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Brian Jacob alternatives & similar sites

Brian A. Jacob — 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 Education Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
3dbrian.com ↗	65 match 2 shared topics	Brian Bobbitt - Home	en	education-industry Weebly	robotsllmsaihumans	emailphone	none
ethiopianenterprises.org ↗	62 match 2 shared topics	Ethiopian Enterprises	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
1letgratitudetakeover.com ↗	60 match 2 shared topics	Jenny Severson, Ed.D. - Educational Consultant & Speaker for Public and Christian Schools	en	education-industry Squarespace Magento	robotsllmsaihumans	emailphone	none
otto909.com ↗	60 match 2 shared topics	OTTO 909 – Old Town Teachers Organization	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
ourguide.net ↗	60 match 2 shared topics	Our Guide - Interactive, easy-to-share programs for schools and organizations	en	education-industry WordPress	robots llmsaihumans	email phone	none
outcomesbased.org ↗	60 match 2 shared topics	The Center for Outcomes Based Contracting - The Center for Outcomes Based Contracting	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
oxfordsportsgroup.com ↗	60 match 2 shared topics	Oxford Sports Group – Education, Sports, Technology	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
p21global.org ↗	60 match 2 shared topics	Home \| AASA, The School Superintendents Association \| AASA	United States~ en	education-industry	robotsllmsaihumans	email phone	none
p21innovation.org ↗	60 match 2 shared topics	Home \| AASA, The School Superintendents Association \| AASA	United States~ en	education-industry	robotsllmsaihumans	email phone	none
pa-lewoleba.net ↗	60 match 2 shared topics	Informasi Pendidikan Terkini -	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
paadopt.org ↗	60 match 2 shared topics	PA-ADOPT	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
pacegenerativelabs.info ↗	60 match 2 shared topics	Project Education – When education and technology come together, you get to be a hero for every student.	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
pacegengeo.info ↗	60 match 2 shared topics	Project Education – When education and technology come together, you get to be a hero for every student.	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
pacificeastcc.org ↗	60 match 2 shared topics	CCNetwork > Pacific East - Pacific East Comprehensive Center	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
pacificwestcompcenter.org ↗	60 match 2 shared topics	HOME - Pacific West Comp Center	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
pacwestsfs.org ↗	60 match 2 shared topics	Home - PacWest SFS	en	education-industry Joomla	robotsllmsaihumans	emailphone	none
mbweekly.net ↗	60 match 2 shared topics	Manhattan Beach MB Weekly "Once a Week, But Never Weakly" - Where the Innovators of Tomorrow Come to Work and Play...	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
mceanea.org ↗	60 match 2 shared topics	HOME - Montgomery County Education Association	en	education-industry WordPress	robotsllmsaihumans	email phone	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.