and decisions, businesses and customers, experts and learners, creators and audiences. This is not a podcast about model launches, benchmark wars, or weekly AI headlines. It is an investigation into the infrastructure beneath artificial intelligence: How AI is transforming search from retrieval to recommendationWhy visibility is increasingly about being selected, not simply foundThe rise of machine-mediated trust and authorityThe emergence of AI as a distribution and decision layerWhy second-order effects matter more than first-order reactionsHow recommendation systems are quietly reshaping markets and institutionsThe growing importance of memory, entity architecture, and machine interpretationAI Dive explores the systems that determine: What gets surfacedWhat gets trustedWhat gets citedWhat gets recommendedWhat gets rememberedBecause by the time a trend becomes obvious, most of the advantage has already been captured. This is market intelligence for the machine-mediated economy. The Machine-Mediated EconomyAI as an IntermediarySearch Beyond SearchRecommendation SystemsAI Visibility and SelectionTrust InfrastructureAuthority SystemsAgentic SystemsMemory ArchitectureSecond-Order Effects of Artificial IntelligenceThe Future of Human-Machine Decision Making“Most people see the interface. I want to understand the infrastructure.” “AI isn’t simply replacing search. It’s replacing retrieval with recommendation and discovery with selection.” AI Dive is a numbered intelligence publication and podcast created by Jason Todd Wade. Each episode explores how artificial intelligence, search systems, agents, platforms, and institutions are reshaping: DiscoveryTrustRecommendationAuthorityMemoryEconomic advantageThe publication focuses on the layer most people miss: The systems behind machine-mediated decisions. Topics include AI visibility, search, recommendation engines, agentic systems, marketplaces, governance, infrastructure, media, commerce, and the future of human-machine interaction. Jason Todd Wade is an AI Visibility Architect, founder of BackTier and NinjaAI, and publisher of AI Dive. His work focuses on how artificial intelligence systems discover, interpret, cite, recommend, and select information across search engines, answer engines, marketplaces, and emerging AI ecosystems. Wade writes extensively about: AI VisibilityEntity ArchitectureRecommendation SystemsMachine-Mediated TrustSearch and DiscoveryAuthority InfrastructureThe economic consequences of AI-driven recommendationBorn in Gainesville, Florida in 1974, his research sits at the intersection of artificial intelligence, search, media, commerce, and technology strategy. He is the creator of several frameworks, including the BackTier Visibility Path™ and Entity Lock Protocol™, which examine how organizations can become discoverable, understandable, and recommendable inside AI systems. Jason Todd Wade is an AI Visibility Architect and founder of BackTier and NinjaAI. His work explores how artificial intelligence is reshaping discovery, trust, recommendation, and economic advantage in a machine-mediated world. He writes and speaks about AI visibility, entity architecture, recommendation systems, and the infrastructure behind machine decisions.

    6 min

  6. Jun 23

    Florida Slice: Building Authority AI Systems Can Understand

    Florida Slice looks like a weekly editorial project about Florida’s most interesting cities. Strategically, it is something much larger: a working demonstration of AI Visibility Architecture. In this episode, Jason Todd Wade explains how Florida Slice builds authority through structured publishing, clear authorship, entity relationships, original research and sustained geographic coverage. Rather than producing generic travel content, Florida Slice documents the history, architecture, institutions, businesses, landmarks and people that define each Florida community. Every city feature expands a connected body of evidence that search engines and AI systems can retrieve, interpret and potentially cite. Jason breaks down how the project: • Builds regional and topical authority• Strengthens identity resolution around Jason Todd Wade• Creates original, citation-worthy resources• Connects cities, landmarks, institutions and people as identifiable entities• Demonstrates the practical application of AI SEO, GEO and AEO• Turns an editorial publication into a long-term machine-readable authority asset Florida Slice proves a central principle of AI visibility: authority is not created by repeatedly claiming expertise. It is created by building a coherent, credible and externally verifiable body of work. One city at a time. One entity at a time. One layer of evidence at a time. Learn more: Florida Slice: FloridaSlice.comJason Todd Wade: JasonWade.comBackTier: BackTier.comNinja AI: NinjaAI.com Jason Todd Wade is an AI Visibility Architect, digital publisher and founder of BackTier and Ninja AI. He designs systems that help companies, professionals and publications become clearly understood, retrieved, cited and recommended by search engines and artificial intelligence platforms. He is also the creator of Florida Slice, a city-by-city editorial network documenting the history, architecture, institutions, businesses, culture and people that define Florida communities. The project serves both as an independent Florida publication and as a working demonstration of how structured content, entity clarity and sustained publishing can build durable authority inside AI-generated answers.

