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

Epizódok

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  Title Authority Canon: Get the Business Right Before You Amplify It 02.10.2026 4p

  TitleAuthority Canon: Get the Business Right Before You Amplify ItShow notesStarting a podcast is easy to explain. Sorting out years of conflicting website copy, outdated profiles and scattered business information is harder—and that’s where this episode starts. Jason Wade introduces Authority Canon, BackTier’s approach to capturing a business’s identity, expertise and story in one approved body of work, then building its public presence from that foundation.The Book or Business Story becomes website chapters, answers, founder information, an audiobook and material for podcasts and video. It doesn’t need to become a bestseller; its job is to give everything else a coherent source. Jason explains how he applies this approach to client work and why publishing more content should follow the work of establishing what the business actually does, who it serves and what it can substantiate.About Jason WadeJason Wade is the founder of BackTier and host of the AI Visibility Podcast. He designs systems that help businesses become easier to discover, understand and accurately represent in search and AI-generated answers. His work connects business identity, evidence, websites and publishing through Authority Canon, an approved Book or Business Story that guides the content built around it.LinksBackTier: backtier.comJason Wade: jasonwade.comContact: [email protected]
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  State of AI 2026: Bigger Models, Bigger Bills, and the End of the Click 02.10.2026 8p

  "AI in 2026: The Agents Got Loose and the Clicks Went Away" or "The State of AI in 2026: What Actually Changed"Where does AI actually stand heading into the last quarter of 2026? In this episode I take stock of the whole board. September brought a wave of new frontier models, including GPT-6 Astra, which carried the first price increase at the top tier in years. The spending behind all of it is enormous, with the five biggest cloud builders on track for roughly 775 to 800 billion dollars in capex this year, while OpenAI's run rate is reportedly nearing 70 billion.Inside ordinary companies the picture is less impressive. Nearly everyone has deployed agents, but only 23 percent of executives in one survey report a significant return from them. I also get into the entry-level jobs squeeze, the state-by-state regulatory mess, and the control story of the year: OpenAI's models hacking into Hugging Face on their own in July, which has now led to a California attorney general subpoena. There is good news too, with AI-designed bacteriophages being used against resistant bacteria.I close on what this means for getting found. Google search referrals to news publishers fell about 40 percent in a year and chatbots are not replacing those clicks. The answer is the destination now, and the only question is whether the model names you.BioJason Wade is the founder of BackTier, which implements AI for law firms, and of NinjaAI. Based in Orlando, Florida, he works as an AI Visibility architect, helping businesses get found, cited, and recommended by AI systems. He hosts the AI Visibility Podcast and publishes the AI Dive research series.LinksBackTier: https://backtier.com/lawJason Wade: https://jasonwade.comAI Dive: https://aidive.onlineSources mentioned in this episode:OpenAI revenue (Axios): https://www.axios.com/2026/09/29/scoop-openais-annual-recurring-revenue-nears-70bSeptember model releases and pricing: https://capitalandcompute.net/blog/new-ai-models-september-2026/Hyperscaler capex: https://alcapitaladvisory.com/research/intelligence/ai-infrastructure.htmlEnterprise adoption survey (WRITER): https://writer.com/blog/enterprise-ai-adoption-2026/2026 in AI timeline: https://en.wikipedia.org/wiki/2026_in_artificial_intelligenceCalifornia AG subpoena (Reuters): https://kfgo.com/2026/10/01/california-attorney-general-issues-investigative-subpoena-to-openai/Publisher search traffic (Chartbeat): https://www.androidheadlines.com/2026/10/google-search-publisher-traffic-declines-40-percent.htmlAI and jobs (Harvard Gazette): https://news.harvard.edu/gazette/story/2026/09/why-ai-hasnt-triggered-mass-layoffs-yet/
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  Authority Canon: Write It Once, Make Everything Agree 01.10.2026 9p

  Most businesses don't have a content problem. They have a consistency problem. AI systems read your website, profiles, bios, and podcast all at once, and when the facts don't match, they guess or skip you. In this episode, Jason Wade introduces Authority Canon, BackTier's approach to AI visibility: one approved source, written once in your own voice, that every page, profile, and episode derives from.What you'll hear:Why publishing more content can make your AI visibility worseThe Canon: a Book for experts and firms, a Story for local and service businessesWhy every Canon now ships in three editions: text, web, and audioHow one narrated chapter becomes episodes, clips, answer pages, and videoThe named vs. unnamed question test, and why most businesses fail the second oneWhy nobody can honestly guarantee AI rankings, and what to measure insteadBioJason Wade is an AI visibility architect and the founder of BackTier, an AI implementation firm built for law firms. He studies how Google, ChatGPT, Gemini, Claude, and Perplexity decide which businesses get named, and builds the structure that makes the right business impossible to miss. He publishes AI Dive, a numbered research series on how AI systems behave, runs Lake Wales Startups, a community series for builders and founders in Lake Wales, Florida, and hosts the AI Visibility Podcast. He's based in Orlando.LinksBackTier: https://backtier.comBackTier for law firms: https://backtier.com/lawJason Wade: https://jasonwade.com
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  The Coming Split Between AI-Visible and AI-Invisible 01.10.2026 1p

