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Get Recommended by AI
#1 Amazon Bestseller in Search Engines and Web Marketing

Get recommended
by AI

5.0 out of 5 from 3 ratings on Amazon

Your customers are asking ChatGPT, Gemini and Perplexity who to buy from. This is the step-by-step system for being the answer they get back.

Every copy includes the digital toolkit and twelve months of visibility tracking. What that means.

AI answer

Who is the best accountant in Manchester for a small business?

Your business
The one it recommends first.
A competitor
Also worth considering.
Another competitor
Mentioned in passing.
3 sources cited
Websites analysed 1,000,000+ The corpus the book is built on.
Of those, AI-Ready 216 0.022% of them, or about 1 in 4,600.
Highest score recorded 86.6 Out of 100. Nobody has reached the top band yet.
The argument

Almost nobody is ready, and that is the opportunity

We analysed 1,000,000+ websites against 250+ signals each. Exactly 216 scored well enough to be recommended reliably by an AI assistant. That is 0.022% of them.

Not one has reached the top band. The highest score recorded anywhere is 86.6 out of 100, which means the standard every business is now judged against is one that nobody has met.

That gap is the whole argument of this book. The work required to be cited by AI is specific, mostly mechanical, and almost entirely undone by your competitors.

Source: SearchScore's corpus of 1,000,000+ analysed websites, current as of 2026-07-27. Method at searchscore.io/methodology.

What is inside

Eight parts, in the order you would do the work

Thirty-six chapters. The three middle parts are the method itself: Foundation, then Extraction, then Reinforcement, in that order, because each one depends on the one before it.

  1. The Shift

    What changed, how an AI actually assembles an answer, and why ranking on Google stopped being the same thing as being recommended.

  2. Diagnose

    Establish a baseline before you change anything, run the competitor replacement test, and read the result honestly.

  3. Foundation

    The mechanical layer. Crawler access for each engine, llms.txt, structured data, entity clarity and a Wikidata entry.

  4. Extraction

    Writing so a machine can lift your answer cleanly and attribute it to you. The five blocks, the perfect page, and query fan-out.

  5. Reinforcement

    Third parties decide what AI believes about you. How to find yours, earn mentions, and become the source of a number.

  6. Track and repair

    Measuring visibility as a rate rather than a single answer, separating noise from drift, and fixing an answer that gets you wrong.

  7. Execute

    The seven-day sprint, the thirty-day plan, the priority matrix, and the agentic shift already underway.

  8. The toolkit

    Every template, checklist, worksheet and file pack, plus the access code that unlocks the digital version.

See every chapter

Included with every copy

The book is the method. These come with it.

See where you stand today

Score your own site against the same 250+ signals used across the whole dataset and get your result back in about a minute. No email needed to run it.

Know what to fix first

Not a list of everything wrong with your site, but what to do and in what order, with a step-by-step guide for each item.

Know whether it worked

Twelve months of tracking. Your site is re-checked every week across 6 AI engines (ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Grok), so you watch your visibility move instead of hoping it did.

Skip the fiddly parts

Annotated robots.txt, llms.txt and JSON-LD blocks written for you, five content templates, a thirty-prompt query bank, four worksheets and two Notion trackers.

How to claim the toolkit

What readers say

Early reviews

5.0 out of 5 from 3 ratings on Amazon

Every review below is a verified Amazon purchase. Three ratings is a small sample, so they are reproduced in full rather than trimmed to the flattering line.

Really easy to follow and actually useful

It explains AI search and rankings in simple English and gives you practical things you can do to help your company get found by the main AI search engines and ranked higher recommended more often. The free tools are a great bonus too! Overall, I think this book is a hidden Gem for business owners and I was able to get results surprisingly quickly. Would highly recommend

Steve B · verified purchase · 22 August 2026

must-read for anyone wanting to understand AI search

Really enjoyed this book. It's an easy read and does a great job of explaining how AI is changing the way people search for and choose businesses. Some really useful ideas in here, especially if you're involved in marketing or running a business. Definitely made me think differently about where search is heading. Well worth a read.

Bsads · verified purchase · 16 August 2026

A really useful guide to ai search

Really useful and easy to read. It gave me a much better understanding of how businesses can get found and recommended by tools like chatgpt and gemini, with plenty of practical ideas rather than just theory. Definitely worth a read.

Alex Taylor · verified purchase · 17 August 2026

All reviews

From the author
I wrote this because I kept giving the same answer. Someone would show me a site that ranked perfectly well and ask why ChatGPT had never heard of them, and it was almost always the same three things in the same order. It felt daft to keep saying it one client at a time. Ronnie Huss

About Ronnie Huss

Questions

Before you buy

Who is this book for?

Owners and marketers at businesses that get found through search and have noticed that traffic changing shape. It assumes no technical background. Where a job needs a developer, the book says so and gives you the exact instruction to hand over.

Do I need to buy anything else to use it?

No. The method works with a text editor and your website's admin. Every copy also comes with the digital toolkit and twelve months of tracking at no extra cost, unlocked with the access code printed inside Part 8.

Is this just SEO with a new name?

It overlaps and it is not the same job. Traditional SEO competes for a position in a list of links. This competes to be the source an AI uses when it writes one answer and cites three places. Chapter 2 sets out the mechanism, and Chapter 4 explains why a site can rank well on Google and still never be mentioned by ChatGPT.

How current is it?

It published on 13 August 2026. AI search moves faster than print, so the references and any figures that have shifted since are maintained online at searchscore.io/the-book/updates.

Which format should I buy?

The Kindle edition is the cheapest way in and the links inside it are tappable. The paperback and hardcover are the ones people mark up, and both run to 219 pages at 6 by 9 inches. Every edition carries the same access code.

What is GEO?

Generative Engine Optimisation: the work of making a brand more likely to be selected and cited in an AI-generated answer. The term comes from the field's founding academic paper (Aggarwal et al., KDD 2024). The glossary defines it alongside the rest of the vocabulary.

More questions about the book

Read a chapter first

Chapter 2 explains how an AI assembles an answer and decides who to name. It is the chapter the rest of the book is built on. Send it to yourself and see whether the argument holds.

Get the free chapter Or buy the book