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FSG - Reimagining Social Change — 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
bridgespan.org ↗	55 match shared topic	Bridgespan - Global consulting for philanthropy and nonprofits \| Bridgespan	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
ssir.org ↗	42 match shared topic	Stanford Social Innovation Review: Informing and Inspiring Leaders of Social Change	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
radicalroutes.org.uk ↗	42 match shared topic	Radical Routes – A Network of Housing and Workers Co-ops Working for Radical Social Change	United Kingdom en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
skoll.org ↗	42 match shared topic	Skoll \| Social Entrepreneurs Driving Large-scale Change	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
thepollinationproject.org ↗	42 match shared topic	Micro Grants for Social Change \| The Pollination Project	en	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ssireview.org ↗	42 match shared topic	Stanford Social Innovation Review: Informing and Inspiring Leaders of Social Change	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
commonslibrary.org ↗	42 match shared topic	THE COMMONS SOCIAL CHANGE LIBRARY	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
changemakerxchange.org ↗	42 match shared topic	ChangemakerXchange - Global community of young social innovators	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
chuffed.org ↗	35 match shared topic	Chuffed \| Non-profit charity and social enterprise fundraising	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
efqm.org ↗	35 match shared topic	Organisational Change Management - EFQM	en	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
socialenterprise.org.uk ↗	35 match shared topic	Home \| Social Enterprise UK	United Kingdom en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
nesta.org.uk ↗	35 match shared topic	Nesta \| UK innovation agency for social good	United Kingdom en	non-profit-organizations	robotsllmsaihumans	emailphone	none
skatingpanda.com ↗	35 match shared topic	Skating Panda \| A Creative Social Impact Consultancy	en	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
propeller.com ↗	35 match shared topic	Business Management Consulting to Accelerate Change \| Propeller	en	management-consulting-industry	robotsllmsaihumans	emailphone	none
eidra.com ↗	35 match shared topic	Eidra – We help leaders create great change	en	management-consulting-industry	robotsllmsaihumans	emailphone	none
sedexcertifications.com ↗	35 match shared topic	SEDEX – Supplier Ethical Data Exchange, Sedex Certifications	en	non-profit-organizations	robotsllmsaihumans	emailphone	none
socialgoodfund.org ↗	35 match shared topic	SocialGood-Let's Build the World We Wish to See	en	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
social-current.org ↗	35 match shared topic	Social Current \| Activating the Power of the Social Sector	en	non-profit-organizations 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.