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- Differentiated and Visual Supported Resources for Special Education — 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
eyegaze.co.uk ↗	72 match 1 shared topics	HelpKidzLearn \| Online Learning for Special Education	United Kingdom en	special-education Umbraco	robotsllmsaihumans	emailphone	none
learningbridgesnyc.com ↗	72 match 1 shared topics	Special Education & Academic Support Services in NY	en	special-education WordPress	robotsllmsaihumans	email phone	none
crossboweducation.co.uk ↗	72 match 1 shared topics	Crossbow Education \| Visual Stress \| Dyslexia resources	United Kingdom en	special-education OpenCart	robotsllmsaihumans	emailphone	none
dyslexiaoverlays.co.uk ↗	72 match 1 shared topics	Crossbow Education \| Visual Stress \| Dyslexia resources	United Kingdom en	special-education OpenCart	robotsllmsaihumans	emailphone	none
cb-dyslexia.com ↗	72 match 1 shared topics	Crossbow Education \| Visual Stress \| Dyslexia resources	en	special-education OpenCart	robotsllmsaihumans	emailphone	none
presence.com ↗	71 match 1 shared topics	Teletherapy & Remote Special Education Services for Schools \| Presence	en	special-education WordPress	robotsllmsaihumans	emailphone	none
fireflyeducation.co.uk ↗	71 match 1 shared topics	Firefly London — Bespoke tutoring and special education	United Kingdom en	special-education	robotsllmsaihumans	emailphone	none
brigance.com ↗	71 match 1 shared topics	Welcome to BRIGANCE for Early Childhood and Special Education	United States~ en	special-education	robotsllmsaihumans	emailphone	none
iepcoteacher.com ↗	70 match 1 shared topics	IEP Co-Teacher — IEP goal tracking for special education teachers	en	special-education Paddle	robots llmsaihumans	emailphone	none
iepandme.com ↗	70 match 1 shared topics	CollaboratED by IEP&ME \| The Special Education Revolution	en	special-education	robotsllmsaihumans	emailphone	none
melindaburchard.com ↗	70 match 1 shared topics	Melinda Burchard – Special Education Resources	en	special-education WordPress	robotsllmsaihumans	emailphone	none
csef-air.org ↗	70 match 1 shared topics	CSEF/SEEP: Center for Special Education Finance & Special Education Expenditure Project	en	special-education	robotsllmsaihumans	emailphone	none
myieppartners.com ↗	70 match 1 shared topics	IEP Partners: Special Education and 504 Advocacy	en	special-education	robotsllmsaihumans	emailphone	none
brookespublishing.com ↗	70 match 1 shared topics	Professional resources and assessments for early childhood, K-12, special education, and higher education \| Brookes Publishing Co.	en	special-education WordPress	robots llmsaihumans	emailphone	none
ccse-maryland.org ↗	69 match 1 shared topics	Catholic Coalition for Special Education	en	special-education	robotsllmsaihumans	emailphone	none
trarrk.com ↗	69 match 1 shared topics	About Trarrk - Transforming Special Education Management	en	special-education	robotsllmsaihumans	email phone	none
progcheck.com ↗	69 match 1 shared topics	ProgCheck \| Special Education Progress Monitoring - ProgCheck	en	special-education	robotsllmsaihumans	emailphone	none
aloveforspeciallearning.com ↗	69 match 1 shared topics	Special Education blog for high school & transition teachers & parents	en	special-education	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.