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KDP keyword tool

Find and fill every keyword a book should target on Amazon.

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 keyword toolAmazon book keyword researchKindle keyword researchbook keyword finder7 keyword slots
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At a glance

Last updated

This page
Research Amazon book keywords, fill the 7 backend keyword slots, and check category fit. A KDP keyword tool built into one publishing pipeline.
What it is
AI publishing software that turns one niche brief into a complete Amazon KDP book package.
Who it is for
Indie publishers, self-published authors and KDP catalog operators who publish repeatedly.
What you get
Full manuscript, front/spine/back cover, KDP title, description and 7 backend keywords, plus a verified pen name.
Time per book
Roughly 30 to 45 minutes of server-side generation. Closing the tab does not lose the book.
Price
EUR 14.99 per week for 6 book credits, or EUR 390 per year for 312 credits. 1 credit = 1 finished book. No free plan.
Agent access
An AI agent can run the whole workflow through the MCP server, the CLI or the REST API.
What it does not do
No guarantee of Amazon rankings, KDP approval or sales. You review every file and publish from your own KDP account with the required AI-content disclosure.

Is this the right fit?

In one sentence: The KDP keyword tool is a research step that drafts a ranked shortlist of search phrases and maps the strongest seven to Amazon's backend keyword fields.

Best for

  • Best for filling all seven KDP backend slots without repeating your title or subtitle.
  • Best for checking that keywords and browse category tell the same story.
  • Best for spotting terms too broad to rank against before you commit a slot.

Not for

  • Not a rank tracker or a sales-volume database — it drafts and ranks candidates.
  • Not automatic: you review and approve the seven slots before anything is published.
  • Not a ranking guarantee — cover, writing, pricing, reviews and demand all matter.

How it differs

  • Unlike a standalone keyword tab, the research runs in the same pipeline that writes the title and description, so the metadata agrees with itself.
  • Search phrases vs single nouns: readers type phrases, and a slot spent on one broad noun is a slot wasted.
  • Guides vs tool: the guides explain how to choose keywords by hand, this drafts the slots for your review.

How do you fill the 7 KDP backend keyword slots?

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.

  • One ranked shortlist mapped to the seven backend fields
  • No wasted words repeating the title or subtitle
  • Search phrases readers actually type, not single nouns
  • Each slot kept inside KDP character limits

How do keywords and categories work together on Amazon?

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.

  • Candidate categories matched to your keyword theme
  • Relevancy checked so terms reflect the actual book
  • Flags for terms too broad to rank against
  • Notes where a niche category beats a crowded one

Why research keywords inside the publishing pipeline?

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.

  • Keywords align with the generated title and description
  • Metadata produced as one set, not stitched together
  • Quality gates check the listing before you export
  • Built for catalog quality, not keyword stuffing

The guides behind this page

Each decision this page automates, explained step by step.

Keywords

Choose the 7 backend keyword slots without wasting one

How to choose KDP keywords: a beginner guide to Amazon book discoverability

Research

Find a niche where readers are already searching

KDP niche and keyword research: find book ideas readers already want

Categories

Pick categories that put the book in front of the right browsers

KDP categories and Amazon Best Seller Rank explained: how to choose categories that sell books

Low-content

Test whether a low-content niche is still worth entering

Low-content books on KDP: what still works, what's saturated and how to compete in 2026

FAQ

Do I approve the keyword list before anything is published?

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.

Will the right keywords guarantee sales or a top ranking?

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.

How is this tool different from your keyword how-to guides?

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.

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