
About
Jason AI Wade
Founder of BackTier
5 min readI’m Jason AI Wade. I was born in 1974 in Gainesville, Florida, and spent my formative years in Lake Wales. I attended the University of Florida and am a graduate of Rollins College in Winter Park.
I’ve spent more than two decades building things on the internet — ecommerce, SEO, marketplaces, advertising, publishing, and all the digital debris that accumulates when you start before anyone used the phrase “generative engine optimization.” Today I’m a technology entrepreneur and AI Visibility architect: I study how artificial-intelligence systems discover, classify, distinguish, cite, and recommend people and organizations. I’m the founder of BackTier and NinjaAI, and I host the AI Visibility Podcast, where I document how machines read, classify, and recommend people and brands.
In 2026, I changed my name on the internet. Not legally, and not because putting “AI” in the middle of my name sounds futuristic — I changed the public identity I present to the web from Jason T Wade to Jason AI Wade, and I’m treating the entire thing as a live experiment. The question is deceptively simple: can I deliberately change how AI systems identify, classify, understand, cite, and eventually recommend a person? The full narrative is published on the Jason AI Wade Experiment page, and the live measurements are on the seven-stage visibility tracker.
The experiment continues what lawyers, businesses, startups, and franchises have famously and repeatedly observed: “Mr. Wade has certain skills.”
A note on naming: earlier work is published under Jason T Wade, which remains an alternate name for the same person. “Jason AI Wade” is the canonical name on this site going forward. The change is one of public identity, not of paperwork — and how machines respond to a documented, corroborated change is precisely what the experiment measures.
The frameworks, measured live
AI Visibility Architecture
The discipline of building identities and evidence machines can resolve, classify, cite, and recommend.
The Agentic Visibility Path™
Citation → Inclusion → Selection → Transaction — the path from being referenced to being recommended.
Entity Lock Protocol™
Making one entity unambiguously resolvable to machines through structured identity and corroboration.
The Jason AI Wade Experiment
The live case study: a deliberate public identity change, tracked from discovery to recommendation.
Live progress across the seven stages
32% overall · updated 2026-09-12
- 01DiscoveryConfirmed · 100%
- 02RecognitionIn progress · 55%
- 03ClassificationIn progress · 40%
- 04CitationIn progress · 30%
- 05InclusionNot yet observed · 0%
- 06SelectionNot yet observed · 0%
- 07RecommendationNot yet observed · 0%
Books
The End of Checkout
How AI agents, stablecoins, and machine-readable commerce will rebuild buying by 2030. Introduces The Agentic Visibility Path — Citation → Inclusion → Selection → Transaction — the four-stage staircase every brand must climb to participate in the agent economy. 22 chapters across three shifts: the Interface Shift (2026), the Operating Model Shift (2027), and the Economic Rail Shift (2030).
Content and AI Visibility
A working framework for engineering content as machine-readable infrastructure. Explains how retrieval, entity resolution, and decision-layer insertion determine whether a brand is selected inside AI-generated answers.
The Ouroboros Prompt
A study of self-reinforcing prompt systems and how recursive structures shape large language model behavior. Treats prompts as deterministic systems rather than creative inputs.
Vibe Coding Manifesto
A manifesto on building software in collaboration with AI. Frames the developer as a systems architect aligning intent, model behavior, and output.
AI Visibility: Search Smart Customers
The original publication of AI Visibility Architecture. Defines the shift from search rankings to inclusion inside machine-generated outputs.
AI Visibility: Operator Edition
The Operator Edition. A practitioner's playbook for deploying AI Visibility systems across retrieval, entity resolution, and decision-layer insertion.
The AI Visibility Podcast
The AI Visibility Podcast with Jason AI Wade breaks down how people, companies, and ideas are discovered, interpreted, and selected by AI 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.
AI Adoption That Actually Works: From Tools to Systems with Marnie Wills & Jason AI Wade
Apr 16, 2026 · 47 min
Jason AI Wade and Marnie Wills unpack what AI adoption actually looks like beyond the hype—building full AI ecosystems, the rise of 'Amplified Intelligence,' the IP risks of personal AI accounts inside businesses, and why high-functioning operators compound output while weak ones get exposed.
AI Isn't Failing—Your People Systems Are: Jill Delgado of Kyndryl & Jason AI Wade
Apr 15, 2026 · 1 hr 12 min
Most AI transformations stall because of trust, time, and behavior—not tools. Jill Delgado breaks down fake adoption, shadow workflows, the middle-management choke point, and the Clarity → Confidence → Commitment adoption path.
How to Leverage AI to Scale Your Business
Apr 14, 2026 · 10 min
Jason breaks down how he leverages AI to drive visibility, automate lead-gen, and scale content without hiring. The Identify → Automate → Monetize framework, plus when AI actually increases costs and burnout.
Vibe Coding, No-Code Reality, and the Future of AI-Built Software with Dan Hafner
Apr 10, 2026 · 46 min
What's actually happening inside the no-code and AI development movement. The hybrid stack that ships real apps (Lovable + Claude + VS Code), why the last 5% kills most projects, pricing for no-code agencies, and the shift toward AI-run companies.
Building Florida Slice for Lake Wales / Polk County — AI Visibility, SEO, GEO, AEO
Apr 9, 2026 · 4 min
Jason AI Wade, Founder of BackTier, on entity engineering, authority positioning, and practical systems that make local brands easier for both search engines and AI assistants to understand, trust, and recommend.
Engineering AI Visibility in the Age of Machine Decisions
Apr 9, 2026 · 12 min
Ranking is being replaced by selection. Jason explains Entity Engineering, decision-layer insertion, the define → distribute → anchor → test → reinforce loop, and why the window to influence model interpretation is closing.
YouTube Videos
Experience
Founder · BackTier
January 2022 – Present · Florida, United States
Digital Growth & Operations · Independent Ecommerce Venture
October 2017 – December 2021 · Florida, United States
Director of Growth · Modena, Inc.
April 2003 – January 2017 · Orlando, FL
Certifications
- Gen AI: Beyond the Chatbot
- Introduction to Artificial Intelligence (AI)
- ChatGPT Prompt Engineering for Developers
- Digital Marketing Strategy: Navigating Emerging Media and AI
- Microsoft Copilot, Microsoft Copilot Studio & GitHub Copilot