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Global Invacom Group — 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 Telecommunications Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
2comgroup.com ↗	72 match 1 shared topics	2Com Group, LLC	en	telecommunications-industry	robotsllmsaihumans	email phone	none
csmglobalnetwork.com ↗	67 match 1 shared topics	CSM Global Network	en	telecommunications-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sanatel.com ↗	66 match 1 shared topics	Sanatel \| Global Network Solutions	en	telecommunications-industry Wix	robotsllmsaihumans	emailphone	none
chinatelecomglobal.com ↗	66 match 1 shared topics	China Telecom Global \| World-Class Integrated Information Service Provider	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
lycagroup.com ↗	66 match 1 shared topics	LYCA Group \| Global Leader in Telecommunications, Media & Technology	en	telecommunications-industry WordPress	robotsllmsaihumans	emailphone	none
lycatel.com ↗	66 match 1 shared topics	LYCA Group \| Global Leader in Telecommunications, Media & Technology	en	telecommunications-industry WordPress	robotsllmsaihumans	emailphone	none
mcard.net ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
t-group.eu ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	European Union en	telecommunications-industry	robotsllmsaihumans	emailphone	none
tgroup.eu ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	European Union en	telecommunications-industry	robotsllmsaihumans	emailphone	none
dtag.be ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	Belgium en	telecommunications-industry	robotsllmsaihumans	emailphone	none
onlifestyle.com ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
onleisure.com ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
onleisure-lifestyle.com ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
onknowhow.com ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
onkarrierebildung.com ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
onkarriere.com ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
onhandys.com ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-industry	robotsllmsaihumans	emailphone	none
onhandy.com ↗	66 match 1 shared topics	Corporate Website: Information about the Group \| Deutsche Telekom	en	telecommunications-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.