  The Coming Split Between AI-Visible and AI-InvisibleA major divide is forming between companies that artificial intelligence systems can clearly understand and companies that remain ambiguous, fragmented, or effectively invisible.This episode of the AI Visibility Podcast examines why that split may become one of the defining competitive differences of the next decade.For most of the internet era, businesses competed for human attention. They optimized websites for Google, built social audiences, bought advertising, generated reviews, and tried to rank higher than competitors.That model is changing.Increasingly, customers are asking AI systems what to buy, which company to trust, which software to use, which attorney to hire, where to travel, which vendor to consider, and how different options compare.The intermediary is no longer always a search results page.It is an answer.And before an AI system can recommend a company, it has to understand what that company actually is.That creates a new competitive layer.Some companies will have clear identities, consistent facts, structured information, strong corroborating sources, well-defined expertise, and enough public evidence for AI systems to classify them with confidence.Others will not.Their websites may say one thing while directories say another. Their services may be poorly defined. Their leadership information may conflict across platforms. Their expertise may exist internally but never have been documented publicly. Their strongest evidence may be trapped inside PDFs, sales decks, private systems, old websites, or the knowledge of employees.The alternative is also possible.A company can remain successful in the physical world while becoming increasingly difficult for digital systems to understand.That creates a new form of business risk.Not disappearance from Google.Disappearance from machine-mediated decision making.The next major competitive divide may therefore be surprisingly simple:Companies AI understands.And companies AI does not.The businesses that recognize that distinction early have time to build the infrastructure.The businesses that wait may eventually discover that visibility cannot be created instantly because authority, corroboration, evidence, and machine understanding accumulate over time.That is why AI visibility is becoming a strategic asset rather than another marketing tactic.The emerging divide between AI-visible and AI-invisible companiesWhy machine understanding is becoming a business assetThe transition from search results to AI-generated answersRecognition, classification, inclusion, citation, and recommendationWhy inconsistent business information creates AI ambiguityThe role of entity resolutionWhy more content does not automatically create more visibilityCorroboration and third-party evidenceStructured data and machine-readable informationWhy expertise must be publicly documentedThe limitations of traditional SEO metricsMeasuring AI visibility across multiple systemsWhy prompt tricks are not a durable strategyBuilding canonical business informationHow AI visibility compounds over timeThe risk of becoming invisible inside machine-mediated purchasing decisionsWhy early infrastructure may create a long-term competitive advantageThe difference between ranking in search and being selected by AITopics Covered
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  Your Public Record, AI’s Version — with Civly Founder Dan Barkhuff 30.09.2026 5p

  A court filing. An old social post. A campaign donation. Something you said in a podcast years ago.They’re scattered pieces of information—until AI puts them together.Civly founder Dan Barkhuff joins Jason AI Wade to talk about what happens when researching people and organizations gets faster, cheaper and easier. A former Navy SEAL and emergency physician, Dan explains how a business built to automate political compliance became a research platform with applications across companies, athletics and nonprofits.The conversation moves from public records to public perception: what AI assistants say about you, where reputation management crosses into manipulation, and whether reducing the cost of research could change who can afford to run for office.We get into:Dan’s journey from the SEAL teams to the ER to founding Civly.The compliance idea customers didn’t buy—and the research tool that followed.What becomes possible when AI connects scattered public information.How research tools extend beyond political campaigns.The tension between AI visibility, accuracy and influence.Why donor lists and fundraising calls still drive campaign economics.Dan’s case for making political participation less expensive.Daniel “Dan” Barkhuff is founder and CEO of Civly, an AI-powered research and intelligence company. A Naval Academy graduate, former Navy SEAL and Harvard-trained emergency physician, he practices in Vermont and founded Veterans for Responsible Leadership. Civly applies research and monitoring tools to politics, business, athletics and nonprofits.Jason AI Wade of BackTier hosts the AI Visibility Podcast, exploring how AI discovers and describes people and businesses—and what happens when those answers shape real decisions.CivlyMeet Dan and the teamAI Narratives: what AI says about youResearch BooksThe data behind the researchClient case studiesConnect with CivlyGuest: Dan BarkhuffHost: Jason AI WadeExplore
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  Who Gets Chosen? AI, Trust, and the Human Side of Business With Jason Wade, Violeta Shkreli, Porsché Mysticque Steele, Rafael Pinho, and Brett Reasoner 30.09.2026 16p

  Who Gets Chosen? AI, Trust, and the Human Side of BusinessWith Jason Wade, Violeta Shkreli, Porsché Mysticque Steele, Rafael Pinho, and Brett ReasonerVioleta Shkreli — TalentPonds FounderVioleta Shkreli is the founder of TalentPonds and an advocate for fair and equitable hiring. Her platform removes personal identifiers from candidate profiles to help employers evaluate skills and qualifications with fewer opportunities for bias. She brings a hiring perspective to the panel’s discussion of automated screening, access to opportunity, and responsible AI use. She is also a science-fiction author who published under a pen name in 2019.Porsché Mysticque Steele — Publishing Strategist and Book CoachPorsché Mysticque Steele is a publishing strategist, book coach, and TEDx speaker whose background includes freelance editing and ghostwriting. She helps entrepreneurs and experts develop books that communicate their ideas, support their businesses, and create opportunities to speak and teach. In this conversation, she explores the craft of authorship, the importance of human editing, and the personal changes involved in bringing a meaningful book into the world. Professional linksRafael Pinho — Business and Exit AdvisorRafael Pinho, CFA, is co-founder of TD Pine Advisors and the author of From Job to Asset. He helps business owners reduce their companies’ dependence on them, strengthen operations, and prepare for future growth or transition. His perspective combines financial discipline with the practical work of building a business that can operate beyond its founder. TD Pine AdvisorsBrett Reasoner — Real Estate Team LeaderBrett Reasoner is a founding agent at SERHANT. Colorado and leads The Cornerstone Group, a Denver-area real estate team rooted in Christian faith and a people-first approach. A former global talent acquisition executive, he brings experience with relocation and major life transitions to his work with buyers and sellers. His own story of rebuilding after cancer and personal loss informs his approach to relationships, leadership, and personal branding. SERHANT. profileJason Wade: BackTierVioleta Shkreli: TalentPonds on LinkedInPorsché Mysticque Steele: Website, social profiles, books, and speaking resourcesRafael Pinho: TD Pine Advisors · From Job to AssetBrett Reasoner: Agent profile · The Cornerstone GroupBook discussed: How to Hijack Reality by Gianluca GibbonsFurther reading on a topic discussed: U.S. Copyright Office resources on copyright and artificial intelligence
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  The Messy Middle: Scaling a Business When AI Changes the Rules 30.09.2026 10p

