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Tech | National Black Employees Association | NBEA Global Xerox Division — 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 Non Profit Organizations →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ctsprinklers.org ↗	70 match 1 shared topics	NFPA \| The National Fire Protection Association	en	non-profit-organizations Sitecore	robotsllmsaihumans	emailphone	none
enfia.info ↗	70 match 1 shared topics	Eldorado National Forest Interpretive Association (ENFIA)	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
enfia.org ↗	70 match 1 shared topics	Eldorado National Forest Interpretive Association (ENFIA)	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
susprof.com ↗	69 match 1 shared topics	Sustainability Professionals Association	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
bamedcaglobal.org ↗	69 match 1 shared topics	BAMEDCA Global – Bamendankwe Development & Cultural Association \| Community & Heritage	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
donate-mnff.com ↗	68 match 1 shared topics	Support Minnesota Professional Fire Fighters Association	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dundeefed.org ↗	68 match 1 shared topics	Dundee Federation Of Tenants Associations	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
ducklakeassn.org ↗	68 match 1 shared topics	Duck Lake Association \| Non-Profit Association \| Calhoun County, Michigan	US~ en	non-profit-organizations Lightspeed	robotsllmsaihumans	emailphone	none
utilityeda.com ↗	68 match 1 shared topics	Utility Economic Development Association \| Utility Economic Development Association	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
dutchserbianbusiness.org ↗	68 match 1 shared topics	Dutch-Serbian Business Association - DSBA	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
napfe.com ↗	68 match 1 shared topics	National Alliance of Postal and Federal Employees (NAPFE) - Home	en	non-profit-organizations Joomla	robotsllmsaihumans	emailphone	none
2ida.org ↗	68 match 1 shared topics	Second Indianhead Division Association	en	non-profit-organizations Squarespace Magento	robotsllmsaihumans	emailphone	partial · 13
disabledbusiness.org ↗	68 match 1 shared topics	The Disabled BusinessPersons Association	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	partial · 1
cbiacorpus.com ↗	68 match 1 shared topics	Coastal Bend India Association \| About CBIA	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
culticstudiesreview.org ↗	67 match 1 shared topics	ICSA \| International Chinese Statistical Association	US~ en	non-profit-organizations	robotsllmsaihumans	emailphone	none
abpawkp.com ↗	67 match 1 shared topics	Association of Business, Professional & Agricultural Women, Pakistan	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
acadiabay.com ↗	67 match 1 shared topics	Association & Salesforce Experts \| Acadia Bay	en	non-profit-organizations Wix	robotsllmsaihumans	emailphone	none
culturalequity.org ↗	67 match 1 shared topics	The Association for Cultural Equity	en	non-profit-organizations Drupal	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.