publishing.co.uk

Course · self-paced · 10 modules · built on our live index

Does AI recommend your book? Learn to make it.

The first complete course on getting your book discovered and recommended by ChatGPT, Claude, Gemini, Perplexity and Amazon Rufus. Built on our index of 141,282 AI citations (July 2026 snapshot) — not theory, data.

By Robert Prime · ALLi members get 20% discount · 30-day guarantee

The evidence · why this matters now

Readers are asking machines what to read next.

As of July 2026, our AI Book Discoverability Index has logged 141,282 citations across 981 audited books in 16 genres. The data is clear: AI engines do recommend books — and the sources they cite are not what most authors expect. Amazon ranks 14th. Reddit ranks below 1%. Goodreads and Wikipedia dominate.

141,282AI citations logged
981books audited
16genres tracked
5engines tested: ChatGPT, Claude, Gemini, Perplexity, Rufus

Inside the course · 10 modules, 39 lessons, 14 templates

Everything we know about AI book discovery. Structured.

Each module takes you from understanding to action. The 14 copy-paste templates mean you don't need to be technical — follow the steps, fill in the blanks, and the work is done.

39lessons
14copy-paste templates
90day action plan
lifetime access + 12 months updates

Full curriculum · 10 modules

The complete module breakdown.

Module 01

How AI recommends books

1.1How ChatGPT, Claude, Gemini and Perplexity generate recommendations
1.2Where the data comes from — training data vs live retrieval
1.3Why Amazon Rufus changes everything for KDP authors
1.4The citation chain: how a source becomes a recommendation
Module 02

Your AI Visibility Audit

2.1Run the free check — what the engines say about your book right now
2.2Reading your audit results — scores, axes, competitive set
2.3Building your fix list from the audit data
Module 03

Metadata, ISBNs & classification

3.1Why metadata is the first thing AI reads
3.2BISAC vs Thema codes — and why both matter for AI
3.3ISBN registration and metadata propagation
3.4Template: the complete metadata checklist
Module 04

Amazon Rufus & Alexa

4.1How Rufus reads your listing — title, bullets, A+ Content
4.2Writing for Rufus: the listing rewrite framework
4.3Backend keywords that Rufus can see
4.4Template: Rufus-optimised listing structure
Module 05

Goodreads, StoryGraph, BookBub & Wikipedia

5.1Why Goodreads is the #1 source AI cites for book recommendations
5.2Optimising your Goodreads author profile and book page
5.3StoryGraph and BookBub — the citation amplifiers
5.4Wikipedia: when and how to create an article (and when not to)
5.5Template: the platform checklist
Module 06

Your author website

6.1Why your website is the only thing you fully control
6.2JSON-LD structured data for books and authors
6.3llms.txt — the new robots.txt for AI crawlers
6.4Content architecture that AI can parse
6.5Templates: JSON-LD snippets + llms.txt + sitemap
Module 07

Reddit, YouTube & press

7.1Reddit: how AI uses r/booksuggestions and r/fantasy
7.2YouTube: BookTube, author interviews, and transcript indexing
7.3Press and media citations — quality over quantity
7.4Template: the outreach pitch that earns citations
7.5Template: the cold outreach email
Module 08

Entity building

8.1What an "entity" is and why AI needs one for your book
8.2Wikidata: creating your book and author entries
8.3Google Knowledge Panel — the signals that trigger it
Module 09

The 90-day measurement system

9.1Setting your baseline — the audit at day 0
9.2Week-by-week action plan
9.3Re-audit at day 30, 60, 90
9.4Template: the 90-day tracker spreadsheet
Module 10

Staying current

10.1How the course updates as AI changes
10.2The publishing.co.uk AI Lab — your ongoing data source

Pricing · two tiers

Choose your level.

ALLi members get 20% evergreen discount on both tiers. Previous £29.99 AI Discovery Audit purchasers get £30 credit toward either tier. 30-day guarantee: full refund if Module 2's audit doesn't provide a clear, evidence-based plan.

What this is not · honest positioning

No ranking promises — ever.

This course teaches you how AI book discovery works and gives you a structured system to improve your visibility. It does not promise rankings, sales numbers, or guaranteed placement. AI recommendation systems change frequently — what we provide is the data, the method, and the tools to measure whether the work is moving the needle.

What you get: Evidence-based understanding of what AI engines cite, a structured 90-day plan, copy-paste templates, and the ability to measure your progress with re-audits.

What you don't get: Guarantees of any specific ranking, sales number, or AI placement. Anyone promising you #1 in ChatGPT recommendations is selling something we're not.

Questions

Before you decide.

Do I need technical skills?

No. The 14 templates are copy-paste — you fill in the blanks. For the more technical steps (JSON-LD, llms.txt), we provide the exact code and show you where to paste it. If you can edit a WordPress page, you can do this.

My book isn't on Amazon yet — is this too early?

No — Module 3 (metadata) and Module 4 (Rufus) are most powerful before you publish. Setting up your metadata, classification, and listing structure correctly from day one is far easier than retrofitting it later.

What's the difference between the free AI check and this course?

The free check tests 2 of 5 engines and gives you a score. The course teaches you why the score is what it is, what to do about it, and how to track improvement over 90 days — with 39 lessons, 14 templates, and the full index data behind each recommendation.

How often is the course updated?

Continuously. AI engines change their retrieval methods frequently — when they do, we update the affected lessons and templates. Core tier includes 12 months of updates; after that, the course content you have remains yours forever, but new updates may require a renewal.

What's the 30-day guarantee?

Complete Module 2 (Your AI Visibility Audit). If the audit doesn't give you a clear, evidence-based action plan for your book, email us within 30 days for a full refund. We call it the "do the audit" guarantee — you have to actually do the work, not just skim the videos.

AI already recommends books. Make sure it recommends yours.

10 modules. 39 lessons. 14 templates. Built on 141,282 real citations, not theory. Core £149 / Premium £249.

Or explore the other course: Sell More Books — £197 →

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