AI Visibility Podcast with Jason Ai Wade of BackTier

Jason Ai Wade
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AI Visibility Podcast by Jason Ai 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. 3h ago

    Political Day After — 19-to-1, $0.21 Per Vote, and the Power of Visibility -Jason AI Wade | BackTier

    AI Visibility: Political Day After — 19-to-1, $0.21 Per Vote, and the Power of Visibility Host: Jason AI Wade | AI Visibility Podcast | BackTier What happens when a political challenger raises just one-nineteenth of the incumbent's campaign contributions and finishes within 2,282 votes of winning? In this election-day follow-up, Jason AI Wade discusses his behind-the-scenes involvement in Alethea Pugh's 2026 campaign for Florida House District 48 in Polk County, Florida. The incumbent, Republican Jon Albert, received 51.71% of the vote, while Democratic challenger Alethea Pugh received 48.29%, according to unofficial election-night results. The financial disparity was substantial. An October 13 report by The Ledger identified $132,615 in contributions to Albert compared with $6,894 to Pugh—a ratio of approximately 19.2 to 1. That translates to approximately $3.85 raised per vote for Albert versus $0.21 for Pugh, using those contribution snapshots and unofficial vote totals. Jason discusses his involvement in campaign research, media outreach planning, messaging, visibility, and the challenge of helping a candidate with limited financial resources and a publicly scrutinized past. The episode also explores how artificial intelligence, strategic communications, local relationships, and organized outreach might change the economics of political campaigns. 19-to-1 fundraising disparity: How two campaigns with dramatically different financial resources finished just 3.42 percentage points apart. The $0.21-per-vote calculation: What contribution dollars per vote reveal—and why they are not the same as actual campaign expenditures per vote. AI and political visibility: The potential applications of AI-assisted research, media intelligence, candidate discoverability, and communications systems. Media outreach and message control: Jason's experience helping organize research, outreach, and campaign communications. Reputation and accountability: Addressing documented historical controversies through factual communication rather than evasion. Political conditions: How a favorable broader election environment may have influenced the district result. Campaign consulting: Lessons Jason intends to apply to future political research and visibility engagements. Election margin: 2,282 votes, or approximately 3.42 percentage points. Important distinction: The fundraising numbers represent contributions reported as of October 13, not verified final expenditures. The election results do not establish that any specific consulting activity caused the outcome. Jason AI Wade is the founder of BackTier, an AI visibility architect, author of AI Visibility: How to Win in the Age of Search, Chat & Smart Customers, and host of the AI Visibility Podcast. His work focuses on AI Visibility, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), entity resolution, machine understanding, and strategies that help organizations become more discoverable, credible, and accurately represented across AI-powered systems. His work also includes research, communications strategy, and AI-assisted organizational systems. Election and reporting Florida Division of Elections — https://electionwatchfl.com/ The Ledger's October 13 candidate profile — https://www.theledger.com/story/news/politics/elections/2026/10/13/jon-albert-faces-alethea-pugh-florida-house-48-election-polk-county/92169249007/ OpenSecrets — https://www.opensecrets.org/ Jason AI Wade Website: https://JasonWade.com BackTier: https://BackTier.com Email: email@jasonwade.com A 19-to-1 fundraising disparity and a 3.42-point election margin create an important case for studying political communications, resource allocation, voter engagement, and campaign economics.

