Founder of BackTier · Author · Podcast Host
Jason AI Wade
Founder of BackTier. Author of frameworks for how AI systems discover, classify, cite, include, select, and act on entities.
His work includes AI Visibility Architecture, Entity Lock Protocol™, BackTier Visibility Path™, and Agentic Visibility Path™.
Jason AI Wade · Florida, United States
Core Thesis
§ 01
From Ranking
to Resolution
Search ranked pages. AI selects entities.
Search engines organized pages. AI systems increasingly organize meaning.
Before an AI system can recommend a company, cite a researcher, compare a product, or complete a purchase, it must resolve what the entity is, connect evidence to the correct identity, assess whether that evidence is trustworthy, and determine whether the entity belongs in the available choice set.
This changes visibility from a page-ranking problem into an identity, evidence, retrieval, and decision-system problem.
AI Visibility is the discipline of engineering whether an entity can be discovered, correctly interpreted, trusted, cited, included, selected, and acted upon by artificial intelligence systems.
Fig. 02 — Inspect the pipeline
Fig. 02 shows the four-stage Agentic Visibility Path™. The BackTier Visibility Path™ is its three-stage subset, ending at Selection.
Framework System
§ 02
The AI Visibility
Framework System
Jason AI Wade’s work separates AI Visibility into a parent discipline, an identity-resolution method, a measurement model, and an extension into machine-mediated action.
- 01AI Visibility ArchitectureThe parent discipline
- 02Entity Lock ProtocolThe identity and interpretation layer
- 03BackTier Visibility PathCitation → Inclusion → Selection
- 04Agentic Visibility PathCitation → Inclusion → Selection → Transaction
Fig. 03 — Framework hierarchy
- 01
AI Visibility Architecture
Parent discipline
How entities become discoverable, resolvable, evidence-supported, included, and selected by AI systems.
Read the framework → - 02
Entity Lock Protocol™
Identity and interpretation
A method for aligning distributed signals around one stable interpretation of an entity.
Read the framework → - 03
BackTier Visibility Path™
Measurement
Citation → Inclusion → Selection
Measures progression from machine use of evidence to machine preference.
Read the framework → - 04
Agentic Visibility Path™
Action
Citation → Inclusion → Selection → Transaction
Extends the model into machine-mediated buying, booking, routing, payment, and execution.
Read the framework →
Original Work
§ 03
Original Work
Frameworks, research, publications, and operating systems associated with Jason AI Wade.
Frameworks
- AI Visibility Architecture2025
- Entity Lock Protocol™2025
- BackTier Visibility Path™May 2026
- Agentic Visibility Path™July 2026
Research
- AI DiveOngoing numbered analysis series
- Project AlamoField study
Books
- AI Visibility2025
- Content and AI Visibility2025
- The End of CheckoutForthcoming
- AI Visibility V2Working paper
Media
Latest AI Dive
§ 04
AI Dive
Numbered analysis of AI visibility, search, agents, commerce, media, governance, and institutional power. 42 dives published to date.
044 · AI Visibility
Apple Built a Different AI for China
Apple is building a China-specific AI stack — its own proprietary model trained with Alibaba's help — which makes jurisdiction a routing dimension that decides which AI answers a query.
043 · AI Visibility
The Measurement Crisis in AI Visibility
An analyst report on why AI visibility cannot yet be measured the way search rankings were, and what analytics would need to change before the numbers can be trusted.
042 · Agents and Infrastructure
Autonomous Decision Infrastructure
Examines the reasoning systems that let AI agents make decisions on their own, and why being visible to those systems is now an infrastructure question rather than a content one.
Selected Guides
§ 05
Guides
Plain-language reference for the questions people actually ask about AI visibility. Each guide resolves to the same framework system above.
