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Kaig Group | Diversified Business | Group of Companies — 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 Business →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
southernnewhampshirenetworkinggroup.com 67 match
shared topic
Southern NH Networking Group | An Online NH Business Network Group en businessWordPressWooCommerce robotsllmsaihumans emailphone none
bninh.com 67 match
shared topic
BNI NH - Local Business Networking Groups & Events Near You | English (American US) en businessWordPress robotsllmsaihumans emailphone none
bni.com 67 match
shared topic
Business Networking Groups & Referral Organization | BNI: Business Network International en businessWordPress robotsllmsaihumans emailphone none
visma.com 67 match
shared topic
Visma | We own and shape business software companies into market leaders. Norway~ en business robotsllmsaihumans emailphone none
newpages.asia 67 match
shared topic
NEWPAGES Asia - Leading Business Portal & Connect with B2B Companies en business robotsllmsaihumans emailphone none
bniamerica.com 67 match
shared topic
Business Groups and Referral Networking | BNI America (USA) | English (US) United States~ en business robotsllmsaihumans emailphone none
spandex.com 67 match
shared topic
Spandex Group | Gateway to the Spandex Group of Companies en businessWordPress robotsllmsaihumans emailphone full · 12
bnisfbay.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI San Francisco Bay | English (American US) United States~ en businessWordPress robotsllmsaihumans emailphone none
bnicv.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI Sacramento, California Capital Region | English (American US) United States~ en businessWordPress robotsllmsaihumans emailphone none
bnisd.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI San Diego, California | English (American US) United States~ en businessWordPress robotsllmsaihumans emailphone none
bnimidamerica.com 67 match
shared topic
Business Networking Referral Organizaton Groups | BNI Mid America St Louis Missouri | English (American US) United States~ en business robotsllmsaihumans emailphone none
bniutahsouth.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI Utah South | English (American US) United States~ en business robotsllmsaihumans emailphone none
bnitennessee.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI Middle Tennessee, Kentucky, Southern Indiana | English (American US) en businessWordPress robotsllmsaihumans emailphone none
bnilouisiana.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI Louisiana | New Orleans, Baton Rouge | English (American US) United States~ en business robotsllmsaihumans emailphone none
bninorthernca.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI Northern California Region | English (American US) United States~ en businessWordPress robotsllmsaihumans emailphone none
bniutahnorth.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI Utah North | English (American US) United States~ en business robotsllmsaihumans emailphone none
dcbni.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI Washington DC | English (American US) United States~ en business robotsllmsaihumans emailphone none
bnichicago.com 67 match
shared topic
Business Networking Referral Organization Groups | BNI Chicago | English (American US) United States~ en business 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:

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.