  2. 5h ago

    30 Years of the Web: From Googlebot to AI Agents Who Is Reading Your Website Now—and What Are They Doing With It?

    30 Years of the Web: From Googlebot to AI Agents Who Is Reading Your Website Now—and What Are They Doing With It? For roughly 30 years, businesses have built websites primarily for two audiences: human visitors and search engine crawlers. Googlebot visited pages, followed links, indexed content, and helped determine what appeared in search results. Website owners used robots.txt, XML sitemaps, metadata, and SEO to influence how their content was discovered and processed. The arrangement was relatively straightforward. But the web is changing. Today, websites may be accessed by traditional search crawlers, AI training crawlers, AI search retrieval systems, automated browsers, and increasingly autonomous agents operating on behalf of users. Some are collecting information. Others are retrieving answers. Some are navigating interfaces, filling forms, comparing services, or attempting to complete tasks. The website is no longer just a destination. It's becoming an information source and an operating environment for machines. In this episode of POD, we examine how web crawling evolved, what AI crawlers and agents actually do, and why businesses need to rethink how their websites are discovered, understood, and used. 30 Years of Web Crawling: From early search engines and Googlebot to modern AI retrieval and autonomous agents. How Googlebot Works: Crawling, rendering, indexing, and the relationship between search engines and websites. Robots.txt: What the Robots Exclusion Protocol does, what it doesn't do, and why it isn't a security mechanism. The AI Crawler Explosion: How AI companies use different crawlers for training, search, retrieval, and other purposes. Grok and xAI: How Grok-related systems fit into the changing ecosystem of AI discovery. AI Browsers and Superagents: Why automated systems increasingly interact with websites rather than simply reading pages. The New Website Builders: How AI-powered development platforms such as Base44 change the speed and accessibility of website creation. Agent-Ready Websites: What businesses need to consider when software becomes a website visitor and potential customer representative. Who Controls Access? The emerging tension between open discovery, content licensing, crawler permissions, and machine access. Traditional crawlers primarily discover and collect web content. AI retrieval systems may access content to answer a specific question. AI agents go further. Depending on their tools and permissions, they may navigate websites, interact with forms, compare products, schedule services, or initiate transactions. These systems should not all be treated as interchangeable. A crawler that gathers content for model training has a different purpose from an agent acting on a customer's explicit instructions. And a website that allows crawling does not automatically authorize every possible automated action. For decades, robots.txt has provided a standardized way for website operators to communicate crawling preferences. But robots.txt is not authentication, access control, or a guarantee that every automated system will comply. Modern website operators need to distinguish between search indexing, AI training, live retrieval, and interactive agent access. Blocking everything may reduce unwanted collection but can also interfere with legitimate discovery. Allowing everything may improve accessibility while increasing exposure to unwanted automated activity. The right policy depends on the business, the content, and the purpose of the automated visitor. Businesses increasingly need websites that are: Discoverable: Important information can be found by appropriate crawlers and retrieval systems. Intelligible: Services, products, identities, and relationships are understandable to machines. Accessible: Pages and interactions use reliable, standards-based interfaces. Actionable: Authorized agents can complete supported tasks.

  3. 22h ago

    AI for Everyone: Building, Creating, and Learning with AI

    AI for Everyone: Building, Creating, and Learning with AI AI Visibility Podcast | November 3, 2026Host: Jason AI Wade | Presented by: BackTier Artificial intelligence is making it easier than ever to build businesses, develop software, create content, and turn ideas into reality. But does easier technology automatically produce better results? Jason AI Wade welcomes Mike Turner and David Raine for a free-flowing conversation about entrepreneurship, creativity, AI tools, robotics, and the importance of actually building things rather than just talking about them. Mike Turner — Founder, AlamoTech Marine Corps veteran, technology entrepreneur, and fractional CTO helping small businesses adopt AI, improve IT infrastructure, and develop practical technology solutions. Mike also hosts I'm Up! He Sees Me, I'm Down!, a podcast about leadership, resilience, and personal growth. Website: https://alamotechllc.com David Raine — Software Developer, Robotics Developer, and Author Software developer and science-fiction author exploring AI, robotics, automation, and digital creativity. David discusses MIM, his experimental learning-oriented AI project, and how emerging technology is changing what individuals can create. AI for small businesses: How AI makes sophisticated software and automation accessible to smaller organizations. Just build it: Why experimenting, publishing, and learning matter more than perfection. AI and creativity: Music generation, writing, video, and whether technology changes the meaning of artistic work. Authenticity in the AI era: Voice cloning, synthetic media, and preserving genuine human connections. AI meets robotics: The challenges of connecting intelligent software with physical machines. The creator economy: Podcasting, audience growth, social media metrics, and creating for the right reasons. ChatGPT, ElevenLabs, Descript, Riverside, Suno, Google Analytics, AI avatars, and emerging robotics technologies. AI is expanding what individuals and small businesses can accomplish, but the technology alone doesn't create success. Experimentation, persistence, sound judgment, and the willingness to put real work into the world still matter. Jason AI Wade is the founder of BackTier, an AI visibility architect, author of AI Visibility: How to Win in the Age of Search, Chat & Smart Customers, and host of the AI Visibility Podcast. His work explores how AI systems discover, understand, cite, and recommend people and businesses. JasonWade.com: https://jasonwade.comBackTier: https://backtier.com AI Visibility Podcast | AI for Everyone — November 2026 Meet the GuestsIn This EpisodeTools DiscussedKey TakeawayAbout the Host

