AI Visibility Podcast with Jason Ai Wade of BackTier

My AI Podcast Audience Is Getting Younger and More Female. Why?AI Visibility Podcast with Jason AI Wade | November 2026Something unexpected is happening with my podcast audience.For a long time, my listeners were overwhelmingly men over 50. But when I recently examined my YouTube and Spotify analytics, I noticed a striking demographic divide: listeners under 45 were predominantly women, while listeners over 45 were predominantly men.What's happening around age 45? And what does that tell us about who's adopting artificial intelligence, who's concerned about its impact, and who's looking for new opportunities?In this short episode, I share what I'm discovering about my audience and how I'm using AI to better understand the numbers and adjust my programming.I'm also experimenting with a new approach: organizing the podcast around a different AI theme each month. November's theme is AI for Everyone, and the early response suggests these focused episodes are connecting with listeners.The surprising age and gender divide in my podcast audience.Why younger women and older men may be engaging with AI for different reasons.Using ChatGPT and other AI tools to interpret audience analytics.Why audience engagement and relevance matter more than raw listener counts.How monthly themes are shaping the podcast's direction.What audience data can reveal about AI education and adoption.The central question: Are younger women approaching AI as an opportunity while older men are approaching it as a potential disruption? That's a hypothesis worth exploring, not a conclusion the data can establish.Jason AI Wade is the founder of BackTier, a Florida-based AI Visibility company, and host of the AI Visibility Podcast. With more than two decades of experience in digital business, ecommerce, search, and online publishing, Jason explores how artificial intelligence is changing business, entrepreneurship, work, and the way people and organizations are discovered and recommended.His work focuses on AI Visibility, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and practical AI adoption.Podcast: https://backtier.com/podcastSpotify: https://open.spotify.com/show/2GKjqiFMhh7pO15RXkkG5E

Another AI Tool? Seriously?The Growing Pile of AI Subscriptions Businesses Don't Know What to Do WithAnother week. Another AI tool. Another subscription.ChatGPT. Claude. Gemini. Perplexity. AI writing tools, image generators, video editors, meeting assistants, automation platforms, AI agents, and dozens of specialized applications promising to transform your business.Every product claims to save time, increase productivity, or replace something you're already paying for.And somehow, the monthly software bill keeps growing.Welcome to AI subscription fatigue.In this episode of POD, we examine the explosion of AI tools, the growing cost of overlapping subscriptions, and why businesses may be confusing access to more technology with actual improvements in performance.The AI Tool Explosion: Why every software company seems to be launching an AI product, assistant, or agent.Subscription Fatigue: How small monthly charges accumulate into substantial recurring expenses.The Overlap Problem: Why businesses pay for multiple tools that perform essentially the same functions.The Wrapper Economy: What happens when specialized AI products depend on the same underlying foundation models.The AI Agent Pitch: Why the latest promise of autonomous work deserves careful evaluation.The Integration Problem: How disconnected tools create more workflows, accounts, data transfers, and administrative overhead.The Hidden Costs: Learning curves, employee training, switching costs, privacy exposure, and unreliable outputs.The Consolidation Opportunity: When one capable AI platform can replace several narrowly focused subscriptions.Build, Buy, or Cancel: How to decide whether another AI tool deserves a place in your business.Consider a small business paying for:A general-purpose AI assistant.An AI writing and marketing platform.An AI meeting transcription service.An AI image or video generator.An AI automation platform.An AI customer service tool.An AI SEO or visibility platform.Each subscription might appear reasonable on its own.But the combined cost can become significant, especially when employees use only a fraction of the available capabilities.And subscription fees aren't the only expense.Every additional tool introduces another vendor relationship, another security consideration, another interface to learn, and potentially another place where business data is stored.The real cost of an AI tool is not its monthly price. It's the total cost of making it useful.Before purchasing another AI tool, businesses should ask:What specific problem does this solve?Can an existing platform already accomplish the same task?How much time or money will it actually save?What evidence supports the promised improvement?Who will use it, and how often?And what happens if we cancel it?A demonstration isn't a business case. A feature list isn't a return on investment. And a subscription that nobody uses isn't an AI strategy.A practical approach begins with examining the tools a business already pays for.Identify duplicate capabilities, underused subscriptions, unnecessary integrations, and workflows that could be simplified.Then evaluate tools based on measurable business outcomes rather than marketing claims.A specialized AI application may justify its cost when it provides proprietary data, dependable automation, domain-specific capabilities, compliance features, or integration advantages that general-purpose platforms cannot adequately replace.But specialization alone doesn't establish value.Buying AI tools is easy.Changing how a business operates is harder.

