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Supporting Inclusive Employment Opportunities | neba — 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
4thefutureconsulting.com ↗	69 match 1 shared topics	Home \| 4 The Future Consulting Group \| Pre-Employment Transition Services \| Houston, Texas	en	vocational-training Wix	robots llmsaihumans	emailphone	none
chesteracademy.co.uk ↗	69 match 1 shared topics	Chester Academy - Business Training & Opportunities	GB en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
blueberryacademy.co.uk ↗	68 match 1 shared topics	Blueberry Academy – Supporting people to progress into learning and employment	GB en	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
balloonsandopportunity.org ↗	68 match 1 shared topics	Balloons and Opportunity \| Globos y Oportunidad	en	vocational-training	robotsllmsaihumans	emailphone	none
akg.com.au ↗	67 match 1 shared topics	AKG Australia - Employment, Health, Training, Community	AU en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aensa.com.au ↗	67 match 1 shared topics	AEN SA - Apprentice Employment Network South Australia	AU en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
axomtech.org ↗	67 match 1 shared topics	Axomtech Skill Education Council \| Computer Training Center & Franchise Opportunities	IN~ en	vocational-training	robotsllmsaihumans	email phone	none
eetgroup.co.uk ↗	67 match 1 shared topics	Employment Education and Training \| Eet Group \| England	GB en	vocational-training Wix	robots llmsaihumans	emailphone	none
navprakash.com ↗	66 match 1 shared topics	Nav Prakash Manav Kalyan Samiti - Empowering Communities \| Nav Prakash Manav Kalyan Samiti	en	vocational-training	robotsllmsaihumans	emailphone	none
haystackafrica.com ↗	66 match 1 shared topics	Haystack Africa \| A platform connecting accountants to employment	en	vocational-training	robotsllmsaihumans	emailphone	partial · 8
aboriginalminingacademy.org.au ↗	66 match 1 shared topics	Meaningful Employment for Aboriginal People \| Western Australia \| AAMA	AU en	vocational-training Wix	robots llmsaihumans	emailphone	none
azcarestudents.com ↗	66 match 1 shared topics	Students Employment Program - Leading Edge Senior Care	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
apmtraining.org.uk ↗	66 match 1 shared topics	Master Project Management with Comprehensive APM Training: Enhance Your Skills and Career Opportunities	GB en	vocational-training	robotsllmsaihumans	emailphone	none
abueladoulas.com ↗	66 match 1 shared topics	Abuela Doulas \| Inclusive UK Doula Training	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
learningtowork.org.uk ↗	66 match 1 shared topics	Learning to Work \| Bringing Opportunity to Young People	GB en	vocational-training	robotsllmsaihumans	email phone	none
urbanopportunitygroup.com ↗	66 match 1 shared topics	Urban opportunity group	US~ en	vocational-training	robotsllmsaihumans	emailphone	none
accessindustries.com.au ↗	66 match 1 shared topics	NDIS Employment, Timber, Sewing & Packing \| Access Industries NSW	AU en	vocational-training WordPress	robotsllmsaihumans	email phone	none
swappro.app ↗	66 match 1 shared topics	SwapPro - Training & Employment Platform	en	vocational-training	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.