The book

The book on how AI answer engines choose who to recommend.

How ChatGPT, Gemini and Perplexity decide which brands to mention, and the work of earning that for yours.

Buy the book$79.99

Instant download. PDF, workbook and script. 124 pages.

The AI Visibility Bible, front cover: a beam of light passing through four glass layers

Seventeen chapters, in the order you would do the work.

  1. Part 1Chapters 1 to 5

    The new way people search

    How discovery moved from typed keywords and blue links to conversational questions and one written answer. What an AI answer engine actually is, the major engines and how they differ, what carries over from SEO, and why it matters for any business.

    • How People Find Things Now
    • What an AI Answer Engine Actually Is
    • Meet the Engines
    • SEO, AEO and GEO: What's the Same, What's New
    • Why This Matters for Your Business
  2. Part 2Chapters 6 to 9

    How engines decide who to recommend

    The layered framework behind every fix in the book. The difference between being mentioned, cited, recommended and first-named, where an answer actually comes from, and how to read the evidence to find who an engine already trusts in your category.

    • The Four Layers of AI Visibility
    • Mention, Citation, Recommendation, and First-Named
    • Where the Answers Actually Come From
    • Reading the Evidence: Finding Who Engines Trust in Your Category
  3. Part 3Chapters 10 to 17

    The complete toolkit

    The practical work, in the order you would do it. Technical access, entity and brand facts, citable content, third-party presence, measurement, attribution, a diagnostic method for turning a measurement into a fix plan, and the tools and costs of doing it.

    • Technical Access: Can the Engines Read You?
    • Entity and Brand Facts
    • Citable Content: Pages an Engine Can Quote
    • Third-Party Presence: The Source Layer
    • Measuring AI Visibility
    • Analytics and Attribution: Proving the ROI
    • Diagnosis and the Fix Plan
    • Tools, Costs and the Measurement Stack

Then three appendices: the 13 templates, the sources behind every research-backed claim, and a glossary.

Six pages from inside.

Rendered from the book as it ships, so you can judge the writing and the diagrams before you buy.

Appendix A, the templates, as printed in the book

It comes with the sheets, not just the method.

Appendix A holds 13 fill-in templates: brand intake, brand-fact sheet, prompt-set sheet, sweep record, scoring sheet, hypothesis row, failure-mode worksheet, technical access checklist, citable-page checklist, footprint sort, analytics setup, monthly report and the first 90 days. The download includes an 18-sheet workbook built from them, for Excel or Google Sheets, with a prompt-set generator, a sweep log and a scorecard with charts. A small script for running the sweeps through the engines' APIs is included for anyone who wants to automate the measuring.

Templates
13
Workbook sheets
18
Pages
124

Every claim says what kind of claim it is.

Four small labels run through the book so you can see what sits behind each statement, and Appendix B lists every research-backed source with a date and a link.

Research-backed
An external, published source exists for this claim. Every one is listed in Appendix B, so you can check it yourself.
Observed pattern
A real measurement from practitioner audits of brands that cannot be named. The shape is real; the figures are rounded.
Worked example
Invented figures, used only to show arithmetic or the shape of a situation. Nothing in a worked example is a measurement.
Emerging practice
A reasoned approach that practitioners use and that has not yet been proven by published research. Expect it to change.

One edition. Everything included.

  • The book, 124 pages, as a PDF with clickable contents and bookmarks
  • The 18-sheet AI Visibility Toolkit workbook, for Excel or Google Sheets
  • The measurement script, with its own README
  • Instant download after payment, and a copy kept in your Gumroad library

$79.99

One-time payment, in US dollars

Buy the book$79.99
  • Sold through Gumroad, which handles payment and any sales tax or VAT for your country.
  • All sales are final. This is a digital download delivered immediately, so there are no refunds.
  • The book teaches a method for finding, diagnosing, fixing and measuring your own AI visibility. It does not promise that any engine will mention or recommend you. Nobody can promise that.

Questions

Who is the book for?

Anyone responsible for a brand or a website that needs to be found: business owners, marketers, freelancers, agency people. It is written so that a reader with no marketing or technical background can follow it and use it, and it stays useful for someone who has done SEO for years.

Which engines does it cover?

ChatGPT, Gemini, Perplexity, Claude, Copilot, and Google's AI Overviews and AI Mode. Chapter 3 explains how each one builds its answer and how they differ, and the method in Part 3 is written to work across all of them.

Is it about India, or any market?

Any market. The book is a global edition: the method names the market in every prompt, so it applies wherever your buyers are. AccessAegis's own case studies and research on this site are Indian; the book is not.

What format is it?

A PDF, 124 pages, with clickable contents and bookmarks, plus an Excel workbook that also opens in Google Sheets, and a small Python script. Everything downloads immediately after payment.

Can I get a refund?

No. It is a digital download delivered the moment you pay, so all sales are final. The six pages on this page are from the actual book, so you can judge the writing before you buy.

Who wrote it?

The book is published by AccessAegis without an author name. It is the method the agency uses, written down in full.

Rather have it done for you?

Fifteen minutes. We run ten of your buyers' questions live and you leave with the baseline, whether or not we work together.

Or write to [email protected]