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Benefitgrp alternatives & similar sites

Benefit Group | Benefits Reconstructed — 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 Insurance →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
kota.io ↗	70 match shared topic	Employee Benefits Platform for Modern Teams \| Kota	United Kingdom~ en	human-resources	robotsllmsaihumans	emailphone	none
enrollfirst.com ↗	70 match shared topic	Enrollment First \| Benefits Enrollment & Administration Platform	United States~ en	insurance WordPress Lightspeed	robotsllmsaihumans	email phone	none
agencybuilderpro.com ↗	55 match shared topic	Insurance Agent Recruiting Service \| Agency Builder Pro	en	insurance	robots llmsaihumans	email phone	partial · 8
assurexglobal.com ↗	50 match shared topic	Assurex Global – The world’s largest privately-held commercial insurance, risk management and employee benefits brokerage group.	en	insurance WordPress	robotsllmsaihumans	emailphone	none
bamboohr.com ↗	42 match shared topic	BambooHR: The Complete HR Software for People, Payroll & Benefits	United States~ en	human-resources	robotsllmsaihumans	emailphone	none
metlife.com ↗	42 match shared topic	Insurance and Employee Benefits \| MetLife	en	insurance Adobe Experience Manager	robotsllmsaihumans	emailphone	none
workforceedge.com ↗	42 match shared topic	Education Benefits & Upskilling Platform \| Workforce Edge	en	human-resources Adobe Experience Manager	robotsllmsaihumans	emailphone	none
corporate-benefits.eu ↗	42 match shared topic	corporate benefits – Employee Offers From the Market Leader	European Union en	human-resources TYPO3	robotsllmsaihumans	email phone	none
alliant.com ↗	42 match shared topic	Insurance, Risk Management, Employee Benefits, Consulting	en	insurance	robotsllmsaihumans	emailphone	none
goempyrean.com ↗	42 match shared topic	Empyrean \| Smarter Benefits Administration & Employee Engagement	en	human-resources HubSpot	robots llmsaihumans	emailphone	none
inszoneinsurance.com ↗	42 match shared topic	Inszone Insurance: Business \| Personal \| Benefits	United States~ en	insurance WordPress	robotsllmsaihumans	emailphone	none
alight.com ↗	42 match shared topic	A benefits experience your employees will love. The efficiency your business needs. \| Alight	en	human-resources	robotsllmsaihumans	emailphone	none
ipsonline.net ↗	42 match shared topic	HR, Benefits, and Payroll Software for Your Business \| Inova Payroll	United States~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
metlife.co.uk ↗	42 match shared topic	MetLife \| Individual Protection, Employee Benefits, Retirement and Investment	United Kingdom en	insurance Adobe Experience Manager	robotsllmsaihumans	emailphone	none
winstonbenefits.com ↗	42 match shared topic	Home - Winston Benefits	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
benefitmall.com ↗	42 match shared topic	CRC Benefits - General Agency Broker Services for Employee Benefits & Insurance Plans	en	insurance	robotsllmsaihumans	email phone	none
agencyleverage.com ↗	42 match shared topic	Benefits Influencer	en	human-resources	robotsllmsaihumans	emailphone	none
fertifa.com ↗	42 match shared topic	Reproductive Health Benefits for Employers \| Fertifa	en	human-resources Webflow	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.