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CleanOS Training — Staff Training for UK Cleaning Businesses — 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
proactiontraining.co.uk ↗	73 match 1 shared topics	Proaction Training Business Traing Courses	GB en	vocational-training Contao	robotsllmsaihumans	email phone	none
ibtalearning.com ↗	72 match 1 shared topics	Training Organization \| Business Training	en	vocational-training	robotsllmsaihumans	email phone	none
ovencleaningtraining.co.uk ↗	72 match 1 shared topics	Oven Cleaning Training Courses Business Set Up & Equipment UK	GB en	vocational-training	robotsllmsaihumans	emailphone	none
abilitiesvault.com ↗	71 match 1 shared topics	Business Training - Mastery Training Services	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
abilityvault.com ↗	71 match 1 shared topics	Business Training - Mastery Training Services	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
abilitytrainingservices.com ↗	71 match 1 shared topics	Business Training - Mastery Training Services	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
abilitytrainingservice.com ↗	71 match 1 shared topics	Business Training - Mastery Training Services	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
astleyhiretraining.co.uk ↗	70 match 1 shared topics	IPAF Training \| PASMA Training courses \|	GB en	vocational-training	robotsllmsaihumans	email phone	none
drcalise.com ↗	70 match 1 shared topics	SUCCEED \| Practical Business Training Built for Action	en	vocational-training Wix	robots llmsaihumans	emailphone	none
lukashealthandsafetytraining.co.uk ↗	70 match 1 shared topics	Health and Safety Training \| Lukas Training UK	GB en	vocational-training	robotsllmsaihumans	email phone	none
ipaftraining.uk ↗	70 match 1 shared topics	IPAF Training – Best IPAF Training Company	GB en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
gearlessadsfleet.uk ↗	70 match 1 shared topics	Fleet Driver Training for Businesses in London \| UK Experts	GB en	vocational-training WordPress	robotsllmsaihumans	email phone	none
ipaftraining.org.uk ↗	70 match 1 shared topics	IPAF Training – Best IPAF Training Services	GB en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
paradisetraining.co.uk ↗	70 match 1 shared topics	Paradise Training - Business Training Courses in Althorp Northampton	GB en	vocational-training	robotsllmsaihumans	email phone	none
trainingconnection.com ↗	70 match 1 shared topics	Los Angeles Computer and Business Skills Training Classes \| Training Connection	US~ en	vocational-training	robotsllmsaihumans	email phone	none
pandptraining.com ↗	70 match 1 shared topics	P & P Training - People and Process Training	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
abbeycordtraining.co.uk ↗	70 match 1 shared topics	Abbeycord Training - NRSWA Training Shrewsbury	GB en	vocational-training	robotsllmsaihumans	emailphone	none
academyofbusinesstraining.com ↗	70 match 1 shared topics	Business Skills Training Courses	en	vocational-training WordPress WooCommerce	robots llmsaihumans	emailphone	partial · 8

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.