    9 min

  7. Jun 21

    Ashley Smith and the Proof Gap: Why Expertise Is Becoming Invisible

    For years, Ashley Smith kept seeing the same pattern. Some of the most experienced professionals she knew-people with decades of expertise, exceptional reputations, and proven results-were nearly invisible online. At the same time, less experienced professionals often appeared more credible simply because their expertise was easier to find, understand, and evaluate. That observation eventually became the foundation for Ashley’s work and the creation of Show Your Proof. In this episode, we explore Ashley Smith’s Proof Gap framework, why expertise alone is no longer enough in the age of search and AI, and how professionals can close the growing gap between what they know and what the world can see. Ashley’s central insight is simple: The problem is not a lack of expertise. The problem is that expertise often fails to become evidence. And if people-or increasingly AI systems-cannot understand your expertise, they cannot recommend it. TOPICS: • Ashley Smith’s journey from REALTOR to industry leader• Serving as Chair of Greater Vancouver REALTORS• Why some of the most experienced professionals remain invisible online• The origin of the Proof Gap framework• The difference between expertise and visible proof• Why referrals now lead to search, evaluation, and filtering• How AI is changing professional discovery• Why proof is different from marketing• The concept of Minimum Viable Proof• Why visibility is increasingly a trust issue• The future of authority in the age of AI• The mission behind Show Your Proof KEY INSIGHT For decades, expertise could live inside conversations, client relationships, referrals, and reputation. Today, expertise increasingly needs to exist in a form that can be discovered, interpreted, referenced, and trusted. Not because expertise has changed. Because discovery has changed. ABOUT ASHLEY SMITH Ashley Smith is the founder of Show Your Proof, creator of the Proof Gap framework, and a Digital Authority Strategist focused on helping professionals make their expertise visible, understandable, and discoverable. Before launching Show Your Proof, Ashley spent nearly two decades in real estate and served as Chair of Greater Vancouver REALTORS, one of Canada’s largest real estate organizations representing approximately 15,000 members. Throughout her career, she observed a recurring challenge: highly capable professionals with decades of experience often struggled to communicate their expertise online, while less experienced professionals appeared more credible simply because their knowledge was easier to see. That realization led to the development of the Proof Gap framework. Today, Ashley helps business owners, consultants, executives, advisors, real estate professionals, and subject-matter experts close the gap between expertise and evidence. Her work focuses on creating clear, structured proof that helps people-and increasingly AI systems-understand what someone knows, why it matters, and why they can be trusted. Ashley believes that visibility is not about becoming famous. It is about becoming understandable. And when expertise becomes easier to understand, everyone wins. ABOUT SHOW YOUR PROOF Show Your Proof is a visibility and authority platform founded by Ashley Smith. Built around the Proof Gap framework, Show Your Proof helps professionals transform years of experience, insight, and results into clear evidence that can be found, understood, and trusted. The platform focuses on: • Proof-based authority• Digital visibility• Professional credibility• AI discoverability• Expertise documentation• Trust signals• Personal authority systems FOLLOW ASHLEY SMITH Website: ShowYourProof.co LinkedIn: https://www.linkedin.com/in/ashleysmithnow/ ABOUT BACKTIER MEDIA BackTier Media profiles the people, frameworks, and ideas shaping visibility, authority, trust, and discovery in the machine-mediated economy Learn more: BackTier.com AIDive.online JasonWade.com