  4. 1d ago

    Lake Wales vs. Lake Wailes: One Letter, Local History, and AI

    Lake Wales vs. Lake Wailes: One Letter, Local History, and AI AI Visibility Podcast with Jason T AI Wade The city lost the “i.” The lake kept it. Explaining exactly how that happened takes us into Florida land development, railroad signs, competing historical accounts, and the future of how AI tells our stories. In this episode, Jason T AI Wade explores the naming history of Lake Wales and Lake Wailes—and why the unresolved details matter. National Register documentation credits government surveyor J. W. Childs with naming the lake for S. I. Wailes in 1879. The town followed decades later, shaped by timber, turpentine, land sales, and railroad access. The missing letter has a less settled explanation. A 1997 historic-district nomination attributes the shortened spelling on a 1913 depot sign to a suggestion by G. V. Tillman. An earlier National Register document says the reason for the spelling change is unknown—and identifies the business formed in 1911 as the Lake Wales Land Company. The depot story therefore leaves an important question open: when did the shorter spelling actually begin? That uncertainty becomes the starting point for a larger discussion about artificial intelligence, business identity, and who controls the public record. When sources disagree, will an AI explain the disagreement or produce a smoother story than the evidence supports? In this episode: The surveyor and state agent behind the lake’s documented name. How commercial development and railroad access helped establish the town. The 1913 depot-sign account and the gap it leaves. Why removing the “i” today would require a formal geographic-name proposal. How AI can confuse similar names, merge separate entities, or flatten historical uncertainty. What businesses can learn about rebrands, outdated listings, conflicting descriptions, and evidence. A proposed experiment: ask multiple AI systems the same local-history questions and compare their sources and answers. Could the lake’s spelling change? USGS allows proposals to change an existing geographic name or spelling, but requires a compelling reason and evidence of support. Local use and acceptance are its most important consideration. A one-letter edit is possible; approval is a separate question. Research note: This episode examines conflicting historical accounts and proposes an AI comparison. It does not report a completed comparative test or establish that AI systems consistently confuse the two places. Sources and further reading: Lake Wales Historic Residential District nomination, 1997 Lake Wales Multiple Property Listing, 1990 USGS guidance on geographic-name proposals Domestic Names Committee proposal-process flowchart Connect: JasonWade.com · BackTier.com Have an early map, company document, newspaper clipping, or depot photograph showing either spelling? Share the source and its date. Help document where the story changes.

  5. 1d ago

    The Corner Challenge: $1,750 in Prizes to Reimagine Downtown Lake Wales AI Visibility Podcast | Hosted by Jason AI Wade, Founder BackTier - Your Town. Your Corner. Your Idea.

    The Corner Challenge: $1,750 in Prizes to Reimagine Downtown Lake Wales AI Visibility Podcast | Hosted by Jason AI Wade Your Town. Your Corner. Your Idea. What would you do with a downtown property if you had the chance to pitch your vision to local business, government, and real estate leaders? On January 13, 2027, Lake Wales Startup Night presents The Corner Challenge, a community entrepreneurship competition focused on new possibilities for 124 East Orange Avenue in downtown Lake Wales. Students, entrepreneurs, business owners, artists, and residents are invited to imagine what could work at The Corner, explain how their idea would benefit the community, and compete for a proposed $1,750 in prizes. In this episode, Jason AI Wade explains why The Corner Challenge is about more than a single downtown property. It's an experiment in grassroots economic development, youth entrepreneurship, adaptive reuse, and giving residents a meaningful voice in the future of their community. The Corner Challenge: Why Lake Wales Startup Night is organizing a competition around a real downtown location. The $1,750 Prize Pool: Proposed awards of $1,000 for first place, $500 for second, and $250 for third. Two Competition Divisions: A Youth Division for K–12 students and an Open Division for adults and entrepreneurs. Five Invited Community Leaders: Perspectives from business, local government, commercial real estate, development and construction, and entrepreneurship. Three Minutes to Pitch: How participants can explain their concepts without a formal business plan or elaborate presentation. What Downtown Needs: Ideas ranging from specialty food businesses and youth activities to creative spaces, coworking, entertainment, and shared retail. From Ideas to Opportunities: How community feedback, feasibility, partnerships, and local investment can help develop stronger business concepts. Why Young People Matter: Giving students opportunities to participate in entrepreneurship and help imagine the future of their hometown. Beyond the Winning Idea: How participation can lead to business relationships, mentorship, potential locations, and new entrepreneurial opportunities. What's your idea? Describe the business, activity, or community concept you envision. Who's it for? Explain who would visit, use, or benefit from it. How would it benefit Lake Wales? Identify the value for residents, visitors, local businesses, or downtown activity. How could it work? Explain how the concept might operate, attract customers, generate revenue, or secure support. No existing business or formal business plan is required. The Corner Challenge: Reimagine 124 E. Orange Avenue Date: Wednesday, January 13, 2027Time: 6:00–8:00 PM ESTCheck-in: 5:45 PM Event Venue: Lake Wales Latte Lounge Coffee and Bookshop229 East Stuart Avenue, Lake Wales, FL 33853 Competition Focus: 124 East Orange Avenue, Lake Wales, Florida Admission: Donation-basedCompetition Entry: Planned to be freeAge Groups: Youth Division (K–12) and Open DivisionOrganizer: Lake Wales Startup Night, presented by BackTier Proposed Prize Awards First Place: $1,000 Second Place: $500 Third Place: $250 Prize funding, guest participation, and final competition rules are subject to confirmation. Proposals must respect existing businesses and property arrangements. Winning does not guarantee property access, financing, development approval, or implementation. Register and learn more: https://www.eventbrite.com/e/1750-in-prizes-startup-night-the-corner-challenge-124-e-orange-ave-tickets-2003226923654?aff=oddtdtcreator Economic development is often discussed by property owners, developers, government agencies, and investors. But residents possess valuable knowledge about what their communities need.

