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Mrs. B's MSET – Technology in the Special Ed Classroom — 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 Special Education →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
si-services.com ↗	67 match 1 shared topics	SI SERVICES, INC. – SPECIALIZED TECHNOLOGY INSTRUCTION TO MAKE A DIFFERENCE IN THE LIVES OF THOSE LIVING WITH A DISABILITY	en	special-education WordPress	robotsllmsaihumans	emailphone	none
cseeaisd.org ↗	65 match 1 shared topics	Coalition for Special Education Equity in AISD	en	special-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
pactesp.org ↗	65 match 1 shared topics	Home \| PA Center & Technical Education Special Populations	en	special-education WordPress	robotsllmsaihumans	emailphone	none
ousdspedassistant.org ↗	65 match 1 shared topics	OUSD Special Education Knowledge Hub	en	special-education	robotsllmsaihumans	emailphone	none
mcsec.org ↗	65 match 1 shared topics	Marion County Special Education Coop	en	special-education	robotsllmsaihumans	emailphone	none
allchildrenlearn.com ↗	65 match 1 shared topics	All Children Learn \| The First Special Education Ecosystem	en	special-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jeffhorton.co ↗	64 match 1 shared topics	About \| Jeff Horton \| Special Education	Colombia en	special-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mosaiciep.com ↗	64 match 1 shared topics	MosaicIEP — Special Education Case Management	en	special-education	robotsllmsaihumans	emailphone	none
alexsanderacademy.org ↗	64 match 1 shared topics	Alexsander Academy – Georgia Special Needs School	en	special-education WordPress WooCommerce	robotsllmsaihumans	email phone	none
p4queens.org ↗	64 match 1 shared topics	P4 Queens \| District 75 Special Education School NYC	United States~ en	special-education Webflow	robotsllmsaihumans	email phone	none
voilatechinc.com ↗	64 match 1 shared topics	Assistive Technology Evaluation & Services \| Voila Technology, Inc.	United States~ en	special-education	robotsllmsaihumans	emailphone	none
overlakespecialtyschool.org ↗	64 match 1 shared topics	Home \| Overlake Specialty School	United States~ en	special-education	robotsllmsaihumans	emailphone	none
allamanospecialschool.com ↗	63 match 1 shared topics	Allamano Special School - Nyeri, Kenya	en	special-education	robotsllmsaihumans	emailphone	none
mdeschool.org ↗	63 match 1 shared topics	MDE School - Special needs school located in Marietta, GA	en	special-education WordPress	robotsllmsaihumans	emailphone	none
lakeacademy.org ↗	63 match 1 shared topics	Lake International Academy - Child Development & Special Education, Abuja	en	special-education	robots llmsaihumans	emailphone	none
vortex2learning.com ↗	63 match 1 shared topics	Home - Best Resources for Special Education Teachers by vortex2learning	en	special-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csef-air.org ↗	63 match 1 shared topics	CSEF/SEEP: Center for Special Education Finance & Special Education Expenditure Project	en	special-education	robotsllmsaihumans	emailphone	none
1saatspecialneeds.com ↗	63 match 1 shared topics	One Step At A Time \| Special Needs Tutorial Services	en	special-education Wix	robots llmsaihumans	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.