Book keyword research, without the invented numbers.
Search a keyword and see the estimated demand, the competition, and the books already winning it. Paste a competitor's ASIN and get the keywords behind it. Keep the good ones and send them straight into a campaign — the research and the ad account are the same window. Every estimate is printed as a range, because that is what the signal supports.
Research a niche before you commission the cover.
A keyword tool is only useful if you know how much to trust it, and only worth opening if what you find goes somewhere. This one tells you both.
Type a keyword, see the market
Estimated demand, a competition read, a revenue estimate, and the books currently winning the term — so you know what you'd be walking into before you write a word of blurb.
Reverse-ASIN on any book
Paste a competitor's ASIN and get the keywords that book lives on, the titles Amazon treats as similar, and the terms they advertise against. The long-tail phrase nobody else bid on usually turns up here.
An AI read on the niche
Ask for a synthesis and you get how saturated the category looks, where the covers are weak, and which angle is still open — on the set of books you just pulled, not on a generic prompt.
From keyword to campaign, in the same window
The terms you keep go straight into an ad group — no CSV, no re-typing, no second tool. That is the whole reason research lives in the app that runs your campaigns and holds your royalties.
Eight marketplaces, and your own exports
Live search covers the US, UK, Germany, France, Spain, Italy, Canada and Australia. Already have an export from a keyword tool you like? Drop the CSV in and it lands in the same tables.
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.
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.
Next
- Live keyword search in Japan, India, Mexico, Brazil and the Netherlands
- Research that follows you from one computer to another
Later
- Trend history per keyword
- Saved niches that re-run themselves and flag what moved
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 goes into an ad group in two clicks and can be checked later against what it actually earned. If you already own a keyword tool you like, keep it and drop its CSV export straight in — the results land in the same tables.
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.