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Kindleranker alternatives & similar sites

Kindle Ranker - Book marketing research made easy — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Publishing Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
360bookmarketeers.com ↗	70 match 2 shared topics	Affordable Book Marketing Services Company	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
bookmarketer.co.uk ↗	69 match 2 shared topics	Book Marketer UK: Authors Book Marketing and Publicity Service	United Kingdom en	publishing-industry	robotsllmsaihumans	email phone	none
peterdigitalsuite.com ↗	68 match 2 shared topics	Peter \| Digital Book Growth Specialist — Professional Book Marketing	en	publishing-industry Spree Commerce	robotsllmsaihumans	emailphone	none
readtowin.info ↗	68 match 2 shared topics	Marketing Masters Library	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ehcreativestudio.com ↗	67 match 2 shared topics	EH Creative Studio \| Indie Book Promos & Author Marketing	en	publishing-industry	robotsllmsaihumans	emailphone	none
rapidmarketingebooks.com ↗	67 match 2 shared topics	Rapid Marketing eBooks	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
humantouchmarketing.ai ↗	67 match 2 shared topics	Human Touch — Publishing, Marketing + Podcast	en	publishing-industry	robots llmsaihumans	emailphone	none
adamsherk.com ↗	66 match 2 shared topics	Adam Sherk \| News SEO & Digital Marketing Blog	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
charliehoehn.com ↗	66 match 2 shared topics	Charlie Hoehn \| Author Marketing Strategist	en	publishing-industry Ghost	robotsllmsaihumans	emailphone	none
peterandpetra.com ↗	66 match 2 shared topics	Marketing Agency - Peter & Petra	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1vppublishing.com ↗	66 match 2 shared topics	1VP Publishing - Internet Marketing for Business Growth	en	marketing-and-advertising Weebly	robotsllmsaihumans	emailphone	none
adjacentbykatie.com ↗	66 match 2 shared topics	Social Media Marketing for Authors \| Adjacent by Katie	en	marketing-and-advertising Wix	robotsllmsaihumans	emailphone	none
altmetric.com ↗	66 match 2 shared topics	Reveal online attention to research - Altmetric	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	partial · 8
durnell.co.uk ↗	66 match 2 shared topics	Durnell Marketing \| The highest profile for your books in Europe	United Kingdom en	publishing-industry	robotsllmsaihumans	emailphone	none
media-marketing.net ↗	66 match 2 shared topics	Publishers - Media Marketing \| Publishing and printing Northern Ireland	en	publishing-industry Jimdo	robotsllmsaihumans	emailphone	none
acr-journal.com ↗	65 match 2 shared topics	Home \| Advances in Consumer Research	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
askstevelaube.com ↗	65 match 2 shared topics	Ask Steve Laube about Marketing & Writing for the Christian Market	en	publishing-industry	robotsllmsaihumans	emailphone	none
officialbuilderdirectory.org ↗	64 match 2 shared topics	Custom Brochures, Corporate Stores & Marketing Solutions \| District Publishing	United States~ en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.