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.

Talk to Chris Read the research
How often a keyword brings its book up on the first two pages of Amazon Books results

Keywords publishers assign

8%

Keywords Kadaxis builds

40%

The publisher figure comes from 248,046 keywords across 24,367 books; ours is the average across thousands of books. Both are approximate and measure search visibility. Read the study

From reader questions to book discovery

Amazon keywords

Title-specific research and keyword sets for frontlist and backlist books, with supporting search visibility reports.

Explore keyword services

AI discovery (GEO)

Understand how your books appear in AI answers, which sources and competing titles surface, and what to improve.

Explore AI discovery (GEO)

AI consulting

Practical advice for publishing leaders considering AI workflows, internal tools, and vendor decisions.

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  1. Catalogue languageadult fiction / suspense / literary
  2. Reader languageunreliable narrator, slow-burn psychological thriller, book-club twist ending
  3. Retailer fieldspecific query paths, weighted and ordered for discovery

Led by Chris Sim

About Chris and Kadaxis
Bookish
Chris was CTO, where he built book search and recommendation systems.
BCG X
Later a venture CTO, where he was recognized as one of the firm's global topic leaders in generative AI.
FutureBook
Kadaxis was named BookTech Company of the Year.
BISG
Kadaxis contributed to BISG's 2018 keywords best-practices standard.

Publishers we have worked with include

  • Penguin Random House
  • HarperCollins
  • Hachette UK
  • Workman
  • Sourcebooks

See selected publishers Join Chris at BISG's book discovery webinar on November 19.

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.

  1. AI discovery

    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.

    75.6% of source lists for 27,702 ChatGPT answers included a publisher website

    Source-list appearances in 27,702 answers: retailer (e.g. Barnes & Noble, Kobo) 81.0%; reader community (e.g. Reddit, Goodreads) 77.6%; editorial and review (e.g. Book Riot, Kirkus Reviews) 77.1%; publisher 75.6%; book summary or discovery service 52.9%; reference 39.0%; library 17.0%; institutional 11.5%.

  2. AI discovery

    GEO 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.

    Four reader requests, each asked in ChatGPT three times without naming the book or its author. Explaining the main types of dementia plainly, and what each means for family care: The Dementia Caregiver was named in all three answers, first in two. A short starter for the first week after a diagnosis: not named; ChatGPT recommended other introductory guides and parts of broader references. Portable checklists for daily care: not named; it recommended books with checklists and forms, the same two books in all three answers. Questions to take to appointments: not named; it recommended question-focused books and free appointment guides.

  3. AI discovery

    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.

    A language model combines knowledge learned during training with information found now and the conversation to generate an answer for the user.

  4. Amazon search

    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.

    41.8% of phrase searches returned the book, compared with 2.3% for mostly single-word keywords

    Three-panel summary showing search phrases far ahead when searched exactly, across expansion searches, and across the complete keyword record.
Explore all research

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