Generate an editable metadata proposal that stays tied to the finished book.
Draft and revise title, subtitle, description, keywords, category suggestions, audience, price, and AI disclosure notes inside the same project as the manuscript.
What does BoundHive actually do?
BoundHive proposes metadata from the brief and structured outline, then keeps every field editable. The validator checks supported counts and lengths. Suggestions explain their role without pretending to know private Amazon ranking data or invented search volume.
What you get
Title and subtitle proposal
Book description and primary audience
Up to seven keyword phrases and category suggestions
Price proposal, AI content notes, and a paste-ready publication checklist
How it works in the product
Generate from the plan
The first proposal reflects the intended reader, scope, and outline.
Revise after the manuscript
Update promises and positioning when the completed book differs from the early brief.
Run mechanical checks
Catch empty fields, excessive length, count limits, and missing disclosure notes.
Copy from the checklist
The export identifies which value belongs in each publishing step.
What this does not guarantee
- Suggestions are not verified demand data.
- The author must check relevance, accuracy, rights, and prohibited metadata practices.
- Categories and marketplace options can change in KDP.