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Affordable Housing Development Organization - Coachella Valley Housing Coalition — 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
cvhc.org ↗	100 match 1 shared topics	Affordable Housing Development Organization - Coachella Valley Housing Coalition	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
fashousing.com ↗	72 match 1 shared topics	Fashousing - Affordable housing across Ghana	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
uphoweb.com ↗	71 match 1 shared topics	Upper Penninsula Housing Organization - Home	US~ en	non-profit-organizations	robotsllmsaihumans	emailphone	none
bcleaders.org ↗	70 match 1 shared topics	Non-Profit Organization in Texas \| BC Leaders	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
sangamarts.com ↗	70 match 1 shared topics	Silicon Valley Nonprofit Organization \| Mosaic America	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
cvgiving.org ↗	69 match 1 shared topics	CV Giving Day \| Coachella Valley Philanthropy & Giving	en	non-profit-organizations Ghost	robotsllmsaihumans	emailphone	none
devdeptinc.com ↗	69 match 1 shared topics	Home \| The Development Department	en	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
usfoundationfored.com ↗	69 match 1 shared topics	US Foundation for Education and Development, Inc. (USFED)	en	non-profit-organizations	robotsllmsaihumans	email phone	none
barleyloaves.org ↗	69 match 1 shared topics	Barley Loaves Foundation - A Christian Non-Profit Organization	US~ en	non-profit-organizations	robotsllmsaihumans	emailphone	none
barleyloaves.net ↗	69 match 1 shared topics	Barley Loaves Foundation - A Christian Non-Profit Organization	US~ en	non-profit-organizations	robotsllmsaihumans	emailphone	none
beeeducated.org ↗	69 match 1 shared topics	Home - Bee Educated - Non-Profit Organization - Texas Bee Population	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
achievedespite.com ↗	69 match 1 shared topics	Non-Profit Organization - Achieve Despite Inc.	en	non-profit-organizations Weebly WooCommerce	robotsllmsaihumans	emailphone	none
upward-development.com ↗	68 match 1 shared topics	Upward Development – Stronger organizations. More vibrant communities.	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
hdpartners.org ↗	68 match 1 shared topics	HDPartners - A San Diego Housing Commission Affiliate	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
csiliberia.org ↗	68 match 1 shared topics	Community Organization \| Community Safety	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
susnano.com ↗	68 match 1 shared topics	Sustainable Nanotechnology Organization	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
baskervillefoundation.com ↗	68 match 1 shared topics	Baskerville Foundation: Leading Non-Profit Organization \| Homepage	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
bcdci.org ↗	68 match 1 shared topics	Bakyas Community Development Center Inc.	en	non-profit-organizations WordPress WooCommerce	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.