See which keywords are worth targeting before you publish.
Kindlefish dives deep into the Amazon ocean and surfaces the high-opportunity keywords, categories, and competitor data you can't see from the surface.
Illustration — run a search for current, labelled data
Cast → Dive → Surface
Three steps from a vague book idea to a research-backed keyword shortlist.
Cast
Type a book idea, a topic, or even a competitor's title. No setup, no spreadsheets — just cast a line into the water.
Dive
Kindlefish dives into live Amazon data — real search volume, competition, and what's already ranking in your niche.
Surface
You surface the keywords worth chasing, each with a clear confidence label. Save, export, and decide for yourself.
Everything you need to find your book's audience
A clean, data-first workspace. The brand world recedes — the data leads.
Keyword research
Amazon search-demand signals, competition context, and launch-fit guidance for any phrase, with every figure confidence-labelled.
Open toolCompetition analysis
See the books already ranking: BSR, reviews, price, and sales-velocity bands so you know what you're up against.
Open toolCategory & BISAC finder
Find categories where your book can realistically rank, with the sales needed to hit the top spots.
Open toolAmazon Ads keywords
Targeted keyword + match-type starting points with real ad-bid ranges from licensed Amazon advertising data.
Open toolReverse-ASIN
Enter any competitor's book and surface the keywords and similar titles it's connected to.
Open toolLearn the workflow before you run the tool
Short, practical pages for the decisions KDP authors make most: keywords, categories, ads, competitors, and metadata.
KDP Keyword Tool
Amazon book keyword research with demand, competition context, and confidence labels.
Read guideKDP Category Finder
Compare KDP category fit, ranking difficulty, and BISAC context before publishing.
Read guideAmazon Ads Keywords for KDP
Keyword starting points, match-type guidance, bid context, and caveats for book ads.
Read guideReverse ASIN Research for Books
Inspect competitor-book context, connected keywords, similar titles, and positioning signals.
Read guideKDP Competition Analysis
Review visible competitors, category context, price bands, and launch-positioning signals.
Read guideKDP Book Metadata Checklist
A practical launch checklist for KDP keywords, categories, description, and ad targets.
Read guideLet Fee dive deep and do the legwork for you.
Talk through your book with Fee, attach your manuscript when it helps, and agree the plan before generating a complete research package — saved to your account and emailed separately.
- 7 KDP backend keywords chosen for reach and rankability
- Keyword-integrated description ready to review and paste into KDP
- Recommended categories where your book can realistically rank
- Amazon Ads starter pack of targeted keywords + match types
Fee delivers research and a package you finalise.
Every figure, traced to its source
No fabricated ratings, no invented bestseller claims — just labelled data you can sanity-check. Each figure shows the signal behind it and how confident we are.
Before you dive in
Yes. Searches run against live Amazon data and a large licensed book index, blended with licensed search-volume data and Amazon-derived demand signals. Every figure carries a confidence level, and weaker signals are clearly labelled — we never present a number as a guarantee.
No. You get 3 preview searches with no card. Create a free account for 15 searches a month, and upgrade only if you want unlimited research.
No tool honestly can. Kindlefish surfaces researched starting points — keywords, categories, and competitor data — that you review and adjust. The decisions, and the outcomes, are yours.