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KatCal Communications – Digital wordsmith — 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
heffernancollective.com ↗	70 match 2 shared topics	Home - Novel Communications	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
360-ccgroup.com ↗	70 match 2 shared topics	Compass Communications Group	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
360-compassgroup.com ↗	70 match 2 shared topics	Compass Communications Group	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
360ccgroup.com ↗	70 match 2 shared topics	Compass Communications Group	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
btobwriter.com ↗	68 match 2 shared topics	Gregg Siegel Business Communications Copywriter	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
antoinereid.com ↗	67 match 2 shared topics	ANTOINE REID – WRITER, BRAND BUILDER, DIGITAL MARKETER	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
keenemarcomm.com ↗	67 match 2 shared topics	Keene Marketing Communications – Content Writing \| Editing \| Social Media \| Graphic Design	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
digitallydone.co.uk ↗	67 match 2 shared topics	Home \| Digitally Done	United Kingdom en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
annelisekelly.com ↗	66 match 2 shared topics	Annelise Kelly Communications \| writing \| marketing \| good vibes	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
heidigollub.com ↗	66 match 2 shared topics	Heidi Gollub – Marketing and communications professional based in Austin, Texas	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
danidredger.com ↗	66 match 2 shared topics	Dani Dredger – Digital Marketer and Visual Storyteller	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
erinharringtoncommunications.com ↗	65 match 2 shared topics	Journalism & PR Marketing-Erin Harrington Communications – The premier freelance journalist for all of your content requirements	en	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
deelundycharles.com ↗	64 match 2 shared topics	WORDSMITH AGENCY [ Writing \| Editing \| PR ] – Making Words Work…	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
kemikodja.com ↗	64 match 2 shared topics	Kemi Kodja \| Writer, Content Creator & Digital Marketer	en	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
virtualdreamsdigital.com ↗	64 match 2 shared topics	Virtual Dreams \| SEO, Content Writing, Digital Marketing	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	partial · 8
6cgmarketing.com ↗	64 match 2 shared topics	Marketing Strategy, Copywriting & Digital Solutions \| 6CGMarketing \| Greg Creason	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
faarih.com ↗	64 match 2 shared topics	Ibrahim Faarih - Digital Marketer & SEO Specialist in Maldives	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
staceyhan.com ↗	64 match 2 shared topics	Stacey Han – Words & Workflows	en	marketing-and-advertising WordPress	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.