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Background Checks - Employment, Volunteer Screenings - Datasource Background Screening Services — 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
ezscreensolutions.com ↗	76 match 1 shared topics	Employment Background Screening Company \| Employee Background Check Process	en	human-resources WordPress	robotsllmsaihumans	email phone	none
datacheckinc.com ↗	75 match 1 shared topics	Pre-Employment Background Check & Screening Service \| DataCheck	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
3rddegreescreening.com ↗	74 match 1 shared topics	3rd Degree Background Check Services - Fast, Accurate Employee Screening \| 3rd Degree Screening	en	human-resources	robotsllmsaihumans	emailphone	none
1sourcebackground.com ↗	74 match 1 shared topics	3rd Degree Background Check Services - Fast, Accurate Employee Screening \| 3rd Degree Screening	en	human-resources	robotsllmsaihumans	emailphone	none
onesourcescreening.com ↗	73 match 1 shared topics	OneSource Screening - Fast & Reliable Background Screening Services	United States~ en	human-resources WordPress	robotsllmsaihumans	emailphone	partial · 9
databaserecords.com ↗	73 match 1 shared topics	Employment Background Checks & Nationwide Screening \| DatabaseRecords.com	en	human-resources	robotsllmsaihumans	emailphone	none
stealthpartners.com ↗	73 match 1 shared topics	Background Check Screening for Employment and Tenants	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
essconsumercorner.net ↗	72 match 1 shared topics	Employment Screening Services	en	human-resources	robotsllmsaihumans	emailphone	none
essconsumercorner.org ↗	72 match 1 shared topics	Employment Screening Services	en	human-resources	robotsllmsaihumans	emailphone	none
4slbackgroundcheck.com ↗	72 match 1 shared topics	Background Check Services, Background Verification Company India	en	human-resources	robotsllmsaihumans	email phone	none
dotdriverinsight.com ↗	72 match 1 shared topics	Employee Background Screening - aINSIGHT	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
brightiprospectcheck.com ↗	71 match 1 shared topics	Employment Screening Services \| iprospectcheck	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
davisinvestigationservices.com ↗	71 match 1 shared topics	Pre-Employment Screening Services \| Secure. Compliant. \| DIS	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fadv.com ↗	71 match 1 shared topics	Global Background Checks & Screenings \| First Advantage	en	human-resources WordPress	robots llmsaihumans	emailphone	none
fadvcheck.com ↗	71 match 1 shared topics	Global Background Checks & Screenings \| First Advantage	en	human-resources WordPress	robots llmsaihumans	emailphone	none
thereferencingagency.co.uk ↗	71 match 1 shared topics	The Referencing Agency - Pre-employment Screening Service	United Kingdom en	human-resources	robotsllmsaihumans	emailphone	none
d2screening.com ↗	71 match 1 shared topics	D2 Screening – Pre-employment Background Checks	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
visionbackgrounds.com ↗	71 match 1 shared topics	Vision Background Services - Vision Backgrounds	en	human-resources WordPress	robots llmsaihumans	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.