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Professional Assistant for National Developing Assets... ie, PANDA — 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
bayanedgembs.org ↗	68 match 1 shared topics	Bayan EDGE: Empowering Social Enterprises for National Development	en	non-profit-organizations	robotsllmsaihumans	email phone	none
bapta.org ↗	67 match 1 shared topics	BAPTA – Bay Area Professional Ticketing Association	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
joinisfp.com ↗	67 match 1 shared topics	The International Society of Female Professionals	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
joinpna.com ↗	66 match 1 shared topics	Professional Networking Alliance	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
ballston.org ↗	66 match 1 shared topics	Ballston Spa Business & Professional Association - #livebspa	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
susprof.com ↗	66 match 1 shared topics	Sustainability Professionals Association	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
abpawkp.com ↗	66 match 1 shared topics	Association of Business, Professional & Agricultural Women, Pakistan	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cspba.org ↗	65 match 1 shared topics	Canadian Slovak Professional and Business Association \| Canadian Slovak Professional and Business Association	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	partial · 8
csocid.org ↗	65 match 1 shared topics	Centre for Social Development	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
1stgrantfree.com ↗	65 match 1 shared topics	Terrence Harris LLC - Professional Grant Writing Services	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
barbarafloersch.com ↗	65 match 1 shared topics	Barbara Floersch – author, consultant, grant professional, trainer for non-profit organizations	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fcpae.com ↗	65 match 1 shared topics	全欧华人专业协会联合会 Federation of Chinese Professional Associations in Europe	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
hannaha.com ↗	65 match 1 shared topics	Hannah Alderson \| Fundraising Professional	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
nationaldefensenetwork.org ↗	65 match 1 shared topics	Home \| National Defense Network	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
accreditedforpeace.com ↗	65 match 1 shared topics	The Peace Professionalism Project	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
36plusone.org ↗	65 match 1 shared topics	36PlusOne - Development Initiative: Organizational Profile	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
culypsc.org ↗	65 match 1 shared topics	Columbia Urban League Young Professionals - Home	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
joininspireworld.com ↗	65 match 1 shared topics	Inspire World: Raise Funds Globally, 24/7 for Professionals	en	non-profit-organizations Lightspeed	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.