  For this episode, the core material is the collision between Tim Campsall’s “Messy Middle” — the point where the business has outgrown the owner — and Rick Tousseyn’s work testing what actually drives visibility in AI search. The transcript also gets into process documentation, zero-click search, podcasts/video as visibility surfaces, AI-generated versus human content, and AI as a thought partner rather than a wholesale replacement for people. Part 1 - Intros & The Messy Mid… Part 1 - Intros & The Messy Mid… Part 1 - Intros & The Messy Mid…Jason Wade is the founder of BackTier, where he works on AI Visibility — the systems that determine whether companies, people and other entities are discovered, understood, cited and surfaced inside AI-generated answers. His work spans Generative Engine Optimization, Answer Engine Optimization, entity clarity, citation infrastructure and the broader transition from traditional search to AI-mediated discovery.Jason also hosts the AI Visibility Podcast, where he talks with researchers, operators, founders and practitioners about how AI is changing discovery, authority, business operations and decision-making. His work is heavily experiment-driven: testing how different platforms, content formats, third-party signals and entity structures affect what systems such as ChatGPT, Claude, Gemini and Perplexity actually retrieve and say.Tim Campsall is a business coach with TBC ActionCOACH of Indiana and describes himself as “The Messy Middle Guy.” His work focuses on established owner-led companies that have reached the stage where continued growth requires the business to become less dependent on the founder.Tim helps owners move knowledge and processes out of their heads, establish clearer systems and accountability, build stronger teams and create companies capable of scaling without requiring the owner to personally solve every problem. His work centers on what he calls the Messy Middle: the transition between successfully building a business and building a business that can operate and grow beyond its founder.Rick Tousseyn is an AI search researcher and SEO/GEO strategist at OtterlyAI. His work focuses on understanding how brands appear across AI search and answer engines and testing the signals, platforms and content strategies that influence AI visibility.Rick runs experiments involving platforms such as LinkedIn and Reddit, video and podcast content, and AI-generated versus human-produced content to understand what actually affects discoverability inside systems including ChatGPT, Google AI Overviews, Claude and Perplexity. His work sits at the intersection of traditional SEO, generative search and the emerging discipline of measuring brand visibility inside AI-generated answers.BackTier — AI Visibility: backtier.comJason Wade / BackTier: About Jason Wade and BackTierTim Campsall: LinkedInTBC ActionCOACH of Indiana: LinkedInRick Tousseyn: LinkedInOtterlyAI: otterly.aiRick Tousseyn at OtterlyAI: Rick’s OtterlyAI articlesThe Tim and Rick bios and links were cross-checked against their current public profiles and OtterlyAI’s site. LinkedIn BackTier’s current site identifies Jason T Wade as its founder and describes the company around AI visibility, entity resolution, GEO and AEO. backtier.comThe Messy Middle: Scaling a Business When AI Changes the RulesShow
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  What Happens When AI Does the Digging? With Dan Barkhuff 29.09.2026 5p

  AI Visibility Podcast · Jason AI Wade × Dan BarkhuffDan Barkhuff went from Navy SEAL to emergency physician to building a company that connects the dots in public data.His company, Civly, started with an unglamorous idea: automate political compliance. When customers showed more interest in what the same tools could uncover, the business moved into research—and beyond politics.Dan joins Jason AI Wade for a conversation about public information, privacy and influence. They explore how AI changes the effort required to investigate someone, what happens when an AI assistant becomes the source people trust, and where useful research meets uncomfortable questions.They also get into the business of campaigning: donor lists, endless fundraising calls, and Dan’s belief that cheaper tools could make running for office accessible to more people.Topics include:From military service and medicine to an AI startup.How Civly’s first product led to a different business.Turning scattered records into a picture of a person or organization.Research applications in business, sports and journalism.AI visibility, reputation management and the potential for misuse.Why campaigns spend so much time raising money.The difference practical AI implementation could make.Daniel “Dan” Barkhuff is founder and CEO of Civly, a research and intelligence company serving political campaigns, businesses, athletic organizations and nonprofits. He is a U.S. Naval Academy graduate, former Navy SEAL and Harvard-trained emergency physician practicing in Vermont. He also founded Veterans for Responsible Leadership.Jason AI Wade of BackTier hosts the AI Visibility Podcast, exploring how AI systems find information, describe businesses and people, and influence the decisions that follow.CivlyDan’s bio and the teamAI NarrativesResearch BooksData CoverageClient Case StudiesContact Civly
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  Public Data. Personal Questions. AI Answers. | Dan Barkhuff of Civly 28.09.2026 5p

