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LAPSEN – National CTE Network for Law & Public Safety — 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 Vocational Training →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
vocationalsafety.com ↗	68 match 1 shared topics	Vocational Safety - Master Workplace Safety with Engaging Video Lessons	en	vocational-training	robotsllmsaihumans	emailphone	none
3psafety.net ↗	68 match 1 shared topics	3P Safety — Safety Training, Staffing & Inspection Network	United States~ en	vocational-training WordPress	robots llmsaihumans	email phone	none
3rdalarmpst.com ↗	67 match 1 shared topics	Fire Training \| 3rd Alarm Public Safety Training, LLC \| United States	en	vocational-training Wix	robots llmsaihumans	emailphone	none
etninternational.com ↗	67 match 1 shared topics	ETN (Education and Training Network) International	en	vocational-training	robotsllmsaihumans	emailphone	none
vividpk.com ↗	67 match 1 shared topics	VIVID INSTITUTE OF OCCUPATIONAL SAFETY AND HEALTH - HOME	en	vocational-training Weebly	robotsllmsaihumans	emailphone	none
mchtraining.net ↗	66 match 1 shared topics	MCH Training Grantee Network \| Technical Assistance for DMCHWD Grantees	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
pacificsafetygroup.org ↗	66 match 1 shared topics	Home \| Pacific Safety Group	en	vocational-training Weebly Square Online	robotsllmsaihumans	emailphone	none
a-vertfire.co.uk ↗	66 match 1 shared topics	Expert Fire Safety Solutions for All Needs	United Kingdom en	vocational-training Weebly	robotsllmsaihumans	email phone	none
achievesafety.co.uk ↗	66 match 1 shared topics	SHEA Passport and National Water Hygiene Training Courses	United Kingdom en	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
3cpathways.com ↗	66 match 1 shared topics	C3 Pathways - Public Safety Training \| Exercises \| Consulting	United States~ en	vocational-training	robotsllmsaihumans	emailphone	none
lakelandsafetygroup.com ↗	66 match 1 shared topics	HOME - Lakeland Occupational Health and Safety Group	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
consultwithoutlier.com ↗	66 match 1 shared topics	Association of Reciprocal Safety Councils - ARSC	United States~ en	vocational-training WordPress	robotsllmsaihumans	emailphone	partial · 8
damsafety.co ↗	66 match 1 shared topics	ICID-AFA - Certificate Course on Dam and Network Safety Assurance	Colombia en	vocational-training	robotsllmsaihumans	email phone	none
digitalwomen.live ↗	66 match 1 shared topics	Digital Women — The UK's Leading Network for Women Upskilling in Digital & AI	en	vocational-training	robots llmsaihumans	emailphone	none
ajmailer.co.uk ↗	66 match 1 shared topics	AJ Training, National IT & Soft Skills training	United Kingdom en	vocational-training	robotsllmsaihumans	email phone	none
3-education.com ↗	66 match 1 shared topics	Learn Safe Work at Height Courses for the UK and Overseas	en	vocational-training	robotsllmsaihumans	email phone	none
bdnsi.com ↗	66 match 1 shared topics	Bangladesh National Skill Institute	en	vocational-training	robotsllmsaihumans	emailphone	none
alapierreentreprises.org ↗	66 match 1 shared topics	CCPSE — Vocational & Professional Training	HT~ en	vocational-training	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.