  6. 1d ago

    How to Start a Business in Lake Wales, Florida: The Right Order, Real Fees, and Required Steps

    How to Start a Business in Lake Wales, Florida: The Right Order, Real Fees, and Required Steps Starting a business in Lake Wales, Florida, shouldn't require searching through half a dozen government websites just to figure out what to do first. But that's often the reality. In this practical episode of the AI Visibility Podcast, Jason A.I. Wade walks through the process of starting a business in Lake Wales, including the registrations, licenses, taxes, permits, and government agencies involved. Rather than another discussion about AI, this episode focuses on helping local entrepreneurs navigate the requirements in the right order, avoid unnecessary expenses, and understand which fees may apply. From registering a business with the State of Florida and obtaining an EIN to determining whether city and county business tax receipts, zoning approval, or additional permits are required, Jason explains how the pieces fit together. The objective: Give Lake Wales entrepreneurs a clearer path from business idea to legally operating business without wasting time or money navigating conflicting instructions. Exact costs depend on business structure, location, and activities. Always verify current fees and requirements with the responsible agencies. Jason A.I. Wade is an AI Visibility architect based in Orlando, Florida, helping businesses get found, cited, and recommended by artificial intelligence systems. He is the founder of BackTier, which implements AI for law firms, and works through NinjaAI.com on AI SEO, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and digital business discovery. Jason hosts the AI Visibility Podcast, covering artificial intelligence, entrepreneurship, technology, and practical issues affecting businesses in Central Florida. Florida Sunbiz — Business Registration: https://dos.fl.gov/sunbiz/IRS — Employer Identification Number (EIN): https://www.irs.gov/businesses/small-businesses-self-employed/get-an-employer-identification-numberCity of Lake Wales: https://www.lakewalesfl.gov/Polk County Tax Collector: https://www.polktaxes.com/Florida Department of Revenue: https://floridarevenue.com/Florida DBPR — Professional Licensing: https://www.myfloridalicense.com/NinjaAI: https://ninjaai.comBackTier: https://backtier.comJason Wade: https://jasonwade.com The AI Visibility Podcast is produced by BackTier Media, covering artificial intelligence, entrepreneurship, technology, and the changing business environment in Central Florida. This episode is part of an effort to make practical business information more accessible to entrepreneurs in Lake Wales and surrounding communities. Educational information only. Government fees and regulatory requirements may change.

