Jason Todd Wade | AI Visibility Architect and Founder of BackTier

    Jason Todd Wade · AI Visibility Architect

    Jason Todd Wade

    Founder of BackTier. Originator of AI Visibility Architecture.

    Jason Todd Wade develops systems that improve how artificial intelligence discovers, interprets, cites, includes, and selects people, companies, products, and ideas. His work includes AI Visibility Architecture, Entity Lock Protocol™, BackTier Visibility Path™, and Agentic Visibility Path™.

    Core Thesis

    Search ranked pages.
    AI selects entities.

    Traditional search engines retrieved documents, ranked pages, and allowed users to compare options.

    AI systems operate differently. They resolve identities, compress evidence, interpret authority, narrow consideration, generate recommendations, invoke services, and increasingly complete actions.

    The strategic question is no longer only whether a page can rank. It is whether a machine can correctly understand an entity and whether the available evidence is strong enough to support inclusion and selection.

    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.

    The Work

    Four frameworks.
    One coherent discipline.

    The frameworks below form a connected body of original work developed and published by Jason Todd Wade and operationalized through BackTier.

    1. 01

      AI Visibility Architecture

      The parent discipline governing whether an entity can be retrieved, correctly interpreted, trusted, included, selected, and recommended by artificial intelligence systems.

    2. 02

      Entity Lock Protocol™

      A method for converging distributed identity signals around one stable, canonical interpretation of a person, organization, product, or concept.

    3. 03

      BackTier Visibility Path™

      Citation → Inclusion → Selection. A measurement framework for progression from machine use to machine preference.

    4. 04

      Agentic Visibility Path™

      Citation → Inclusion → Selection → Transaction. The extension of AI Visibility into machine-mediated commerce, where agents discover, evaluate, select, book, purchase, route, and pay.

    Documented Work

    A dated public record.

    Jason’s work is published through dated frameworks, books, research projects, essays, presentations, podcast episodes, and implementation systems. Every row links to the public record that establishes its date.

    Featured Publication

    Forthcoming

    The End of Checkout

    How AI agents, machine-readable commerce, and new payment rails could transform buying by 2030.

    The End of Checkout examines the transition from human-operated ecommerce to machine-mediated purchasing. It introduces the Agentic Visibility Path™ and explains the infrastructure brands must enter before AI agents can discover, evaluate, select, and transact with them.

    • Agentic commerce
    • Machine-readable offers
    • AI payment protocols
    • Identity & authorization
    • Stablecoins & tokenized deposits
    • Agent-aware card networks
    • The disappearance of checkout

    Selected Analysis

    AI Dive.

    Jason publishes AI Dive, a numbered analytical series covering AI Visibility, artificial intelligence, search, markets, commerce, media, law, governance, and institutional power.

    • 01

      AI Visibility · 2026

      From Findable to Selectable

    • 02

      Search & Media · 2026

      Beyond SEO

    • 03

      Agents & Infrastructure · 2026

      The Agent Internet

    • 04

      Search & Media · 2026

      Reddit Brain

    • 05

      Agents & Infrastructure · 2026

      The Memory Problem

    • 06

      AI Visibility · 2026

      Beyond Claude

    • 07

      Search & Media · 2026

      Google Didn’t Kill GEO — It Killed Fake GEO

    • 08

      Search & Media · 2026

      SEO Under the Grass

    Selected Projects

    Systems,
    shipped.

    Companies, publications, and platforms built as applied AI Visibility Architecture — each one a working test of how machines resolve, cite, and select an entity.

    • 01

      Founder · AI Visibility Systems

      BackTier

      The operating company behind AI Visibility Architecture. Builds retrieval alignment, entity resolution, and decision-layer insertion systems so brands are correctly understood, cited, and selected by AI systems.

      • Entity Lock Protocol
      • Schema.org / JSON-LD
      • CMS Architecture
      • Retrieval Alignment
      backtier.com →
    • 02

      Author · Numbered Analysis Series

      AI Dive

      A dated, numbered analytical record covering AI visibility, search, agents, commerce, media, and governance — published as the citable public timeline behind the frameworks.

