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GroupOne | Background Checks | Employment Verifications — 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
365backgroundchecks.com ↗	77 match 1 shared topics	Employment Background Check & History Verification	en	human-resources WordPress	robotsllmsaihumans	emailphone	partial · 8
accreditedbackgroundchecks.com ↗	75 match 1 shared topics	Employment Background Checks \| Accredited Background Checks	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
staffchecks.com ↗	74 match 1 shared topics	Pre employment & background checks - StaffChecks NZ	en	human-resources	robotsllmsaihumans	emailphone	none
mytalentio.com ↗	74 match 1 shared topics	Background Checks & Employment Screening - Better Background Checks	United States~ en	human-resources	robotsllmsaihumans	email phone	none
employmentscreeninginc.com ↗	74 match 1 shared topics	Employment Screening, Inc \| Background Checks and Drug Testing	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
employmenthistorycheck.com ↗	73 match 1 shared topics	Employment History Check, Employment Background Checks	en	human-resources	robotsllmsaihumans	emailphone	none
mylockchain.io ↗	73 match 1 shared topics	FastPass - Employment Verification	en	human-resources	robotsllmsaihumans	emailphone	none
4slbackgroundcheck.com ↗	73 match 1 shared topics	Background Check Services, Background Verification Company India	en	human-resources	robotsllmsaihumans	email phone	none
aaainfosystems.com ↗	73 match 1 shared topics	BCS Background Screening \| FCRA Employment Background Checks	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
employeebackgroundchecks.com ↗	72 match 1 shared topics	Employee Background Checks \| Top 5 Considerations	en	human-resources	robotsllmsaihumans	emailphone	none
delvium.com ↗	72 match 1 shared topics	Pre-Employment Screening Software \| Delvium Background Check	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
csscheck360.com ↗	72 match 1 shared topics	Background Checks, Employment… \| DISA Global Solutions - Formerly GHRR	en	human-resources Adobe Experience Manager	robotsllmsaihumans	emailphone	none
easybackgrounds.com ↗	72 match 1 shared topics	Background Checks, Employment… \| DISA Global Solutions - Formerly GHRR	en	human-resources Adobe Experience Manager	robotsllmsaihumans	emailphone	none
d2screening.com ↗	72 match 1 shared topics	D2 Screening – Pre-employment Background Checks	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
alaskabackgroundchecks.com ↗	72 match 1 shared topics	Alaska Criminal Background Checks for Pre-Employment	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
staffbackgroundchecks.com ↗	71 match 1 shared topics	Staffing Background Checks	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
staffingbackgroundchecks.com ↗	71 match 1 shared topics	Staffing Background Checks	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
genesisbackgroundscreening.com ↗	71 match 1 shared topics	Background Checks for Employers: Genesis Background Screening	en	human-resources WordPress WooCommerce	robotsllmsaihumans	email phone	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.