The free book discovery audit
Can readers find your book?
In about a minute we check the three places readers find books: your Amazon page, the AI assistants they ask, and the rest of the web. Then we write the fixes.
Read like a shopper. Asked like a reader.
We read every part of your Amazon page, ask ChatGPT, Claude and Gemini the questions real readers ask, and find the sites readers and AI trust for books like yours.
Every gap, in order of payoff.
A score out of 100 from fixed rules, the three fixes worth most, and every word written for you to paste.
Four places a reader meets your book
One score out of 100 from fixed rules: the same answers and the same page always give the same score.
What AI assistants say
We ask ChatGPT, Claude and Gemini what a reader would ask (ChatGPT and Claude search the web live) and record whether your book comes up and who is named instead. 30 points for being recommended, 10 for being known when asked by name.
40 points
Your Amazon page
Title words, description, A+ panels, ratings and what reviews say, categories, cover at thumbnail size, price. Read the way a shopper reads it.
30 points
Around the web
Goodreads, Wikidata, Wikipedia, YouTube, Reddit, your own site, and the sites AI cites most for your genre.
20 points
Formats
Kindle, paperback, hardcover, audiobook. Each one is another way to be found.
10 points
A real report, on a real book
google.panic.repeat by Robert Prime. A decent Amazon page, but in 72 answers to readers the assistants named it only twice.
Open the full report3%of AI answers name it (2 of 72) · Book Score 48/100
Asked for self-help books about health anxiety, the assistants named Overcoming Health Anxiety by David Veale and Rob Willson instead, in 23 answers.
The AI Shelf · this week
The books AI is recommending right now
Every week we ask ChatGPT, Claude and Gemini the same reader questions in each genre and chart the books they name.
- Psychological thrillers
- 1Gone GirlGillian Flynn43%
- 2The Silent PatientAlex Michaelides38%
- 3The Girl on the TrainPaula Hawkins29%
- Crime thrillers
- 1Gone GirlGillian Flynn32%
- 2In the WoodsTana French21%
- 3The Girl with the Dragon TattooStieg Larsson21%
- Romantasy novels
- 1A Court of Thorns and Roses (ACOTAR)Sarah J. Maas32%
- 2From Blood and AshJennifer L. Armentrout28%
- 3Fourth Wing (The Empyrean series)Rebecca Yarros25%
Then we write the fixes
In the full report, with every place to get onto and the books AI picks instead.
A new description
Written from your own book, inside Amazon's rules, ready to paste.
Seven keywords and three categories
The words readers type, and closer shelves where you can rank.
Five A+ panels
Headline, words and a picture brief for each.
Your bio, short and long
Built from what you have already said. Gaps are marked, never invented.
The book code for your website
So search engines and AI know the page is about your book.
Who to pitch, and how
The sites the assistants read for your genre, with how to get in touch and a note to send.
Honest by design
- We never log in to your Amazon or KDP account. You paste the fixes yourself.
- On Amazon we read public pages only: your book, and in the full report the three books AI picks instead.
- We never invent praise. No awards, quotes or numbers that aren't already yours.
- A score is a diagnosis, not a promise. Nobody can guarantee sales or rankings, and we won't.
- Amazon's rules come from Amazon's own pages, checked and dated, not from memory.