AI and the Age of Instant RegretAI Cringe: What Looked Impressive Yesterday Looks Embarrassing TodayNot long ago, an AI-generated image, a ChatGPT-written article, or a synthetic video could stop people in their tracks.Today, the same content might make them cringe.The technology hasn't necessarily gotten worse. Our expectations have changed.As AI makes professional-looking content available to everyone, audiences are becoming more familiar with its patterns: the generic writing, exaggerated enthusiasm, artificial-looking images, robotic voices, and overly polished presentations.What once looked innovative can quickly become a signal of low effort.We're entering the age of instant AI regret—where something you proudly publish today might embarrass you six months from now.What Is AI Cringe? Why audiences increasingly recognize and reject generic AI-generated content.The Novelty Expiration Date: How quickly yesterday's impressive AI demonstrations become ordinary or outdated.The ChatGPT Voice: Why certain phrases, structures, and writing patterns make content sound artificially generated.The AI Image Problem: Why overly smooth faces, impossible details, exaggerated lighting, and familiar visual styles can undermine credibility.Synthetic Everything: How AI-generated videos, voices, advertisements, and social posts can create a sense of artificiality.The Instant Regret Problem: Why businesses may look back at their early AI marketing and wish they'd exercised more judgment.The Content Flood: What happens when everyone can produce unlimited professional-looking material.The Authenticity Advantage: Why original photography, real experiences, distinctive voices, and verifiable expertise may become more valuable.AI as a Tool, Not a Personality: How to use AI for research, editing, and production without surrendering your identity.The AI Visibility Connection: Why generating more content doesn't automatically create credibility, differentiation, or recommendations.AI has dramatically reduced the cost of creating content.But when production becomes easy, simply producing something polished stops being impressive.Audiences begin looking for other signals of value: originality, judgment, substance, accuracy, and a recognizable human perspective.That doesn't mean businesses should stop using AI.It means they need to become more selective about what they publish.The problem isn't necessarily that AI created the content. It's that nobody exercised enough judgment before releasing it.AI makes it easier than ever to create something that looks finished before it's actually worth publishing.The competitive advantage is shifting from the ability to generate content toward the ability to recognize what's good.Use AI to improve your work, not to replace your taste, experience, or judgment.The question isn't whether AI can make it. It's whether you'll still be proud of it next year.Presented by BackTier | NinjaAI.comTopics: AI Cringe, AI Content, Generative AI, AI Marketing, Authenticity, AI Images, AI Writing, Synthetic Media, AI Slop, Content Quality, AI Visibility, Creative Judgment.What We'll CoverThe Bigger PictureKey Takeaway