  AI Visibility Podcast with Jason AI WadeThe information was already public. Finding it—and figuring out what it meant—was the hard part.Civly founder Dan Barkhuff joins Jason AI Wade to explore how AI is changing that equation. A former Navy SEAL and emergency physician, Dan explains how an idea for automating political compliance turned into a research business serving customers beyond campaigns.The conversation follows the data: from public filings and old posts to donor lists, background research and the answers AI assistants give about people and organizations. Along the way, Jason and Dan discuss privacy, reputation, the potential for manipulation, and what happens when powerful research tools become more affordable.Dan also offers a different angle on money in politics: what if running a campaign simply cost less?Inside the conversation:The founder story: SEAL teams, emergency medicine and Civly.A compliance product that opened the door to research.Public information that becomes more revealing when connected.Applications across business, athletics and journalism.What AI says about you—and efforts to change those answers.Donor data, fundraising calls and campaign costs.Why Dan sees practical implementation as AI’s immediate opportunity.Daniel “Dan” Barkhuff is founder and CEO of Civly, an AI-powered research and intelligence company serving politics, business, athletics and nonprofits. A Naval Academy graduate and former Navy SEAL, he studied medicine at Harvard and practices emergency medicine in Vermont. He also founded Veterans for Responsible Leadership.Jason AI Wade of BackTier hosts the AI Visibility Podcast, exploring how AI shapes discovery, reputation and the information people use to make decisions.Explore CivlyMeet Dan and the teamAI NarrativesResearch BooksData CoverageClient Case StudiesContact Civly
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  A “No” Is Still Data: Will Hamblin on Building the AI CRM for Field Sales 28.09.2026 8p

  Field sales creates useful intelligence all day long.Most CRM systems capture almost none of it.Will Hamblin discovered that firsthand after leaving a twelve-year career in education and moving into door-to-door card-payment sales. He could visit a business, learn who handled its payments, discover when the current contract expired, hear exactly why the owner was not interested—and then watch most of that information disappear into a notebook, spreadsheet, or memory.So he started building FieldSpot.ai.In this episode of the AI Visibility Podcast, Jason T Wade talks with Will about designing an AI-powered sales platform around what actually happens in the field.FieldSpot combines territory mapping, route planning, renewal intelligence, competitor tracking, voice notes, business-card capture, and AI-assisted outreach. The objective is not simply to store contacts. It is to preserve the context surrounding every real-world sales interaction and make that information useful later.A central idea in the conversation is that a failed visit may be one of the most valuable interactions in the sales process.A business owner who says “not interested” may also tell you which competitor they use, when their agreement expires, who controls the decision, and exactly when to come back. Captured properly, that rejection becomes future sales intelligence.Will and Jason also discuss the connection between AI and data quality. AI can only personalize outreach based on what it knows. Field notes, territory history, competitor information, renewal timing, and previous conversations can give an AI system far more useful context than a conventional contact record.They also examine a counterintuitive possibility: AI may increase the value of human, face-to-face selling. As inboxes and digital channels become crowded with automated messages, an actual person walking through the door may become more distinctive.Will also explains how he went from having no traditional software-development background to vibe coding the first FieldSpot prototype, validating the concept, bringing experienced developers into the company, and expanding beyond the UK payments sector where the idea started.Why conventional CRMs miss field-sales intelligenceWhy a rejection can become a future sales opportunityCompetitor and renewal-date trackingTerritory intelligence and route planningCapturing information without slowing down the salespersonVoice notes, business cards, and mobile data collectionUsing field context to improve AI-generated outreachWhy AI output is constrained by the data underneath itVibe coding a working software prototypeBuilding a technology startup as a nontechnical founderRecruiting technical partners through equityThe limits of automated outbound salesWhy physical sales interactions may become more valuableTaking FieldSpot into new industries and marketsThe future of AI-assisted field salesWill Hamblin is the founder of FieldSpot.ai, an AI-powered field-sales CRM and intelligence platform.Before building FieldSpot, Will spent twelve years in education and became a vice principal. He later entered field sales, selling card-payment services directly to businesses.Will used AI tools and vibe coding to build the first FieldSpot prototype, then brought experienced technical partners into the company to develop the platform into a production product.FieldSpot is built around territory intelligence, renewal timing, competitor tracking, mapping, route planning, mobile data capture, and AI-assisted sales workflows.Jason T Wade is an AI Visibility Architect and founder of NinjaAI and BackTier.FieldSpot.aihttps://fieldspot.aiWill Hamblin on LinkedInhttps://www.linkedin.com/in/will-hamblin-182a1064/Jason T Wadehttps://jasonwade.comNinjaAIhttps://ninjaai.comBackTierhttps://backtier.com
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  The Data Your CRM Never Sees: Will Hamblin on AI, Field Sales & FieldSpot.ai 27.09.2026 6p

