kdp metadata listing safeguard optimizer
Generates policy-compliant KDP metadata, backend keywords, and listing strategies to maximize book visibility and sales.
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See it in action
You say
I am launching a 200-page productivity book for burnt-out remote workers. The title is 'Focus Flow'. I need a full KDP metadata strategy including keywords and categories.
Your agent does
# KDP Metadata & Listing Strategy **Book:** Focus Flow ## 1. Positioning Statement For remote professionals who struggle with burnout, Focus Flow provides a sustainable productivity framework by integrating deep work cycles with nervous system regulation. ## 2. Title & Subtitle - Option A: Focus Flow: A Remote Worker's Guide to Sustainable Productivity and Burnout Recovery - Option B: Focus Flow: Deep Work Strategies for Distributed Teams to Reclaim Time and Energy [Rationale: Option A targets 'burnout recovery' high-volume search; Option B targets 'distributed teams' niche.] ## 3. Backend Keywords 1. remote work burnout relief strategies 2. deep work for home office professionals 3. sustainable productivity habits for adults 4. time management for digital nomads 5. mental focus exercises for work from home 6. executive function tools for professionals 7. nervous system regulation for productivity ## 4. Categories - Primary: Business & Money > Time Management - Secondary: Self-Help > Stress Management [Strategy continues with Description, A+ Ideas, and Pricing...]
What you get
About this skill
The problem
Self-publishing on Amazon KDP is a minefield of strict metadata policies and hidden ranking factors. A single prohibited word in your subtitle or a misused keyword can result in account suspension or suppressed visibility.
What it does
- Generates three tiered title and subtitle options that balance keyword density with Amazon policy compliance.
- Produces exactly seven backend keyword strings optimized for search intent without repeating title words.
- Identifies specific browse tree category paths to maximize organic ranking potential in relevant niches.
- Drafts conversion-focused product descriptions and A+ Content modules that follow FTC and Amazon guidelines.
- Provides data-driven pricing strategies and a 7-day launch roadmap to stabilize initial BSR.
Why this beats prompting it yourself
General-purpose LLMs often suggest "bestseller" claims, illegal characters, or keyword-stuffing techniques that trigger Amazon's automated bans. This skill implements a mandatory 10-point safeguard check to ensure every recommendation stays within current KDP terms of service while maximizing discoverability.
Use cases
- Launching a new nonfiction title with high-intent backend keywords and category placement.
- Optimizing a low-performing fiction series listing to improve conversion and click-through rates.
- Creating a policy-compliant A+ Content strategy for a brand-registered author account.
- Auditing existing metadata to remove potential policy violations before Amazon flags the account.
Known limitations
Pricing recommendations require manual verification against the most recent KDP royalty tier minimums and printing costs which fluctuate by region.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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