      • Editorial System
      • Structured Publishing
      • Entity Graph
      • RSS / Atom
      aidive.online →
    • 03

      Author · 2026

      The End of Checkout

      A 22-chapter examination of how AI agents, stablecoins, and machine-readable commerce rebuild buying by 2030. Introduces The Agentic Visibility Path — Citation → Inclusion → Selection → Transaction.

      • ACP / AP2 / UCP
      • MCP
      • x402
      • Agentic Commerce
      Read the book →
    • 04

      Host · BackTier Media

      AI Visibility Podcast

      Conversations on how AI systems discover, interpret, and select entities — distributed across Spotify, YouTube, and syndicated feeds with machine-readable episode data.

      • PodcastSeries Schema
      • Automated Feeds
      • Edge Functions
      • OG Generation
      Listen →
    • 05

      Founder & General Partner

      LRSVC

      A Florida-based venture firm backing early-stage AI-native companies — products where artificial intelligence is the surface, not a feature. Portfolio companies get direct access to the visibility practice.

      • Venture Capital
      • AI-Native Software
      • Agentic Infrastructure
      lrsvc.com →
    • 06

      Founder · Local Media

      Lake Wales Guide

      A regional publication engineered as an entity-resolution case study: structured local data, machine-readable place entities, and durable citation performance in AI answers and search.

      • Local Entity Data
      • Structured Content
      • SEO / GEO
      • Editorial Ops
      lakewalesguide.com →

    From Ideas to Implementation

    Authorship,
    publication,
    and implementation.

    The frameworks originate with Jason. AI Dive publishes the dated record. BackTier operationalizes the work.

    Jason Todd Wade

    Creates and authors AI Visibility Architecture and related frameworks.

    AI Dive

    Publishes the dated analytical record.

    BackTier

    Operationalizes the frameworks through strategy, publishing systems, evaluations, and authority infrastructure.

    NinjaAI

    A service brand and implementation environment operated by BackTier. Supports implementation, testing, audits, content systems, and selected client deployments.

    LRSVC

    Florida-based venture capital firm where Jason is Founder & General Partner. Backs AI-native companies and agentic commerce infrastructure.

    Florida Slice · Lake Wales Guide

    Independent publishing projects that demonstrate local knowledge, entity architecture, and structured information systems.

    Ventures · LRSVC

    Capital for
    AI-native companies.

    Jason Todd Wade is Founder & General Partner at LRSVC, a Florida-based venture capital firm backing AI-native companies — teams building products where artificial intelligence is the product surface, not a feature bolted onto one.

    The investment thesis follows the same logic as the frameworks: as AI systems move from citation to selection to transaction, the durable companies will be the ones machines can understand, trust, and act through.

    Focus

    AI-native software, agentic commerce infrastructure, and machine-readable data systems.

    Stage

    Early-stage. Founder-led teams shipping into live markets.

    Operating Edge

    Portfolio companies get direct access to AI Visibility Architecture and entity-resolution practice through BackTier.

    Visit LRSVC →

    About Jason Todd Wade

    A Florida-based technology strategist, author, and founder of BackTier.

    Jason Todd Wade’s work focuses on AI Visibility, entity resolution, and agentic commerce. He created AI Visibility Architecture, Entity Lock Protocol™, BackTier Visibility Path™, and Agentic Visibility Path™.

    His perspective is shaped by more than two decades operating digital businesses across ecommerce, marketplaces, search, advertising, and publishing — the basis for treating AI discovery as an information architecture, identity, and distribution problem rather than a content problem.

    Born in Gainesville, Florida, in 1974. Based in Lake Wales, Florida.

    Inquiries

    For selected engagements.

    Selected engagements are handled directly by Jason Todd Wade — AI Visibility strategy, entity-resolution projects, research collaborations, speaking, podcast appearances, and publishing.

    Direct

    email@jasonwade.com
    • AI Visibility engagement
    • Entity-resolution project
    • Agentic commerce strategy
    • Speaking
    • Podcast or media
    • Research collaboration

    All inquiries are reviewed directly.