No cover published
HEAL: What We Need Now
A Fictional Biography of Alan Mathison — an openly labeled story about a 2028 candidate who never existed.
- Published
- October 2026
- Format
- EPUB (free 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
- Fictional biography, AI visibility, Entity resolution, Provenance, Candidate verification
An AI-assisted fictional biography, conceived and directed by Jason T Wade. Alan Mathison is an AI-created fictional character — his 2028 campaign, military service, family, photographs, and polling artifacts are invented, and the book says so on the cover, in the title, and at the opening of every chapter. The book is a narrative experiment in AI visibility and entity resolution: will an AI assistant preserve the published fact that Mathison never existed when it retrieves and cites pieces of his story? Eleven chapters plus a separate nonfiction companion, Appendix A — Candidate Verification Protocol. No measured AI-assistant outcome is claimed.
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.
No cover published
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.