KDP keyword tool
Research Kindle and print keywords, then place the strongest seven in the backend slots that KDP gives you. Category fit is checked alongside, so the metadata reads as one coherent listing.
KDP gives you seven backend keyword fields, and each one should earn its place. The tool drafts candidates, removes overlap with your title and subtitle, and fits the strongest terms into the slots that count.
Keywords and categories work as a pair on Amazon. The tool reviews your shortlist against likely browse categories so the listing stays relevant rather than scattered across unrelated shelves.
Keyword research is not a separate tab here. It runs inside the same controlled pipeline that produces the manuscript, cover, and the rest of the metadata, so everything points the same direction.
It produces a ranked shortlist mapped to the seven backend fields, trimmed to fit KDP character limits. You review and approve the final selection before anything is published.
No. Good keyword choice helps the right readers discover your book, but it does not guarantee sales or rankings. Cover, writing, pricing, reviews, and demand all play a part.
The guides explain how to choose KDP keywords by hand. This is the tool that does the research and drafts the slots inside the publishing pipeline, ready for your review.
KDP royalty calculator
AI publishing software
AI book cover generator
Book description generator
Book title generator
AI book generator
Sudowrite alternative
Atticus alternative