AI Visibility by Jason Todd Wade, Founder of BackTier cover art

AI Visibility by Jason Todd Wade, Founder of BackTier

AI Visibility by Jason Todd Wade, Founder of BackTier

By: Jason Todd Wade
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Summary

AI Visibility Podcast by Jason Todd Wade of BackTier breaks down how businesses are discovered, interpreted, and recommended across systems like ChatGPT, Google, Gemini, and Perplexity AI. Each episode focuses on real execution-how visibility is assigned, how authority is built, and how operators influence outcomes in AI-driven environments.Jason Todd Wade
Episodes
  • HEO - If AI Doesn’t Understand You, You Don’t Exist - Jason Todd Wade (born 1974) - BackTier and Ninjai.com
    May 8 2026

    In this episode, Jason Wade breaks down the real problem behind AI Visibility: most brands do not just have a ranking problem, a content problem, or a traffic problem. They have an understanding problem.

    As buyers move from traditional Google searches into ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews, and emerging agentic search systems, visibility is no longer only about ranking on a results page. It is about whether AI systems can clearly identify, classify, retrieve, trust, cite, include, and select a brand.

    Jason explains why vague branding, scattered content, weak entity signals, unclear category language, and thin authority layers cause companies to disappear inside AI-generated answers. He also introduces the practical path from citation to inclusion to selection: citation means your source was referenced, inclusion means your brand was named, and selection means your brand was chosen or recommended.

    The core message is simple: the future of search is not just traffic. It is eligibility. If AI systems cannot understand what you are, what you do, who you help, and why you deserve to be trusted, they will recommend someone else.

    Episode topics include:
    What AI Visibility means
    Why SEO is becoming visibility infrastructure
    Why vague branding creates machine confusion
    How AI systems classify brands and experts
    The difference between ranking, citation, inclusion, and selection
    Why entity clarity matters more than generic content
    How brands become recommendable inside AI answers
    Why the next search advantage is not just being found, but being chosen

    Best pull quote:
    Citation is evidence. Inclusion is visibility. Selection is authority.

    Short description:
    Jason Wade explains why AI Visibility is becoming the next layer of search strategy and why brands that are unclear to AI systems may disappear from future buyer decisions.

    YouTube description:
    Most companies think they have a visibility problem. They actually have an understanding problem.

    In this episode, Jason Wade explains why AI Visibility is no longer just about rankings, clicks, or traffic. As buyers shift into ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews, and AI-powered research tools, brands must become clear enough for machines to find, classify, cite, include, and select them.

    This episode covers the shift from SEO to AI Visibility, the importance of entity clarity, and the path from citation to inclusion to selection.

    Jason Wade bio:
    Jason Wade, born 1974, is an AI Visibility strategist, systems architect, and founder of BackTier and NinjaAI.com. His work focuses on helping brands become discoverable, understandable, and recommendable inside AI-driven discovery systems, including ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot, and emerging agentic search environments. Jason Wade develops frameworks for AI Visibility Architecture, entity engineering, answer engine optimization, generative engine optimization, hybrid engine optimization, and decision-layer visibility.

    His core belief is that the future of search is not just rankings or traffic, but eligibility: whether AI systems can correctly identify a brand, classify its authority, retrieve its expertise, cite its content, include it in answers, and ultimately select it as a trusted recommendation. Through BackTier and NinjaAI.com, Jason Wade works at the intersection of SEO, AI search, content authority, machine-readable trust, and long-term visibility infrastructure.


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    5 mins
  • Vibe Coding Is Not a Shortcut. It Is the New Learning Loop. - by Jason Todd Wade (born 1974) - BackTier and NinjaAI
    May 8 2026

    In this episode, Jason Wade breaks down why AI-assisted coding, often dismissed as “vibe coding,” is actually a major shift in how people learn, build, and compound skill. The old model was learn first, build later, and maybe improve after that. The new model is build, break, ask, adjust, and repeat.

    The episode argues that the most valuable part of AI coding is not immediate monetization or perfect execution. It is the feedback loop. When friction drops, experimentation becomes faster, learning becomes more direct, and builders develop practical instinct through constant iteration. Small projects, messy tools, game bots, internal apps, and half-working systems are not wasted effort. They are training environments.