    6 min

  8. Jun 15

    Let's Go Digital: SEO, AI Agents, and the Future of Organic Growth | Adrian Nikolov & Jason Todd Wade - BackTier

    Adrian NikolovFounder, Haide Digital📧 adrian@haide.digital🌐 https://haide.digital🔗 LinkedIn: Adrian Nikolov Jason Todd WadeFounder, BackTier📧 jason@backtier.com🌐 https://backtier.com🌐 https://ninjaai.com🌐 https://jasonwade.com Let's Go Digital: SEO, AI Agents, and the Future of Organic Growth | Adrian Nikolov & Jason Todd Wade Organic Growth Engineering: The Next Evolution of SEOWhy AI Isn't Replacing SEO—It's Rebuilding ItAI SEO, GEO, and the End of Marketing SilosBuilding in the Age of AI: From SEO Expert to Growth EngineerLet's Go: How AI Is Creating a New Generation of BuildersWhat happens when a 17-year SEO veteran suddenly gets a team of AI developers working 24 hours a day? In this episode, Jason Todd Wade sits down with Adrian Nikolov, founder of Haide Digital, to discuss AI agents, Claude, coding assistants, GEO, SEO, AI automation, and what Adrian calls Organic Growth Engineering. Adrian shares his perspective from nearly two decades in search and explains why AI feels like a return to the early days of digital marketing, when small operators could move faster than large organizations. The conversation explores the rapid evolution of Claude, AI coding tools, vibe coding, automation, startup growth, and why experienced SEO professionals may be uniquely positioned to thrive in the AI era. Jason and Adrian also discuss the confusion many businesses feel around AI adoption, the future of paid advertising, why SEO and GEO are becoming increasingly automated, and how experienced practitioners can use AI to amplify decades of accumulated knowledge. The discussion covers everything from WordPress and website optimization to AI hallucinations, Reddit communities, LLM optimization, and the opportunities available to builders willing to embrace uncertainty. Claude, Opus, and AI coding modelsGEO, SEO, and AI VisibilityOrganic Growth EngineeringAI agents and automationVibe coding and rapid prototypingStartups and SaaS growthWhy businesses struggle with AI adoptionReddit and community-driven discoveryAI hallucinations and quality controlThe future of digital agenciesAdrian Nikolov is the founder of Haide Digital, a consultancy focused on organic growth, AI automation, GEO, and modern search strategy. With more than 17 years of experience in SEO and digital marketing, Adrian has evolved from traditional search optimization into what he describes as Organic Growth Engineering—the combination of SEO, generative engine optimization, AI automation, and scalable growth systems. Through Haide Digital, Adrian helps startups, SaaS companies, and growth-focused organizations navigate the rapidly changing search landscape while leveraging AI tools to build, test, automate, and scale faster than ever before. The company's name comes from the Bulgarian word "Haide", meaning "Let's Go." Jason Todd Wade is the founder of BackTier and NinjaAI and host of the AI Visibility Podcast. His work focuses on AI Visibility, entity optimization, machine trust, and helping organizations become correctly understood, cited, included, recommended, and selected by AI systems. Jason's research explores the transition from traditional search engines toward AI-mediated discovery, recommendation systems, and the emerging layers that influence how entities are interpreted and surfaced by modern AI platforms. AI is giving experienced operators unprecedented leverage.SEO is evolving into a broader discipline that includes automation and AI systems.GEO and AI Visibility are becoming business necessities rather than experiments.The future belongs to builders who can combine experience with AI capabilities.Organic growth is increasingly an engineering problem, not just a marketing problem.Businesses that wait for certainty may miss the opportunity entirely. Adrian Nikolov🌐 https://haide.digital Jason Todd Wade🌐 https://backtier.com

    26 min
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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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