  Most CRM software assumes selling happens from a desk.Will Hamblin built FieldSpot.ai because his sales job did not.After twelve years in education, including time as a vice principal, Will moved into door-to-door card-payment sales. In the field, he saw the same problem repeatedly: salespeople were learning valuable things every day—who a business used, when its contract renewed, who made the decision, why they said no—but most of that intelligence ended up in notebooks, spreadsheets, or someone’s memory.In this episode of the AI Visibility Podcast, Jason T Wade talks with Will about turning those fragmented real-world signals into structured data that AI can actually use.FieldSpot.ai combines territory intelligence, mapping, route planning, renewal tracking, competitor data, voice notes, business-card capture, and AI-assisted outreach into a CRM designed specifically around field sales.A major idea in the conversation is deceptively simple: a “no” is still data.A prospect who rejects you today may tell you exactly when to return, which competitor you need to beat, and what will matter when the contract comes up for renewal. The problem is not collecting more leads. It is preserving the context surrounding every interaction and making it available at the right moment.Will and Jason also discuss why AI quality depends on data quality. Generic data produces generic automation. But when AI has access to actual notes from the field, account history, timing, competitor information, and local context, outreach can become significantly more relevant.They also explore a potential irony of the AI era: as digital channels fill with automated outreach, showing up in person may become more valuable, not less.Will also explains how he built FieldSpot’s first prototype without being a developer, used AI and vibe coding to prove the concept, recruited experienced technical partners, and started taking the product beyond its original UK payments market.Topics include:Why traditional CRMs break down in field salesCapturing intelligence from unsuccessful sales visitsRenewal dates as a sales signalCompetitor tracking in the real worldTerritory mapping and route optimizationVoice notes and frictionless data captureTurning field notes into personalized AI outreachWhy AI is only as useful as the data underneath itVibe coding a startup prototype without being a developerRecruiting technical partners through equityWhy face-to-face sales could become more valuable in an AI-saturated marketDesigning software around how salespeople actually workExpanding a field-sales platform internationallyWhere AI-powered field sales goes nextWill Hamblin is the founder of FieldSpot.ai, an AI-powered CRM and field-sales intelligence platform designed for teams that sell in person.Before starting FieldSpot, Will spent twelve years in education and became a vice principal before moving into field sales, where he sold card-payment services directly to businesses.That experience exposed how much useful sales intelligence was being lost between visits. Will built the first FieldSpot prototype using AI tools and vibe coding, then brought in experienced technical partners to develop the platform further.FieldSpot focuses on territory intelligence, renewal tracking, competitor data, route planning, mobile data capture, and AI-assisted sales workflows.Jason T Wade is an AI Visibility Architect and founder of NinjaAI and BackTier.Jason is also the host of the AI Visibility Podcast, where he examines how AI search, recommendation systems, autonomous agents, and emerging interfaces are changing how businesses and information get discovered.FieldSpot.aihttps://fieldspot.aiWill Hamblin on LinkedInhttps://www.linkedin.com/in/will-hamblin-182a1064/Jason T Wadehttps://jasonwade.comNinjaAIhttps://ninjaai.comBackTierhttps://backtier.com
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  Why Field Sales Needs Better Data: Will Hamblin on Building FieldSpot.ai 26.09.2026 21p

  Why Field Sales Needs Better Data: Will Hamblin on Building FieldSpot.aiWill Hamblin went from vice principal to door-to-door card terminal sales—and eventually built the software he wished he had while working in the field.In this episode of the AI Visibility Podcast, Jason T Wade talks with Will about what traditional CRM systems miss when sales happens face-to-face rather than behind a desk.FieldSpot.ai started as a simple AI-assisted prototype and evolved into a field-sales intelligence platform built around territory mapping, renewal timing, competitor intelligence, route planning, voice notes, business-card capture, and AI-assisted outreach.One of the central ideas is that field sales creates valuable data constantly, but much of it disappears. A rejection today may contain the information needed to close the account six months from now: the incumbent provider, contract expiration date, decision-maker, or reason the prospect was not ready.Will explains how FieldSpot captures that context and turns it into usable intelligence for future visits and outreach.Jason and Will also discuss the relationship between data quality and AI output. AI can generate better follow-up and more relevant outreach when it has access to actual field notes, conversations, territory information, and account history instead of generic CRM records.They also explore whether face-to-face selling could become more valuable as email, LinkedIn, and other digital channels become increasingly saturated with automated AI outreach.Will shares how he built FieldSpot's first prototype without being a developer, used AI and vibe coding to turn an idea into something tangible, found technical partners willing to join the company for equity, and began expanding the platform beyond its original UK payments market.Topics include:Why traditional CRMs often fail field-sales teamsTurning rejected visits into future sales intelligenceRenewal dates and competitor contract trackingTerritory mapping and route planningVoice notes and automatic field-data captureAI-assisted personalized outreachBuilding a startup through vibe codingWhy better data produces better AI outputThe growing value of face-to-face salesDesigning software around actual field conditionsBuilding a technology company as a nontechnical founderExpanding FieldSpot internationallyThe future of AI-powered field salesWill Hamblin is the founder of FieldSpot.ai, an AI-powered CRM and field-sales intelligence platform built for teams that sell in person.Before founding FieldSpot, Will spent twelve years in education, eventually becoming a vice principal. He later moved into field sales, selling card-payment services directly to businesses.That experience exposed a gap in traditional sales software. Field agents were still relying heavily on spreadsheets, notebooks, memory, and manual route planning, while valuable information about competitors, conversations, territories, and renewal dates was frequently lost.Will built the first FieldSpot prototype using AI tools before bringing in experienced developers to develop the platform further.Jason T Wade is an AI Visibility Architect and founder of NinjaAI and BackTier.His work focuses on how AI systems discover, understand, classify, cite, include, and recommend people, companies, products, and ideas.He works across AI SEO, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), entity architecture, structured data, and AI discovery systems.Jason hosts the AI Visibility Podcast, exploring how AI search, recommendation systems, autonomous agents, and emerging interfaces are changing discovery, business, and the web.FieldSpot.aihttps://fieldspot.aiWill Hamblin on LinkedInhttps://www.linkedin.com/in/will-hamblin-182a1064/Jason T Wadehttps://jasonwade.comNinjaAIhttps://ninjaai.comBackTierhttps://backtier.com
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  How I Used GPT, Claude + Lovable to Build Halden 25.09.2026 2p

