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Aboriginalintelligence alternatives & similar sites

Aboriginal Intelligence - AI Think Tank — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
aiia-ai.org ↗	67 match 2 shared topics	International Artificial Intelligence Industry Alliance ( AIIA )	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aifundraisingplaybook.com ↗	66 match 2 shared topics	Artificial Intelligence for Nonprofit Fundraising \| Dale Nirvani Pfeifer	en	artificial-intelligence	robots llmsaihumans	emailphone	none
aifundraisingfornonprofits.org ↗	66 match 2 shared topics	Artificial Intelligence for Nonprofit Fundraising \| Dale Nirvani Pfeifer	en	artificial-intelligence	robots llmsaihumans	emailphone	none
aifundraisingfornonprofits.com ↗	66 match 2 shared topics	Artificial Intelligence for Nonprofit Fundraising \| Dale Nirvani Pfeifer	en	artificial-intelligence	robots llmsaihumans	emailphone	none
donorsite.org ↗	63 match 2 shared topics	DonorSite - AI CRM for Nonprofits	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai4good.org ↗	63 match 2 shared topics	Home - AI for Good Foundation - AI for social impact	United States~ en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aifalliance.org ↗	62 match 2 shared topics	AI Freedom Alliance - Independent Governance Body for AI Tools and Companies	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
agenticphilanthropy.com ↗	62 match 2 shared topics	Agentic Philanthropy — AI That Amplifies Human Agency in Service of Purpose	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
forqfoundation.org ↗	62 match 2 shared topics	FORQ Foundation - AI Workforce Coordination Layer	United States~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
aiforgood.life ↗	61 match 2 shared topics	AI for Good \| Using AI to make a positive impact	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
donorfacts.net ↗	61 match 2 shared topics	Donor Facts - AI-Powered Prospect Research for Nonprofits	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
donorfacts.ai ↗	61 match 2 shared topics	Donor Facts - AI-Powered Prospect Research for Nonprofits	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ainearby.net ↗	61 match 2 shared topics	Home AI Nearby	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aidvancement.app ↗	61 match 2 shared topics	AIdvancement - AI-Powered Tools for Nonprofit Fundraising Teams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aiili.org ↗	61 match 2 shared topics	The AI Institute for Life Improvement	en	artificial-intelligence Squarespace Magento	robotsllmsaihumans	emailphone	none
giveforceai.com ↗	61 match 2 shared topics	GiveForce AI — AI Agents for Nonprofits	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai4socialimpact.org ↗	61 match 2 shared topics	AI4SocialImpact - Applying Technology to Benefit Humanity	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
moodyrogerswebcontent.com ↗	60 match 2 shared topics	Nonprofit AI Strategy \| Moody Rogers Impact AI Strategists	en	artificial-intelligence 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.