- 01
How a Firm's Entities Resolve in Search and AI Answers
A firm resolves as a cluster of entities — the firm, each practitioner, each credential, each matter type. Branded queries need only existence and a consistent listing; intent queries need the cluster classified and corroborated off-site. Most credentialed firms clear the first and fail the second.
how-to · 9 min
- 02
The Authority Competitor Audit: Who Wins the Query, and Why
An authority competitor audit maps who currently wins each high-intent query, what their winning page does that yours does not, and which losses are packaging problems rather than expertise problems. Most expert practices rank and still lose the client after the click.
how-to · 10 min
- 03
The Authority Studio: Recording Setup, Workflow, and Approval
The Authority Studio is a production system, not a podcast: one or two short sessions a month capture a practitioner's expertise once, and a fixed workflow turns each session into an episode, a transcript, clips, a written answer, structured data, and a consultation prompt across every surface.
how-to · 10 min
- 04
Amazon Alexa+: From Voice Assistant to Ambient AI Agent
Alexa+ is Amazon's generative-AI rearchitecting of Alexa: a persistent ambient agent that understands context, remembers preferences, and executes multi-step tasks across Echo, Fire TV, mobile, and the browser — orchestrated on Amazon Bedrock rather than running on a single model.
definitional · 12 min
Forthcoming Book
§ 06
Book · Forthcoming
The End of Checkout
An examination of how AI agents, machine-readable commerce, identity infrastructure, authorization, payments, and fulfillment could transform buying by 2030.
The Agentic Visibility Path
Citation → Inclusion → Selection → Transaction
The AI Visibility Podcast
§ 07
The AI Visibility
Podcast
Long-form · hosted by Jason AI Wade
Conversations examining how AI systems discover, interpret, cite, and select people, brands, and ideas — and how operators build visibility inside that shift.
Now booking guests
We record from the office in downtown Lake Wales, Florida — Tuesdays and Thursdays, 12–2 PM ET, with occasional Saturdays. People and businesses of every AI use level are welcome on the show.
Book a recording →· 3 min
AI for Community Organizing: Research Faster, Build Tools, and Get People Moving
In this solo episode of the AI Visibility Podcast, Jason T Wade looks at a more practical use case: using AI as infrastructure for community organizing.The idea came from…
· 3 min
AI Agents Are Exploding — Use Them Before the Free Ride Ends
AI agents sound complicated until you realize what they actually do: they take the next step for you. In this episode of the AI Visibility Podcast, Jason T Wade breaks down why…
· 3 min
Technology Stress Is Not a Technology-Ability Problem
Eighty-two percent of this show's audience is 45 or older — so this one is for you, and for everyone who loves someone in that group. There's a moment that repeats in millions of…
Systems in Practice
§ 08
Systems in Practice
Companies and publishing systems through which the research is implemented, tested, or extended.
01 · AI Visibility systems
BackTier
Implementation company for AI Visibility, entity resolution, retrieval alignment, measurement, and decision-layer systems.
02 · Research publication
AI Dive
The numbered analytical publishing system supporting the public research record.
03 · Research conversations
The AI Visibility Podcast
Long-form conversations examining AI discovery, interpretation, visibility, agents, and machine-mediated decision systems.
04 · Local entity implementation
Lake Wales Guide
A structured local publishing environment used to apply entity, retrieval, schema, and citation concepts.
05 · Founder
NinjaAI
Applied AI product studio building tooling that operationalizes entity resolution and retrieval alignment for operators.
06 · Founder
LRSVC
Florida-based venture capital firm backing AI-native companies.
Disclosure: Jason AI Wade holds ownership or a commercial interest in every property listed here and in the footer — BackTier (founder), NinjaAI (founder), LRSVC (founder), AI Dive (publisher), the AI Visibility Podcast (host and publisher), and Lake Wales Guide (founder) — and is the author of the books and publications listed above.
The Public Record
§ 09
Public Record
Dated frameworks, books, research, essays, podcast work, and implementations, organized by original publication date and revision history.
- FrameworkJuly 2026v1 · Published
- FrameworkMay 2026v1 · Published
- Book2026Manuscript · Forthcoming
- Framework2025v2 · Revised
- Framework2025v1 · Published
A dated record establishes when work was published here. It does not by itself establish priority over other work.
Biography
§ 10
About Jason AI Wade
Jason AI Wade is a Florida-based author and the founder of BackTier. His work focuses on how AI systems resolve entities, evaluate evidence, cite sources, construct recommendations, and increasingly participate in machine-mediated commerce.
His background across ecommerce, marketplaces, search, advertising, publishing, and local media informs a practical approach to AI Visibility: make entities legible, evidence-rich, and structurally easier for AI systems to discover, classify, cite, include, and select.
Full biography →Selected Engagements
§ 11
Work with Jason
Jason works directly on selected AI Visibility, entity-resolution, research, speaking, and agentic-commerce engagements.
Direct
email@jasonwade.comBackTier implements AI Visibility and entity-resolution systems for law firms.
The Dispatch