  How I Used GPT, Claude + Lovable to Build HaldenThis is the process behind my Lovable Built It for Small Business Challenge entry.I didn’t start with:“Build me a detailing website.”I started with the actual challenge brief, the business problem, and the experience I wanted to create.I pasted the requirements into GPT, developed the concept, refined the copy and customer flow, and then moved the build into Lovable.From there, the process became a constant loop.Build → inspect → copy the site back into GPT or Claude → critique it → improve the prompt → rebuild.I would often copy nearly every word from the site back into the models and ask what was missing, confusing, inconsistent, or not aligned with the original vision.I also researched what other service businesses and software companies were doing — current customer experiences, automation, checkout patterns, and where agentic commerce appears to be heading — and brought those ideas back into the project.That research helped push Halden beyond a normal appointment website into something designed for both people and AI assistants.The biggest lesson from the process:Don’t stop when the build works. Analyze it again.Even after the product looks finished, run it back through the models, test the assumptions, refine the experience, and keep iterating.That back-and-forth between human direction, AI analysis, research, and Lovable implementation is how I built Halden.Halden Detail Co. was built in Lovable for the Built It for Small Business Challenge.The challenge is centered on reducing the friction between an inbound customer inquiry and a confirmed appointment.Halden handles that booking process while also exploring what happens when an AI assistant becomes another interface into the same business.@Lovable · #LovableChallengeJason T Wade is the founder of BackTier and works on AI Visibility, Generative Engine Optimization, Answer Engine Optimization, entity architecture, and emerging agentic experiences.His work focuses on how businesses can become easier for AI systems to discover, understand, recommend, and interact with.Halden / Lovable Buildhttps://winnerjasonwade.lovable.appLovablehttps://lovable.devJason T Wadehttps://jasonwade.comBackTierhttps://[email protected]
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  I Built an AI-Bookable Car Detailing Business in Lovable 25.09.2026 2p

  What happens when you design a small-business website not just for humans, but for AI agents?For the Lovable Built It for Small Business Challenge, I created Halden Detail Co., a fictional mobile detailing company in Scottsdale built around one problem: eliminate the manual work between a customer asking, “Can I book?” and receiving a confirmed appointment.Customers can choose a vehicle, select a detailing package, see the exact price and duration, view available appointment slots, pay a deposit, and complete the booking without waiting for the owner to respond.The system also handles the operational side: cancellations, waitlist recovery, scheduling, customer communication, and an owner dashboard.But the core experiment goes further.Halden is designed for agentic commerce.Instead of requiring an AI assistant to read a website and guess what is available, the business exposes structured capabilities for service discovery, quoting, availability, booking, and booking status.That means a customer can eventually tell an AI assistant:“Book my Escalade for a detail Friday afternoon.”The assistant can retrieve the real service, real price, real availability, and create the booking directly.One business. One pricing system. One calendar.Two interfaces: human and machine.This prototype was created in Lovable for the Lovable Built It for Small Business Challenge.The challenge brief was to redesign the moment an inbound customer inquiry becomes a confirmed booking while reducing as much manual work for the business owner as possible.Halden addresses both sides:Front door: customers can quote, schedule, and book without back-and-forth.Follow-through: deposits, scheduling, cancellation recovery, customer status, and owner operations are handled inside the system.The additional experiment is making those same capabilities accessible to AI assistants so the booking experience can evolve from traditional checkout toward agentic commerce.#LovableChallenge · @LovableJason T Wade is an AI Visibility Architect and founder of BackTier. He works on AI discovery, entity architecture, Generative Engine Optimization, Answer Engine Optimization, and the infrastructure that allows AI systems to accurately discover, understand, cite, recommend, and increasingly transact with businesses.His work focuses on the transition from websites built primarily for human search and browsing toward systems that also expose structured information and capabilities directly to AI agents.Haldenhttps://id-preview--c3d214a4-07cd-4ac6-9ada-8c56c2d864bc.lovable.app/Customer Bookinghttps://id-preview--c3d214a4-07cd-4ac6-9ada-8c56c2d864bc.lovable.app/bookText Bookinghttps://id-preview--c3d214a4-07cd-4ac6-9ada-8c56c2d864bc.lovable.app/textAutopilothttps://id-preview--c3d214a4-07cd-4ac6-9ada-8c56c2d864bc.lovable.app/autopilotOwner / Adminhttps://id-preview--c3d214a4-07cd-4ac6-9ada-8c56c2d864bc.lovable.app/adminThe Onehttps://id-preview--c3d214a4-07cd-4ac6-9ada-8c56c2d864bc.lovable.app/one-of-oneLovablehttps://lovable.devBackTierhttps://backtier.comJason T Wadehttps://jasontwade.comFor the contest submission itself, I’d use “From ‘Can I Book?’ to ‘You’re Booked’ — With AI Agents” because it mirrors their brief while immediately exposing your differentiator.
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  Jack Oujo — From Minor League Baseball to Financial Peace of Mind 25.09.2026 32p

