I was reading about AI one day and, just as a matter of interest, I clicked on Gemini for the first time (on purpose ~ I’ve done it a few times by accident!) to see what Key words it might come up with for one of my books:
For MURDER Now and Then, Gemini writes:

“To optimize the Amazon KDP search visibility for MURDER, Now and Then by Diana Jackson, you should use descriptive, multi-word long-tail phrases. Amazon allows 7 backend keyword slots (up to 50 characters each). [1]
The following targeted keyword combinations are tailored specifically to the book’s dual-timeline plot, regional settings, and themes:
1. Dual Timeline & Multi-Generational Mystery
dual timeline murder mysteryinterwoven past and present crime fictioncold case 100 years later novelmulti generational family secret thriller[1]
2. Setting & Geographic Locations
british village cozy mystery seriesbedfordshire true crime inspired fictionchannel islands jersey mystery bookssmall town english countryside murder[1, 2]
3. Plot Hooks & Historical Background
unsolved historical murder 1919 novelfarmer wife accused husband death booksocial anthropology british mystery storiesworld war one aftermath crime fiction[1, 2, 3]
4. Comp Titles & Reader Read-Alikes
midsomer murders style cozy mystery booksbergerac channel islands crime read alikesslow burn british police procedural noveltraditional english village detective books[1]
Amazon Keyword Strategy Tips
- Do not repeat words that are already in your title (Murder, Now, Then) or author name (Diana Jackson), as Amazon’s algorithm automatically indexes those.
- Avoid punctuation like commas or semicolons in your backend slots; simply separate the words with spaces to maximize character counts.
- Combine terms into long strings to fill out each of the 7 slots (e.g., Slot 1:
dual timeline cold case interwoven past present).”
WOW, I thought! There’s even a summary for Amazon’s strategy.
What next? On my next post I’ll explore the actual meta data on KDP for this book currently, and how I might update it.