  7. 2d ago

    Three Forces Ending the Checkout | How AI Is Changing the Way We Buy

    Podcast Title Three Forces Ending the Checkout | How AI Is Changing the Way We Buy The traditional online checkout is facing a fundamental transformation. For decades, digital commerce followed a familiar process: search for a product, visit a website, compare options, add something to a cart, and complete the purchase. Artificial intelligence is changing that model. In this episode of the AI Visibility Podcast, Jason A.I. Wade examines three forces reshaping online commerce: AI-powered product discovery, autonomous shopping agents, and integrated purchasing experiences. As AI systems increasingly help consumers discover, compare, select, and purchase products, the conventional checkout page may become less central to the transaction. That shift has significant implications for businesses, retailers, marketers, and the future of SEO. If consumers no longer need to visit your website to make a purchase, how does your business compete? Jason explores the emerging relationship between AI visibility, product data, machine-readable information, and the systems that increasingly influence purchasing decisions. The checkout isn't necessarily disappearing. It's moving closer to the moment AI makes a recommendation. Jason A.I. Wade is the founder of BackTier, which implements AI solutions for law firms, and NinjaAI.com, focused on AI Visibility, AI SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO). As an AI visibility architect, Jason explores how artificial intelligence is changing business operations, digital discovery, consumer behavior, and the way companies establish authority online. He is the host of the AI Visibility Podcast. NinjaAI — AI Visibility: https://ninjaai.com BackTier — AI for Law Firms: https://backtier.com Jason A.I. Wade: https://jasonwade.com Further Reading: Google — Universal Commerce Protocol OpenAI — Agentic Commerce Protocol The AI Visibility Podcast is produced by BackTier Media, covering artificial intelligence, AI visibility, business automation, emerging technology, and the transformation of digital commerce. The podcast examines how AI systems increasingly influence what consumers discover, which businesses they trust, and what they ultimately purchase. The future of commerce isn't just about getting customers to your website. It's about being the business AI chooses to recommend.

  8. 3d ago

    Your Company's Best Information Is Probably Buried in Its Files AI Search, RAG, and the Hidden Value of What Your Business Already Knows

    Your Company's Best Information Is Probably Buried in Its Files AI Search, RAG, and the Hidden Value of What Your Business Already Knows Some of the most valuable information in your company may never have appeared on your website. It's buried in old proposals, project reports, client presentations, spreadsheets, research documents, meeting notes, and years of internal files. Your company may have already written the perfect explanation, solved a difficult problem, documented an important result, or developed a valuable process. But nobody can find it. Now AI is changing how businesses search, retrieve, and use their own knowledge. What if the best answer your company needs has already been written—and AI can finally find it? The Hidden Knowledge Problem: Why valuable business information gets lost across folders, documents, emails, and disconnected systems. Your Best Work Is Already Written: How past proposals, case studies, reports, and research can become reusable business assets. What Is RAG? Retrieval-Augmented Generation: a method that retrieves relevant information from documents or other sources and supplies it to an AI model when generating an answer. Search Your Files With AI: How employees can ask questions in natural language instead of guessing filenames or keywords. From Documents to Answers: How AI can locate relevant passages, summarize findings, and connect information across multiple files. The Source Matters: Why a useful business AI system should identify the documents and passages supporting its answers. The Hallucination Problem: Why RAG can reduce unsupported answers but doesn't eliminate AI errors or misinterpretations. Security and Permissions: Why internal AI search must respect document access controls, confidentiality, and data retention requirements. The Knowledge Advantage: How companies can turn years of accumulated experience into accessible, reusable institutional knowledge. From Internal Knowledge to AI Visibility: How verified internal results can become public case studies, original research, and evidence that external AI systems may discover. Most businesses don't have an information shortage. They have an information retrieval problem. The answer may exist in a document written five years ago, a spreadsheet nobody remembers, or a proposal created by an employee who has since left the company. Traditional file search depends heavily on filenames, keywords, and knowing where to look. AI-powered retrieval can help people search by meaning, ask follow-up questions, and find relevant information across large document collections. But the quality of the results depends on the underlying documents, indexing, retrieval methods, permissions, and verification. Imagine asking your company's AI assistant: "What was the most successful project we completed for a restaurant, and what measurable results did we achieve?" Instead of searching hundreds of folders, the system retrieves relevant project reports, performance spreadsheets, and client presentations. It identifies the documented results and links back to the original evidence. That information could support a new proposal, sales presentation, or case study—after someone verifies the findings and confirms the information can be shared. Before asking AI to create something new, ask whether your company has already created something better. Your business may be sitting on years of valuable knowledge that employees cannot easily access. AI-powered search and RAG can help turn scattered files into a usable knowledge system. The next breakthrough for your business might not come from generating more content. It might come from finally finding what you already know. Presented by BackTier | NinjaAI.com

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AI Visibility Podcast by Jason Ai 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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