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Four Million Suns – Marketing for Nonprofits — 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
digital-fundraising.org ↗	71 match 2 shared topics	Digital Fundraising Strategy For Nonprofits - Made Simple	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
mdpmnonprofit.com ↗	69 match 2 shared topics	Websites and SEO for Nonprofits \| Serving Clients Nationwide	United States~ en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
1stdegree.com ↗	68 match 2 shared topics	Integrated Marketing for Non-Profit and Associations \| 1stDegree Marketing in Virginia	en	marketing-and-advertising Wix	robots llmsaihumans	emailphone	none
shoptogive.app ↗	67 match 2 shared topics	Google Grant \| Google Ad Grant Management for Nonprofits	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
digital-tabby.org ↗	66 match 2 shared topics	Google Ad Grant Management Agency for Nonprofits - Digital Tabby	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitaltabbygrants.net ↗	66 match 2 shared topics	Google Ad Grant Management Agency for Nonprofits - Digital Tabby	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitaltabbygrants.org ↗	66 match 2 shared topics	Google Ad Grant Management Agency for Nonprofits - Digital Tabby	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitaltabbycommunications.org ↗	66 match 2 shared topics	Google Ad Grant Management Agency for Nonprofits - Digital Tabby	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
heydigitalhq.com ↗	66 match 2 shared topics	Google Ad Grant Management Agency for Nonprofits - Digital Tabby	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
heydigitaltabby.com ↗	66 match 2 shared topics	Google Ad Grant Management Agency for Nonprofits - Digital Tabby	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitalmarketingwithcharity.com ↗	65 match 2 shared topics	@digitalmarketingwithcharity \| Tiktok profile \| Beacons	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
digitalmarketing.bz ↗	65 match 2 shared topics	Digital Marketing \| Specializing in Small Business and Non-Profit Organizations	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
heroicfundraising.com ↗	62 match 2 shared topics	TrueSense Blog	en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
jamesbishop.co ↗	62 match 2 shared topics	James Bishop Co.	Colombia en	marketing-and-advertising HubSpot	robotsllmsaihumans	emailphone	none
sidekickfundraising.com ↗	61 match 2 shared topics	Sidekick Fundraising	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
more-onion.com ↗	61 match 2 shared topics	More Onion, the digital mobilisation agency - More Onion	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
moreonion.com ↗	61 match 2 shared topics	More Onion, the digital mobilisation agency - More Onion	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mooreink.com ↗	61 match 2 shared topics	Moore Ink \| PR and Fundraising Communications	en	marketing-and-advertising	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.