similar sites

Browse

AI Report Tools

Sites similar to nbmus.com

Nbmus alternatives & similar sites

Northeast Benefits Management – Employee Benefits Simplified — 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 Human Resources →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
accessbenefitservices.com ↗	80 match 1 shared topics	Access Benefit Services \| Employee Benefits Solutions	US~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
carolinabenefitspartners.com ↗	75 match 1 shared topics	Carolina Benefits Partners - Employee Benefits - NC, SC, US	US~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
custombenefits.net ↗	74 match 1 shared topics	Custom Benefits Group - Employee Benefits Brokerage Agency	en	human-resources	robotsllmsaihumans	emailphone	partial · 8
lucentbenefits.com ↗	73 match 1 shared topics	TAK Benefits – Employee Benefit & HR Solutions	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
i2health.co.uk ↗	73 match 1 shared topics	PIB Employee Benefits \| Global Employee Benefits Leaders	GB en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
i2healthcare.co.uk ↗	73 match 1 shared topics	PIB Employee Benefits \| Global Employee Benefits Leaders	GB en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
navalicompany.com ↗	72 match 1 shared topics	Employee Benefits and HR Solutions - Benely	US~ en	human-resources WordPress	robotsllmsaihumans	email phone	none
acmeenroll.com ↗	71 match 1 shared topics	ACMEEnroll \| The Leader in benefits management.	en	human-resources	robotsllmsaihumans	emailphone	none
joinmaccbenefitsolutions.com ↗	71 match 1 shared topics	MACC Benefit Solutions \| Enhance Benefits Engagement Today	en	human-resources Squarespace Magento	robotsllmsaihumans	emailphone	none
usawtmanagement.com ↗	71 match 1 shared topics	USA - Employee Management	en	human-resources	robotsllmsaihumans	emailphone	none
useb-bcs.com ↗	70 match 1 shared topics	U.S. Employee Benefits Services Group – Benefits for your tomorrow	US~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
usebsg.com ↗	70 match 1 shared topics	U.S. Employee Benefits Services Group – Benefits for your tomorrow	US~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
employeemanagement.co.uk ↗	70 match 1 shared topics	Employee Management Ltd \| EML	GB en	human-resources WordPress WooCommerce	robotsllmsaihumans	email phone	none
4hornemployeebenefits.com ↗	70 match 1 shared topics	4-Horn Employee Benefits \| Benefits Resources for Open Enrollment	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
acumeneb.com ↗	70 match 1 shared topics	Acumen Employee Benefits in Aberdeen, Edinburgh & Glasgow, Scotland, UK	en	human-resources WordPress WooCommerce	robotsllmsaihumans	email phone	none
fastwearep.com ↗	70 match 1 shared topics	Employee Benefits Administration Solutions - JDI Group	US~ en	human-resources WordPress	robotsllmsaihumans	email phone	none
usemotherboard.com ↗	70 match 1 shared topics	Motherboard (formerly roHealth) \| Employee Benefits Platform	en	human-resources	robotsllmsaihumans	emailphone	none
actaiv.com ↗	70 match 1 shared topics	Actaiv \| Employee Benefits Activation Platform	en	human-resources	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.