AI Visibility Podcast with Jason Ai Wade of BackTier

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content.The Novelty Expiration Date: How quickly yesterday's impressive AI demonstrations become ordinary or outdated.The ChatGPT Voice: Why certain phrases, structures, and writing patterns make content sound artificially generated.The AI Image Problem: Why overly smooth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.

Why Artificial Intelligence Will Decide Which Companies Get Discovered — Chapter OneFor decades, businesses competed for visibility in search engines. Success meant ranking on Google, attracting website visitors, and converting traffic into customers.Artificial intelligence is changing that relationship.In Chapter One of Why Artificial Intelligence Will Decide Which Companies Get Discovered, Jason A.I. Wade explores a fundamental shift in digital discovery: AI systems are increasingly becoming intermediaries between consumers and businesses.Instead of searching through websites, customers can ask AI assistants to identify companies, compare services, evaluate qualifications, and recommend providers.That changes the competitive landscape. A business may have an excellent website, strong traditional SEO, and years of experience yet remain absent from AI-generated recommendations.The emerging challenge is AI Visibility: ensuring that artificial intelligence can discover, correctly identify, understand, and substantiate information about a company.This opening chapter examines why traditional search visibility alone may no longer be sufficient and why businesses need to understand how AI systems select the entities and sources that appear in their answers.The central question: What happens to a business when AI becomes the customer's first point of contact—and never mentions its name?Jason A.I. Wade is a Central Florida-based AI entrepreneur, AI Visibility architect, and host of the AI Visibility Podcast. His work focuses on artificial intelligence, AI SEO, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and digital entity recognition.Through NinjaAI.com and BackTier, he develops projects and research examining how AI systems discover, classify, cite, and recommend businesses.NinjaAI: https://ninjaai.comJason A.I. Wade: https://jasonwade.comBackTier: https://backtier.comProduced by BackTier Media, an independent media initiative exploring artificial intelligence, business, digital identity, and the technologies reshaping how information is discovered and trusted.

Four AI Engines. One Question. Four Different Answers.Ask ChatGPT, Gemini, Claude, and Perplexity the same question. Will they recommend the same businesses, cite the same sources, or reach the same conclusions?Often, they won't.In this episode of the AI Visibility Podcast, Jason A.I. Wade examines one of the fundamental challenges of AI search: different AI systems can produce substantially different answers to identical questions.For businesses investing in AI SEO, Generative Engine Optimization (GEO), and Answer Engine Optimization (AEO), this creates a serious measurement problem. Being visible in one AI engine does not guarantee visibility in another.AI visibility isn't a single ranking. It's a changing landscape of models, retrieval systems, sources, and recommendations.The question isn't simply whether AI can find your business. It's which AI systems recognize it, what they believe about it, and whether they recommend it consistently.Jason A.I. Wade is an AI Visibility architect, entrepreneur, and host of the AI Visibility Podcast. Based in Central Florida, he researches how artificial intelligence discovers, classifies, cites, and recommends businesses and digital entities.Through NinjaAI.com and BackTier, Jason explores AI search, machine-readable identity, digital authority, and the evolving relationship between businesses and AI-powered discovery.NinjaAI: https://ninjaai.comJason A.I. Wade: https://jasonwade.comBackTier: https://backtier.comThe AI Visibility Podcast is produced by BackTier Media, exploring artificial intelligence, search, digital identity, emerging technology, and the systems increasingly influencing what people discover and trust.