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Kayla Hellal – Nonprofit Communications and Marketing — 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
stacyjeziorowski.com ↗	79 match 1 shared topics	Stacy Jeziorowski – Nonprofit Marketing and Communications Lead	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
annamcarver.com ↗	76 match 1 shared topics	Anna M. Carver – Marketing Communications Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
humanistcopywriter.com ↗	76 match 1 shared topics	Humanist copywriter – Nonprofit fundraising, marketing, and communications with love	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	full · 12
heidikerr.com ↗	75 match 1 shared topics	Heidi Kerr Strategies – Nonprofit Strategic Communications and Marketing	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kaylamarthaler.com ↗	75 match 1 shared topics	Kayla Marthaler – Marketing and Communications Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
keenandava.com ↗	75 match 1 shared topics	Keenan Dava \| Marketing & Communications	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ssquaredmarcom.com ↗	75 match 1 shared topics	SSquared Marketing & Communications	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mchenry-media.com ↗	74 match 1 shared topics	Jordan Edwards – Experienced marketing communications professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
comprend.com ↗	74 match 1 shared topics	Tech-enabled marketing and communications \| Comprend	Sweden~ en	marketing-and-advertising	robotsllmsaihumans	email phone	none
antennagroup.com ↗	73 match 1 shared topics	Global Marketing & Communications Agency \| Antenna Group	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kellieonaga.com ↗	73 match 1 shared topics	Kellie Pharr – Communications & Marketing Content Professional	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
darkcitydigital.com ↗	73 match 1 shared topics	Dark City Digital – Digital Marketing, Communications, and Website Design Agency	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
omarmsalama.com ↗	73 match 1 shared topics	Omar Salama \| Strategic Marketing & Communications	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
brunasofia.com ↗	73 match 1 shared topics	Design. Marketing. Communications. \| Bruna Sofia Simoes	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kathleenschoonover.com ↗	73 match 1 shared topics	Kathleen Schoonover – Resume \| Marketing Communications	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	full · 12
huescommunications.net ↗	73 match 1 shared topics	Hues Communications - Copywriting, Graphic Design and Marketing Consulting	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
highroadmc.com ↗	73 match 1 shared topics	High Road Marketing and Communications	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cultivate-communications.com ↗	72 match 1 shared topics	Growth Marketing Agency \| Cultivate Communications	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.