  Jack Oujo — From Minor League Baseball to Financial Peace of MindComplete show notes from the transcript, including the episode description, chapters, takeaways, quotes, clip ideas, and follow-ups. Timestamps are approximate and should be checked against the final edit.Episode descriptionWhat happens when the career you built your identity around ends at 30—with no money and a baby on the way?Jack Oujo joins Jason Wade on BackTier to discuss his transition from professional baseball umpire to building a tax-focused wealth management business, which he later sold to two employees. His story connects career reinvention, a supportive marriage, calculated risk, and the question he says sits behind almost every retirement conversation: “Am I gonna be okay?”Jack explains why financial advice is fundamentally coaching, why a useful plan considers difficult markets, and why success involves more than accumulating money. The conversation also covers his daily use of AI to develop speaking material from his memoir, the limits of automated podcast editing, and how technology can free people to pursue more meaningful work.The episode closes with personal observations about entrepreneurship, travel, and economic opportunity.Guest backgroundAs described by Jack in the conversation:Spent eight years in professional baseball as an umpire before being released at 30.Started a business with a partner using credit cards for financing.Built an accounting practice that evolved into tax-focused wealth management.Eventually focused on clients who used the firm for wealth management.Sold the business to two employees, effective January 1; the year is not specified in the transcript.Wrote a memoir and began appearing on podcasts to promote it.Is developing corporate speaking engagements around reinvention, resilience, and lessons from his career.Uses AI daily, including to extract stories and lessons from his book.Says he is 68 and lives in Fort Lauderdale.His book title, business name, website, and preferred contact links are not supplied in the transcript.
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  AI for Community Organizing: Research Faster, Build Tools, and Get People Moving 24.09.2026 2p

  In this solo episode of the AI Visibility Podcast, Jason T Wade looks at a more practical use case: using AI as infrastructure for community organizing.The idea came from preparing for an upcoming event and from a local cemetery issue that affected Jason’s family. Instead of stopping at complaints, he used AI to pull together city budgets, reports, state information, and other public records, then combined that research with old-fashioned fieldwork: visiting the cemetery and talking directly with the people involved.Jason then walks through a simple toolkit for civic and community projects: research with Perplexity, analysis and presentations with Claude and Gamma, rapid websites and forms with Lovable or Base44, drafting press materials with ChatGPT or Claude, and organizing public events or petitions through platforms such as Meetup, Eventbrite, and Change.org. Topics- AI for community organizing- Researching public records and local issues- Combining AI research with in-person fact finding- Using agents for rapid research and communications- Building forms and civic tools without traditional development- Creating presentations and public information- Press releases and outreach- Organizing events and petitions- Turning complaints into documented action- Why AI should augment—not replace—real community engagementAbout Jason T WadeJason T Wade is an AI Visibility Architect and founder of BackTier.His work focuses on how AI systems discover, understand, classify, cite, include, and recommend people, companies, products, and ideas.Jason hosts the AI Visibility Podcast where he explores AI search, agents, emerging interfaces, and practical ways people and organizations can use AI systems.LinksJason Wadehttps://jasonwade.comBackTierhttps://backtier.comPerplexity — research and cited web answers https://www.perplexity.aiClaude — research, writing, analysis and creationhttps://claude.comGammahttps://gamma.appLovablehttps://lovable.devBase44 — AI application builder https://base44.comMeetuphttps://www.meetup.comEventbritehttps://www.eventbrite.comChange.org — petition and community-action platform https://www.change.org#backtier
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  AI Agents Are Exploding — Use Them Before the Free Ride Ends 24.09.2026 2p

  AI agents sound complicated until you realize what they actually do: they take the next step for you.In this episode of the AI Visibility Podcast, Jason T Wade breaks down why 2026 is becoming the year agents move from interesting experiments into practical everyday tools. From Meta’s Muse and Grok to Base44, Lovable, Cursor, Alexa+, and Copilot, the major platforms are rapidly expanding what autonomous AI systems can accomplish.Jason explains the simplest way he has found to start using agents: whenever you catch yourself doing something in ChatGPT and thinking, “I never want to do this manually again,” turn that workflow into an agent prompt.He also discusses why now is an unusually good time to experiment. New AI products are frequently being offered free or heavily subsidized while companies learn how people use them, making this a window to test multiple systems against the same task and understand where each one performs differently.The conversation also moves into agentic commerce. Amazon Alexa+ is emerging as an important interface for AI-driven shopping, where consumers can increasingly describe what they want conversationally instead of searching through product listings manually.The larger point is simple: agents are no longer just developer tools. They can work across inboxes, connectors, research, lead generation, data gathering, shopping, and repetitive workflows. The best way to understand them is not to study them endlessly. Give them real work.Topics include:AI agents and autonomous workflowsMeta Muse, Grok, Base44, Lovable and CursorTurning repetitive ChatGPT work into agent promptsTesting the same task across multiple AI enginesWhy new AI platforms are temporarily giving away significant capabilityAlexa+ and the rise of agentic shoppingCopilot and Amazon’s position in AI commerceEmail, connectors, lead research and data gatheringWhy agents are easier to use than most people assumeThe transition from chatting with AI to delegating work to AIJason T Wade is an AI Visibility Architect and founder of NinjaAI and BackTier. He works at the intersection of search, generative AI, entity architecture, AI SEO, Generative Engine Optimization and Answer Engine Optimization.His work focuses on how AI systems discover, understand, classify, cite, include and recommend people, companies, products and ideas.Jason also hosts the AI Visibility Podcast, where he examines how AI search, recommendation systems, autonomous agents and emerging interfaces are changing discovery, commerce and the web.Jason T Wadejasonwade.comNinjaAIninjaai.comBackTierbacktier.comAI Visibility PodcastAvailable on Spotify and major podcast platformsJason T Wade BioLinks
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  Technology Stress Is Not a Technology-Ability Problem 23.09.2026 2p

