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AuthrBrand - Social Media for Authors and Thought Leaders — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
authorlaunchkit.ai ↗	67 match 2 shared topics	Author Launch Kit \| Book Marketing System for Authors	en	publishing-industry WordPress	robotsllmsaihumans	email phone	none
authorssphere.com ↗	67 match 2 shared topics	AuthorSphere — Where Authors Become Brands	en	publishing-industry	robotsllmsaihumans	emailphone	partial · 8
pubzoom.com ↗	67 match 2 shared topics	PubZoom - AI-Powered Book Marketing Automation for Authors	en	publishing-industry	robotsllmsaihumans	emailphone	none
horsemanpublishing.com ↗	66 match 2 shared topics	Horseman Publishing \| Author Visibility Studio — Book Marketing Visuals for Authors	en	publishing-industry	robotsllmsaihumans	emailphone	none
bookmarketer.co.uk ↗	66 match 2 shared topics	Book Marketer UK: Authors Book Marketing and Publicity Service	United Kingdom en	publishing-industry	robotsllmsaihumans	email phone	none
authorbrandstrength.com ↗	66 match 2 shared topics	Brand Strength Home \| Brand Strength - Author Branding by Andrea Guevara	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
authorspromo.com ↗	65 match 2 shared topics	Book & Author Promotion Services \| promote a book	en	publishing-industry	robotsllmsaihumans	email phone	partial · 8
ccmediany.com ↗	65 match 2 shared topics	CC Media \| Community Magazines	en	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
crystalkeymedia.com ↗	64 match 2 shared topics	Welcome to Crystal Key Media - Crystal Key Media	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
publishedteam.com ↗	64 match 2 shared topics	Published Team – Helping Publishers and Authors Market Books	en	publishing-industry WordPress	robotsllmsaihumans	emailphone	none
author101university.com ↗	64 match 2 shared topics	Author101 University	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
authormarketingstrategist.com ↗	64 match 2 shared topics	Sofia Marie \| Author Marketing Strategist	en	publishing-industry	robotsllmsaihumans	emailphone	none
authorwebsitemarketing.com ↗	64 match 2 shared topics	Author Website Marketing \| Low-Cost Book Website Design	en	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
pulsior.io ↗	64 match 2 shared topics	Pulsior \| Programmatic Sales House for Premium Publishers and Scaled DSP Demand	en	publishing-industry	robotsllmsaihumans	emailphone	none
1vppublishing.com ↗	64 match 2 shared topics	1VP Publishing - Internet Marketing for Business Growth	en	marketing-and-advertising Weebly	robotsllmsaihumans	emailphone	none
authorboost.io ↗	64 match 2 shared topics	AuthorBoost	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
pubvisory.com ↗	64 match 2 shared topics	Pubvisory - Support, Advisory & Training for Publishers	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
pubfront.com ↗	64 match 2 shared topics	Pubfront helps brands create amazing digital content services for ebooks, audiobooks, audio programs, magazines and comics	en	publishing-industry	robotsllmsaihumans	emailphone	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.