Out now
Get Recommended by AI
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, built on what we learned analysing 1,000,000+ websites.
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Every copy includes the toolkit and twelve months of tracking.
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 AI assistants. That is 0.022% of them, or about 1 in 4,600.
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 being judged against is one that nobody has met yet.
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.
What comes with the book
The book is the method. These come with it, free, using the access code printed inside Part 8.
✓ Twelve months of AI visibility tracking
See how often you are mentioned across 6 AI engines: ChatGPT, Claude, Gemini, DeepSeek, Grok, Perplexity. Paid plans add live web grounding and a larger question set, from £20/mo.
✓ A free diagnosis of your own site
Run the audit at searchscore.io and get your GEO, SEO and CRO scores against the same 250+ signals used across the whole dataset. No email required to run it.
✓ Your prioritised fix list
The audit returns what to fix and in what order, with a step-by-step guide for each item. You can hand the list to a developer or work through it yourself.
✓ The ready-to-paste toolkit
An annotated robots.txt, an llms.txt, JSON-LD schema blocks, five content templates, a thirty-prompt query bank, four worksheets and two trackers for Notion or any spreadsheet.
Track your progress over time rather than guessing. Every improvement you make shows up as a score you can point at, which is usually the difference between the work getting signed off and the work getting dropped.
What is inside
Eight parts, in the order you would actually do the work.
- The Shift. What changed, what the data shows, and why ranking on Google no longer means being recommended.
- Diagnose. Score your own site, read the result honestly, and find where you are losing the answer.
- Foundation. The mechanical work: crawlability for AI, structured data, and the technical basics most sites fail.
- Extraction. Writing so that an AI can lift your answer cleanly and attribute it to you.
- Reinforcement. Third-party sources decide what AI believes about you. How to find yours and get into them.
- Track & Repair. Measuring visibility properly, spotting drift, and fixing what slips.
- Execute. The ninety-day sequence, who does what, and how to keep it moving.
- Toolkit. Every template, checklist and worksheet, plus your access code.
Who it is for
Owners and marketers at businesses that get found through search and are watching that traffic change shape. It assumes no technical background, but it does not water down the technical work: where something needs a developer, it says so and gives you the exact instruction to hand over.
If you already rank well on Google and cannot work out why AI never mentions you, Part 2 will probably tell you within an hour.
Formats
| Edition | Price | Notes |
|---|---|---|
| Kindle | £1.99 | Launch price. Reflowable, so it reads on any Kindle device or app. |
| Paperback | £16.99 | 219 pages, 6 x 9 in. Available shortly. |
| Hardcover | £26.99 | 219 pages, 6 x 9 in, matte case laminate. |
Every edition carries the same access code, so the toolkit and the twelve months of tracking come with whichever you choose.
Get your copy
Available now in Kindle and hardcover. The paperback follows shortly.
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About the author
Ronnie Huss is the founder of SearchScore.io, the optimisation consultancy that publishes its own data. The scoring system in this book is the one running in production behind every audit on the site, and the figures quoted throughout come from the same corpus of 1,000,000+ analysed websites.
Figures current as of 2026-07-27. The book's references, and any corrections since printing, are maintained at searchscore.io/book/updates.