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Learning Design by HL – Instructional Learning design, curriculum curation & eLearning consultancy — 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
id-learn.com ↗	73 match 2 shared topics	ID-Learn – Instructional Design & Learning Development	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
learningdesignsmith.com ↗	72 match 2 shared topics	Learning DesignSmith \| Learning and Development Instructional Designer and LMS	en	education-industry Wix	robots llmsaihumans	emailphone	none
disruptlearning.org.uk ↗	71 match 2 shared topics	Disrupt Learning & Education \| Innovative eLearning Design UK	United Kingdom en	education-industry WordPress	robotsllmsaihumans	emailphone	none
kckingsbury.com ↗	70 match 2 shared topics	Kiely Kingsbury – Instructional Designer \| Learning Specialist	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
idandls.com ↗	70 match 2 shared topics	Home \| Instructional Design and Learning Services	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
leanneglasser.com ↗	70 match 2 shared topics	leanne glasser – Learning Experience Designer (LXD) \| 15+ Years in education & learning design	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
ceslimited.biz ↗	68 match 2 shared topics	E Learning Software \| Blended Learning \| Learning Platform - ceslimited.biz	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
cssdemo.net ↗	68 match 2 shared topics	Anspear \| Learning Design & LMS Technology	en	education-industry	robotsllmsaihumans	email phone	none
altma-learningdesign.com ↗	68 match 2 shared topics	Marianna Altamura – Efficient Instructional Design Solutions	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
ideaoninc.com ↗	68 match 2 shared topics	eLearning Company \| Top Elearning Companies \| IDEAON	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
amandatharvey.com ↗	67 match 2 shared topics	Instructional Designer \| amandatharvey.com	en	education-industry Wix	robots llmsaihumans	emailphone	none
daylearningdesign.com ↗	67 match 2 shared topics	Day Learning Design – Building scalable Agile learning programs.	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
mcclintic-design.com ↗	67 match 2 shared topics	Margaret G. McClintic, Instructional Designer	en	education-industry	robotsllmsaihumans	emailphone	partial · 1
brianmulliganid.com ↗	67 match 2 shared topics	Brian Mulligan, Instructional Design	en	education-industry	robotsllmsaihumans	emailphone	none
learning-templates.com ↗	67 match 2 shared topics	Learning Templates – Learning management by design	en	education-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
learnscape.io ↗	67 match 2 shared topics	Learnscape – Digital Learning Design and Development	en	education-industry WordPress	robotsllmsaihumans	emailphone	none
centerononlinelearning.org ↗	66 match 2 shared topics	Center on Online Learning Solutions \| Digital Learning Infrastructure for Schools & Districts	en	education-industry	robotsllmsaihumans	email phone	none
amandaahlers.com ↗	66 match 2 shared topics	Amanda Ahlers \| Instructional Designer	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.