Book keyword research, without the invented numbers.
Nobody can hand you exact Amazon keyword search volume for Kindle titles — not us, not anyone. Demand Radar gives you book-tuned estimates instead, with the range printed next to the number, so KDP niche research stops being a coin flip you pay for in ad spend.
First cohort: 20 authors. 90 days free. No card, no checkout — we're not selling yet.
Search-volume estimate · "cozy mystery"
Related terms · book-tuned
Amazon keyword search volume, honestly labeled.
A keyword tool is only useful if you know how much to trust it. This one tells you.
Every number ships with a range
No false-precision integers. Each keyword comes back as an estimated range, because that is what the underlying signal supports — and a range you can compare beats a single number you can't trust.
Tuned for books, not for e-commerce
Generic SEO tools rank terms against retail demand. Demand Radar weights for how readers browse and buy books on Amazon — tropes, subgenres, series discovery — so the estimates map to your category instead of to a hardware store.
One seed, a ranked list back
Start from a single term and get the adjacent phrases readers use, each with its own estimate and a rough competition read. This is where the long-tail keyword nobody else bid on turns up.
Research that feeds the ad account
The keyword you research is the keyword you bid on. Demand Radar sits in the same app as your campaigns and your royalties, so a term goes from idea to campaign to profit line without a spreadsheet in the middle.
Aggregated, opt-in, never resold
Estimates come from anonymized aggregate signals and public sources. We never expose another author's data and we never sell yours.
What an estimate is, and what it isn't.
Every book keyword tool on the market models demand from indirect signals, because Amazon doesn't publish Kindle search volume to anyone. Some of them print a confident integer anyway. We'd rather show you the range and let you make the call.
Use the numbers to rank terms against each other — that's the decision you're making. Don't build a revenue forecast on them, and be suspicious of any tool that invites you to.
Good use
- Ranking twenty candidate terms before a launch
- Spotting a subgenre with demand and thin competition
- Choosing which phrases deserve a campaign of their own
Bad use
- Quoting the number to somebody as fact
- Forecasting units from estimated volume
- Assuming two tools that disagree can't both be modeling
Where this is heading.
Now
- Keyword lookups in the desktop app
- Estimated ranges, labeled as estimates
Next
- Related-term expansion with a competition read
- Keywords carried straight into a campaign
Later
- Opt-in, anonymized aggregate demand signals
- Trend history per keyword
Questions about book keyword research.
Why can't anyone give exact Amazon search volume for books?
Because Amazon doesn't publish it for Kindle titles. The search-term data Amazon shares through Brand Registry doesn't cover them, so every book keyword tool on the market is modeling demand from indirect signals — ours included. The difference is whether the tool tells you that. We label every figure as an estimate and show a range instead of pretending to a number Amazon never gave us.
How accurate are the estimates?
Accurate enough to rank terms against each other, which is the decision you're actually making. Treat them as comparative rather than absolute: a keyword estimated at several times the volume of another almost certainly is bigger, but don't build a forecast on the exact figure.
How is this different from Publisher Rocket?
Publisher Rocket is a standalone keyword research tool, and a well-known one. Demand Radar is a research view inside the app that already holds your campaigns and your royalties, so a keyword you pick can be checked later against what it actually earned. If you already own a keyword tool you like, keep it — this is not the reason to apply for early access.
Can I use it for niche research, not just keywords?
That's most of what people do with it. Run the terms that describe a niche, compare the estimated demand and the competition read across them, and you get a picture of whether a subgenre has room before you commission a cover for it.