Published work

Books by Jason T Wade

Published titles on AI visibility, with publication details and a retailer link for each so the record can be checked independently. Definitions used in these books are maintained on the glossary, and the measurement approach is documented in the AI Visibility Index methodology.

AI Visibility: How to Win in the Age of Search, Chat & Smart Customers

A field guide to making an entity discoverable, understandable, citable, and selectable by AI systems.

Published: August 2025
Format: Kindle edition
ASIN: B0FM1RCQPC
ISBN: None assigned — Kindle and web editions are identified by ASIN or URL, not ISBN
Topics: Generative Engine Optimization, Answer Engine Optimization, Entity engineering, Structured evidence, AI-friendly site architecture

Written for operators rather than search specialists, the book covers how generative systems assemble an answer, why entity clarity decides whether a brand is described at all, and how to build the structured evidence, retrievable content, and third-party corroboration those systems draw on. It treats Generative Engine Optimization and Answer Engine Optimization as measurement problems first: define the questions your buyers ask, record how each platform answers them today, then change the evidence and re-measure.

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Content and AI Visibility

Published: Not stated on the linked edition
Format: Web edition
ASIN: None — not sold through a retailer
ISBN: None assigned — Kindle and web editions are identified by ASIN or URL, not ISBN
Topics: Retrieval, Entity resolution, Decision-layer insertion

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.

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The Ouroboros Prompt

Published: Not stated on the linked edition
Format: Web edition
ASIN: None — not sold through a retailer
ISBN: None assigned — Kindle and web editions are identified by ASIN or URL, not ISBN
Topics: Prompt systems, Model behavior

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.

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Vibe Coding Manifesto

Published: Not stated on the linked edition
Format: Web edition
ASIN: None — not sold through a retailer
ISBN: None assigned — Kindle and web editions are identified by ASIN or URL, not ISBN
Topics: AI-assisted development, Systems architecture

A manifesto on building software in collaboration with AI. Frames the developer as a systems architect aligning intent, model behavior, and output.

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AI Visibility V1

Published: Not stated on the linked edition
Format: Web edition
ASIN: None — not sold through a retailer
ISBN: None assigned — Kindle and web editions are identified by ASIN or URL, not ISBN
Topics: AIV Framework, Generative Engine Optimization

The original publication of the AIV Framework. Defines the shift from search rankings to inclusion inside machine-generated outputs.

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AI Visibility V2 — Operator Edition

Published: Not stated on the linked edition
Format: Web edition
ASIN: None — not sold through a retailer
ISBN: None assigned — Kindle and web editions are identified by ASIN or URL, not ISBN
Topics: Retrieval, Entity resolution, Decision-layer insertion

The practitioner's playbook for deploying AI Visibility systems across retrieval, entity resolution, and decision-layer insertion.

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Publication details are taken from the retailer listing linked on each entry. If a detail here is wrong, tell us through the corrections process and we will log the change.