Let Fee do the work. Publish ready.
Point Fee at one book. It dives deep on the real Amazon data and surfaces a complete, paste-ready KDP package — so you launch with keywords that actually sell, not guesswork.
Choose how you'd like to start
Either way takes about two minutes. Fee does the deep work from there.
Fee delivers research and a package you finalise. Your manuscript is private, used only to build your report, and never shared.
What Fee surfaces for you
One dive. Five publish-ready pieces — every figure an honest estimate from real Amazon data, never a guarantee.
Questions authors ask before running it
What does the Publish-Ready Research tool produce?
A single report containing 7 KDP backend keyword slots with observed search volume and estimated competition, 25–40 Amazon Ads keyword targets with suggested bid ranges, recommended BISAC + KDP browse categories, three Amazon book description variants in different tones, and 5–10 positioning notes. Every datapoint carries a confidence label so you know what's measured versus estimated.
How much does it cost and how do I receive the report?
$9.99 as a one-time payment per report — no subscription, no recurring charge — taken securely through Stripe. After payment, the AI builds your listing package and emails you a download link, usually within 5–15 minutes (a little longer for unusual niches). If it doesn't arrive within 30 minutes, check spam and then contact support with your payment confirmation.
Where does the keyword volume data come from?
Search volume comes from licensed Amazon search-volume data. We do not use raw ad-bid pressure as a competition signal — that metric conflates advertiser spend with reader demand. Instead, competition is a separate conservative estimate derived from comp ASIN review-count signals and category saturation, always labeled as estimated, never measured.
How does the KDP keyword selector avoid wasting slots?
After the AI selects 7 slots, a post-LLM compliance validator checks each slot for: prohibited promotional claims (bestseller, award-winning, free), competitor author/title names, words already in the title or subtitle, exact category-label duplication, repeated stems across slots, and a conservative 50-character cap. If the slots fail, the selector re-rolls once before falling back with a clear caveat.
How does it handle Amazon comp data?
Comp resolution is ASIN-first and cache-first: the tool checks our KDP data store before using live Amazon-data providers when needed. If a comp cannot be resolved, the report proceeds from title and category signals and surfaces the limitation as an explicit caveat.
How are the Amazon Ads keywords different from the KDP backend keywords?
They use different scoring models. KDP backend keywords prioritise relevance, discoverability, and compliance — they live inside Amazon's algorithm. Ads keywords prioritise commercial intent and bid efficiency, bucketed across broad/phrase/exact match types with suggested bid ranges. The same word may show up in both lists, or in neither.
What if I don't have comp titles or ASINs to provide?
The tool runs without them, but the report becomes weaker on competition estimates and positioning notes. You'll see explicit caveats telling you which sections were degraded.
How accurate is the suggested bid range?
The bids are heuristic guidance anchored to typical KDP book-ad CPCs, adjusted by observed volume and estimated competition. They are not advertiser-account data — your real auction prices may differ. Treat them as a starting band, not a target.
All figures are estimates anchored on real Amazon data — strong directional indicators, never guarantees of sales or ranking.