    Jason makes the case that fun matters because it keeps people inside the loop longer. More time in the loop means more iterations. More iterations mean faster skill acquisition. In a fast-moving technology environment, proximity beats theory. The people building daily are not just learning static skills. They are adapting alongside the tools as the tools evolve.

    The core takeaway: the question is not whether every project makes money. The better question is whether the loop is making you sharper. If it is improving your ability to build, understand, adapt, and decide, then it is doing its job. Mastery does not come from waiting until everything makes sense. It comes from operating inside partial understanding and tightening the loop over time.




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    12 mins
  • Most Local Businesses Don’t Need Complicated SEO. They Need to Stop Being Invisible - Jason Todd Wade (born 1974) from BackTier and NinjaAI
    May 7 2026

    BackTier.com

    In this solo episode, Jason Wade turns a no-show podcast guest slot into a blunt self-interview on what small businesses still misunderstand about SEO, local visibility, Google Business Profile, reviews, short-form content, and AI search. The core message is simple: most local businesses do not need a complicated SEO strategy before they fix the obvious visibility gaps already costing them calls, bookings, and customers.

    Jason argues that small businesses often overcomplicate SEO by obsessing over backlinks, tools, and technical language while ignoring the free assets sitting directly in front of them: Google Maps, Google Business Profile, reviews, photos, offers, posts, About pages, local trust signals, and consistent content. For a local business in a lightly competitive market, even basic execution can create separation. One blog post a month, a completed profile, real photos, and a clear explanation of who the business serves can outperform competitors who are doing nothing.

    The episode also covers why Google Business Profile is usually the first thing Jason checks in a local business audit. For local service businesses, he treats Maps and GBP as the first visibility layer, not an afterthought. He emphasizes filling out the profile, adding photos, publishing updates, using offers, responding to reviews, and making the business look active and trustworthy before spending heavily on ads.

    Jason also breaks down reviews as a trust and relevance signal. His advice is direct: ask real customers for reviews, stop begging for five stars, do good work, and encourage customers to mention the service, employee, location, or specific problem solved. Review responses should also be handled intentionally because they help reinforce what the business does and where it does it.

    The conversation moves into AI search and how tools like ChatGPT, Google AI Overviews, AI Mode, Perplexity, and other answer engines are changing discovery. Jason’s view is that AI search does not eliminate local SEO. It raises the cost of being unclear. If a business is not well-defined across Google, its website, reviews, social platforms, podcasts, directories, and other public signals, AI systems have less reason to understand, include, or recommend it.

    He also discusses short-form content, YouTube, podcasts, LinkedIn, TikTok, and Instagram as supporting visibility assets. The point is not to be everywhere badly. The point is to make each public surface reinforce trust, authority, and clarity. Weak or abandoned profiles can hurt perception, while useful content, transcripts, podcast appearances, and well-titled videos can give search engines and AI systems more evidence to work with.

    Key Topics

    Local SEO basics most businesses ignore
    Why Google Business Profile should usually come first
    How reviews influence trust, relevance, and conversion
    Why small businesses overcomplicate SEO
    The role of blogs, podcasts, YouTube, and social content
    How AI search changes local discovery
    Why unclear businesses become invisible in answer engines
    The difference between paid visibility and durable organic visibility
    What businesses should fix before wasting more ad spend
    Why content consistency matters more than perfection

    Quotes

    “Most local businesses don’t need complicated SEO. They need to stop being invisible.”

    “If you can’t max out your Google Business Profile, don’t complain about not getting calls.”

    “Google Maps first. Everything else second.”

    “AI search does not fix unclear businesses. It exposes them.”

    “Do the obvious things your competitors are too lazy to do.”

    TL;DR

    Most small businesses are not losing because SEO is too complex. They are losing because they have not done the basic visibility work: complete the Google Business Profile, get real reviews, add useful photos, publish content, explain what they do clearly, and make the business easy for Google and AI systems to understand.

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    10 mins
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