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All Things Instructional Design and Technology — 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
trendsidt.com ↗	77 match 1 shared topics	Trends in Instructional Design & Technology Database	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kalifakellylxd.com ↗	75 match 1 shared topics	Kalifa Kelly lxd \| Instructional Designer	en	education-industry Wix	robots llmsaihumans	emailphone	none
id-aplearning.com ↗	73 match 1 shared topics	AP Learning – Instructional Design（教育設計）	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
idrambling.com ↗	72 match 1 shared topics	ID Rambling – Ramblings on Instructional Design, Learning Technology, and Teaching and Learning	en	education-industry WordPress	robots llmsaihumans	emailphone	none
a2zinstructionaldesigns.com ↗	71 match 1 shared topics	A2Z Instructional Designs – Curriculum Design and e-Learning Development	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
abramseducationalconsulting.com ↗	71 match 1 shared topics	Abrams Educational Consulting \| Curriculum Design & Instructional Design	en	education-industry	robotsllmsaihumans	emailphone	none
designtechnology.org.uk ↗	70 match 1 shared topics	We support and champion design and technology education in schools - D&T Association	United Kingdom en	education-industry	robotsllmsaihumans	emailphone	none
kendalfortson.com ↗	70 match 1 shared topics	Kendal Fortson – Instructional Designer & Educator	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
certifiedinstructionalcoach.com ↗	70 match 1 shared topics	i2e Certified Instructional Coach™ Program	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
a-e-design.com ↗	70 match 1 shared topics	Adaptive Educational Design	en	education-industry	robotsllmsaihumans	emailphone	none
id4he.com ↗	70 match 1 shared topics	Instructional Design 4 Higher Education – Coaching, mentoring, training and peer reviews for IDs in HE	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
cedtechjournals.org ↗	69 match 1 shared topics	Home - Centre for Educational Development and Technology	en	education-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
carrietmills.com ↗	69 match 1 shared topics	Carrie Mills – Instructional Designer // Learning Consultant	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
cgci-ijamet.org ↗	69 match 1 shared topics	CGCI International Journal of Administration, Management, Education and Technology	en	education-industry	robotsllmsaihumans	emailphone	none
cscollaborative.org ↗	68 match 1 shared topics	Jason Innes \| Educational Technology Consulting	en	education-industry	robotsllmsaihumans	emailphone	none
sirstech.com ↗	68 match 1 shared topics	SIRS Tech – Specialized Instructional Resources, Services & Technologies	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
tradewind-tech.com ↗	68 match 1 shared topics	Tradewind Technologies	en	education-industry	robotsllmsaihumans	emailphone	none
brightworksagency.com ↗	68 match 1 shared topics	Bright Start \| Instructional Intelligence for Australian schools	en	education-industry	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.