publishing.co.uk

Course · self-paced · 10 modules · built on our AI research

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, founder of publishing.co.uk & co-owner of LoveReading · £149 (about $201) · lifetime access · 30-day no-questions refund

The evidence · why this matters now

Readers are asking machines what to read next.

Our July 2026 citation study logged 141,282 citations across 981 books in 16 genres, and the weekly AI Shelf keeps measuring. 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 Wikipedia and Goodreads are the two sources AI cites most
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 emerging AI-crawler file, and what it can and can't do
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. Bought our earlier £29.99 AI audit? Your £30 credit still applies to either tier. 30-day guarantee: full refund, no questions asked. Our AI-discoverability work was featured on the Alliance of Independent Authors podcast.

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 Book Score and this course?

Book Score, the free check, asks ChatGPT, Claude and Gemini about your book and gives you a score out of 100 with your first three fixes; its £49 full report writes the fixes for you. 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 research 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?

Simple: if the course isn’t for you, email us within 30 days of purchase and we’ll refund you in full. No conditions, no questions. After 30 days there are no refunds, but you keep lifetime access to everything you bought.

AI already recommends books. Make sure it recommends yours.

10 modules. 39 lessons. 14 templates. Built on 141,282 real citations, not theory. Course £149, or £249 done for you.

Or explore the other course: Sell More Books — £347 →

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