Eric Curts is a Technology Integration Specialist at SPARCC and the Stark County Educational Service Center in North Canton, Ohio, which supports more than thirty school districts in Northeast Ohio. This is his 35th year in education. He started in 1992 as a math teacher at North Canton Middle School, later spent 14 years as the district’s Technology Integration Specialist, and now works as an EdTech coach. He is a Google for Education Certified Trainer and Certified Innovator, and a co-leader of GEG-Ohio. He publishes free educator resources at Control Alt Achieve and EduPrompts (formerly EduGems), and is the author of the 2020 book Control Alt Achieve: Rebooting Your Classroom with Creative Google Projects.Jason AI Wade is the founder of BackTier and host of the AI Visibility Podcast. He is the author of AI Visibility: How to Win in the Age of Search, Chat & Smart Customers, and writes at jasonwade.com.Eric’s links:EduPrompts, 175 ready-to-use AI prompts for schoolsFrom EduGems to EduPrompts, his November 9 post about the renameControl Alt Achieve, his blog and free resource libraryAbout EricAI resourcesBioPD catalogNewsletterYouTubeLinkedInControl Alt Achieve (the 2020 book)December 10 webinar, “Mastering the Shift: Gemini Gems to Skills” (not mentioned on the episode)Webinar registrationYour links:jasonwade.comBackTierAI Visibility Podcast on Spotifythingspro.com, book a guest appearanceWatch my bio

Andrew Shotland has spent roughly two decades in search.Right now, he says it is one of the most interesting periods the industry has seen in years. SEO is still here, but the machines interpreting businesses, services, locations, and recommendations have changed.In this episode of the AI Visibility Podcast, Andrew joins Jason AI Wade to talk about what is actually changing—and what still works.Andrew’s basic model is straightforward: SEO has always been about helping a machine understand what a business does and when it should be surfaced. That principle still holds. What has changed is the system doing the understanding.For local businesses, that means going beyond generic category language.If a plumber does water heater replacement, storm drains, or emergency service, those specific attributes need to exist clearly on the company’s own pages and across the external sources AI systems may use as evidence. Andrew argues that citations, listings, and third-party mentions are not just consistency signals anymore—they can help establish what a business should actually be associated with.The strongest example in the episode comes from a 160-location company.Andrew’s team found a visibility gap around construction job-site bathroom and toilet queries. They took 20 locations, added relevant language to their Google Business Profile descriptions and local citation ecosystem, and watched what happened.Within days, visibility moved in Google AI Mode. Later, those same test locations began gaining visibility in ChatGPT while the untouched locations initially stayed flat.Then the experiment got more interesting.About a month later, the broader location network began gaining visibility around the same concept. Andrew’s theory was that enough pages had connected the brand with that service category that the association began to spread across the larger entity.The episode also gets into competitor-adjacent content and conversational search.That leads to one of the larger shifts in AI-era discovery:Instead of optimizing only for a keyword, businesses increasingly need to think about the sequence of questions a person may ask before reaching a decision.Andrew calls this thinking through the “infinite conversational paths.”The discussion also covers agentic SEO, automation, content-gap analysis, entity corroboration, and the strategic value of using AI to reduce repetitive work.Andrew’s preference is not to pocket the saved time. It is to use that time to investigate harder questions, run better experiments, and improve the product or service being delivered.The larger lesson is simple:There is no finished playbook yet.The companies that learn fastest will likely be the ones willing to test, measure, and take more intelligent swings.As Andrew puts it, even the best baseball players do not hit every pitch. The advantage comes from taking enough swings to find what works.Andrew ShotlandFounder and CEO of Local SEO Guide.Andrew works across local SEO, multi-location search, AEO, and AI visibility. His current focus is understanding how businesses can become easier for Google, ChatGPT, and other AI systems to interpret and recommend.He has been working in search for roughly two decades and describes the current shift as one of the most interesting periods of his career.Local SEO in the age of AIGoogle AI Mode and ChatGPT visibilityLocal citations as AI evidenceService and attribute distributionEntity corroborationCompetitor-adjacent contentConversational search pathsContent-gap analysisAgentic SEOAI-powered automationMulti-location testingWhy experimentation matters more than a static GEO playbookLocal SEO Guidehttps://www.localseoguide.com/Andrew Shotland on LinkedInAndrew says LinkedIn is his primary social platform and where he posts most of his ideas and commentary.