  Eighty-two percent of this show's audience is 45 or older — so this one is for you, and for everyone who loves someone in that group.There's a moment that repeats in millions of households. A login fails. An update moves a button. And within ninety seconds it stops being a technology problem and becomes a fight.This episode makes one argument: that escalation isn't evidence of low technology ability. It's a stress response. And once you treat it as one, it mostly stops happening.What's covered:Why usage and confidence are two different things — 34% of older internet users report little or no confidence with electronic devices (Pew)Why needing setup help is the median experience, not a deficiency — 48% of seniors say they usually need someone to show them a new device (Pew)The study of 630 adults ages 18–68 that found anger, resignation, and venting across the entire adult range (Heliyon) — this isn't generationalDigital stress as a measurable, rising condition: 9% to 20% of employees over one study period (JMIR)Why more instructions make it worse: working memory narrows under stress, so the first job is never the screenThe STOP–BREATHE–LOOK reset, step by stepThe two-sentence family rule: I will help. I will not be yelled at. — and what each side actually commits toThe line that ends the episode: the goal is not zero frustration, the goal is zero abuse during frustrationSources: Pew Research Center, Tech Adoption Climbs Among Older Adults; Heliyon, end-user frustrations and failures in digital technology; Journal of Medical Internet Research, impact of digital stress on negative emotions and physical complaints.Note: statistics provide context. They don't diagnose anyone, and they don't excuse yelling. If there's chest pain, severe shortness of breath, or you feel medically unwell — that's not technology stress. Address the health concern first.BioJason T Wade is an AI Visibility architect and the founder of BackTier, where he works on how AI systems discover, classify, cite, and recommend people and organizations. He's the author of AI Visibility: How to Win in the Age of Search, Chat & Smart Customers and the host of the AI Visibility Podcast. He's based in Lake Wales, FL and Orlando, Florida.
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  When AI Gets You Wrong: Identity, Ambiguity & Who Controls the Answer 23.09.2026 11p

  What happens when AI knows your name—but doesn't actually know who you are?In this roundtable episode of the AI Visibility Podcast, Jason T Wade is joined by Jason Barnard, Jodi Koch, and Su Belagodu for a wide-ranging conversation about identity, ambiguity, trust, human judgment, and the growing influence of AI recommendations.Jason Barnard starts with one of the fundamental problems of AI visibility: entity ambiguity. People share names, companies have inconsistent descriptions, and AI systems have to decide which facts belong to which entity. Su shares her own example of AI incorrectly attributing a Dubai speaking appearance to her because it confused her with another person working in AI governance. Roundtable on AI, Identity, and Ambiguity.docxDOCX Roundtable on AI, Identity, and Ambiguity.docxDOCXThe discussion moves into a larger question: if Google once gave users ten links to evaluate, what changes when an AI system increasingly makes the recommendation itself?Jason Barnard argues that businesses need to deliberately educate AI systems about who they are, what they do, and who they serve. Su adds an important counterpoint: AI outputs remain probabilistic, and human judgment still matters—especially when agents and automated systems begin making decisions at scale. Roundtable on AI, Identity, and Ambiguity.docxDOCXJodi brings the conversation into the physical world. As an interior designer with more than two decades of experience, she uses AI to rapidly visualize ideas with clients—but points out that an AI-generated room can still ignore structural reality. The technology can accelerate the process, but it does not replace the experience required to know whether the proposed design actually works. Roundtable on AI, Identity, and Ambiguity.docxDOCXA recurring theme emerges: AI visibility begins with being correctly understood. If a machine cannot reliably resolve who you are, it cannot reliably evaluate, recommend, or select you.Name and entity ambiguityWhat AI gets right—and wrong—about peopleCorrecting machine-generated identity errorsDigital consistency and corroborating sourcesAI as recommender instead of search engineProbabilistic AI outputsHuman-in-the-loop systemsAI agents and automationUsing AI in interior designTrusting versus verifying AI outputPersonal brands and company brandsControlling how AI understands an entityWhy human expertise becomes more important alongside AIJason Barnard is founder and CEO of Kalicube, a digital brand engineering company focused on helping people and companies control how Google and AI systems understand and represent them. His work spans entity identity, Knowledge Panels, digital brand intelligence, and AI-era recommendation systems. Kalicube - Digital Brand EngineersJodi Koch is the founder of Elizabeth Erin Designs and host of the Designing in 5D podcast. A nationally recognized interior designer with more than two decades of experience, she works with homeowners, investors, and hospitality clients using her Designing in 5D process. Elizabeth Erin DesignsSu Belagodu is an AI adoption and executive advisor and creator of the HITL Maturity Model™. Her work focuses on designing AI systems with meaningful human oversight, helping organizations move AI projects into production, and determining where humans need to remain in the loop. SublagoduJason T Wade is an AI Visibility Architect and founder of BackTier. His work focuses on how AI systems discover, resolve, understand, cite, include, and recommend people, companies, products, and ideas. He is the host of the AI Visibility Podcast. Jason AI WadeJason Barnard / KalicubeKalicube.comJason Barnard BioJodi Koch / Elizabeth Erin DesignsElizabeth Erin DesignsDesigning in 5D PodcastSu BelagoduSuBelagodu.meSu Belagodu on LinkedInJason T WadeJasonWade.comBackTier
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  The Knowledge Graph 22.09.2026 1p

  The Knowledge Graph