Amazon keywords
Title-specific research and keyword sets for frontlist and backlist books, with supporting search visibility reports.
Explore keyword services →Book discovery intelligence for publishers
Make your books easier to find in Amazon search and AI answers.
Kadaxis helps publishers connect books with readers through Amazon keyword research, AI discovery intelligence, and practical AI advice.
Across thousands of books, Kadaxis-built keywords average about 40% visibility in the first two pages of Amazon Books results. Our research found about 8% for publisher-assigned keywords. Read the study.
Example reader queries: psychological thriller with unreliable narrator; grief memoir for book clubs; middle grade fantasy school adventure; practical leadership workbook; slow burn historical romance.
Work with Kadaxis
From reader questions to book discovery.
catalogue language adult fiction / suspense / literary
reader language unreliable narrator, slow-burn psychological thriller, book-club twist ending
retailer field specific query paths, weighted and ordered for discovery
Chris was CTO at Bookish, where he built book search and recommendation systems, and later a venture CTO at BCG X, where he was recognized as one of the firm's global topic leaders in generative AI.
Kadaxis was named FutureBook BookTech Company of the Year and contributed to BISG's 2018 keywords best-practices standard.
Publishers we have worked with include Penguin Random House, HarperCollins, Hachette UK, Workman, and Sourcebooks.
See selected publishers →Research
Studies on how readers find books in Amazon search and AI tools. Read the findings, examine the methods, and explore the questions publishers ask.
RESEARCH Where AI book recommendations come from
Publisher websites appeared in three quarters of the ChatGPT source lists we examined. Our study of 27,702 answers to reader requests looks beyond the familiar website names to the book descriptions, reading guides and other pages that surfaced, and what publishers can learn from them.
RESEARCHGEO and AEO for publishers: Matching books to reader needs
Reviews show why readers choose a book and how they use it. Connecting those insights with customer demand and ChatGPT’s recommendations helps you decide what to explain in your descriptions, which material to share, and where to publish it so the right readers can discover your books.
FOUNDATIONS How books show up in ChatGPT and AI search
To improve a book’s visibility in ChatGPT and AI search, publishers need to understand what informs an answer and which components they can influence.
RESEARCH Should Book Keywords Be Single Words or Search Phrases?
We conducted a study that found natural reader-search phrases made far better use of limited keyword space than tag-based single-word keywords. Search phrases produce substantially more visibility when searched directly or in expanded search forms.
Discuss discovery for your list.
Send Chris a message about your publisher, your titles, or the question your team is considering. We will reply directly and arrange a conversation when useful.
Talk to Chris →