Amazon KDP Keyword & Category Research Intelligence Agent

Manual keyword research for Kindle Direct Publishing is slow and often relies on guesswork or expensive tools that hide their logic. This skill provides a structured framework for authors and publishers to identify, validate, and prioritize KDP metadata based on actual book content and reader intent. It moves beyond simple word lists to deliver a data-informed discoverability strategy.

What it does

• Book positioning generates a reader-focused positioning statement based on genre, premise, and target audience.
• Keyword discovery builds a comprehensive bank of core, long-tail, and audience-specific terms across eight distinct categories.
• Strategic scoring evaluates every phrase for relevance, intent, and specificity using a weighted 1-5 scoring system.
• Category mapping identifies accurate Amazon browse paths that align with KDP policy and book content.
• Metadata planning maps prioritized keywords into the specific seven-slot format required by the KDP dashboard.

How it works

1. Intake where the agent analyzes your title, description, or manuscript to define the core reader promise.
2. Expansion where it generates seed terms and expands them into long-tail phrases and synonyms.
3. Evaluation where candidates are scored against a weighted rubric to separate high-priority terms from weak ones.
4. Execution where the agent delivers a finalized KDP Slot Plan and Category Shortlist.

Frameworks & tools

This skill is designed for the Amazon Kindle Direct Publishing (KDP) ecosystem. It uses structured research tables, KDP-specific metadata field limits, and qualitative marketplace analysis.

Why this beats prompting it yourself

Generic prompts often result in keyword stuffing or irrelevant terms that can flag your account. This skill enforces strict KDP policy compliance and uses a multi-dimensional scoring rubric to ensure every recommended term is actually relevant to the book's content.

Use cases

• New Book Launch to build a metadata foundation from a draft manuscript.
• Listing Optimization to refresh stagnant titles with better-performing long-tail phrases.
• Category Research to find precise browse paths that improve organic discoverability.
• Marketplace Localization to adapt metadata for specific regions like UK, DE, or FR.

Known limitations

Does not provide internal Amazon search volume or sales data. Recommendations are strategic hypotheses based on marketplace evidence. Users must verify final keyword choices against current KDP terms of service.