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PuterCom Corporate IT Training | Microsoft Training Specialist — 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
termtraining.com ↗	74 match 1 shared topics	Term Training – Electrical training specialist	en	vocational-training WordPress WooCommerce	robots llmsaihumans	emailphone	none
demcontraining.com ↗	73 match 1 shared topics	Demcom Training Specialists \| Training Centre in Broxburn	United Kingdom~ en	vocational-training Lightspeed	robotsllmsaihumans	emailphone	none
academyit.com.au ↗	72 match 1 shared topics	Academy IT \| Your IT Training Specialists	Australia en	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
springboktraining.net ↗	71 match 1 shared topics	Springbok Training & Business Solutions \| Corporate Training Zambia	en	vocational-training	robotsllmsaihumans	email phone	partial · 8
aventislearning.com ↗	71 match 1 shared topics	Multi-Award-Winning Corporate Training Courses in Singapore	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
glidetraining.com ↗	71 match 1 shared topics	Glide Training - Professional IT Training for Business	United Kingdom~ en	vocational-training WordPress	robots llmsaihumans	email phone	none
academyit.edu.au ↗	70 match 1 shared topics	Academy IT \| Your IT Training Specialists	Australia en	vocational-training Lightspeed	robotsllmsaihumans	emailphone	none
a1training.biz ↗	70 match 1 shared topics	A1 Training (CCTV, SIA Training)	en	vocational-training Joomla	robotsllmsaihumans	email phone	none
besuasive.com ↗	70 match 1 shared topics	Presentation Training \| Suasive \| Corporate Coaching	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
betaristraining.com ↗	70 match 1 shared topics	Betaris Training \| Betaris Training	en	vocational-training WordPress	robotsllmsaihumans	email phone	none
acs.edu ↗	70 match 1 shared topics	ACS - Computer Training \| Vocational Training Courses in Queens	en	vocational-training WordPress Lightspeed	robotsllmsaihumans	emailphone	none
goshtraining.com ↗	70 match 1 shared topics	DSE Assessor Training \| Gosh Training	en	vocational-training Wix	robots llmsaihumans	emailphone	none
kd-safety.com ↗	69 match 1 shared topics	Corporate Self-Defense & De-Escalation Training \| KD-Safety	en	vocational-training	robotsllmsaihumans	emailphone	none
bi-jingo.com ↗	69 match 1 shared topics	Drama-Based Training \| Corporate Actors \| Professional Role Players	en	vocational-training WordPress	robotsllmsaihumans	emailphone	none
aztechtraining.com ↗	69 match 1 shared topics	AZTech Training \| Professional Training Courses Worldwide	United Arab Emirates~ en	vocational-training	robotsllmsaihumans	email phone	none
3cptraining.com ↗	69 match 1 shared topics	3CP Training \| Health & Social Care Training \| First Aid At Work	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
zoetraining.com ↗	69 match 1 shared topics	Zoe Training \| Denver Corporate Training and Development \| Online & In-Person	en	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aamctraining.edu.au ↗	69 match 1 shared topics	Mortgage Broking & Finance Training \| AAMC Training	Australia en	vocational-training WordPress	robots llmsaihumans	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.