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Intelligent Background Check | A Division of DURA-N-Company Enterprises, Inc. | Pre-Employment and Employment 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
backgroundsource.com ↗	77 match 1 shared topics	Pre Employment background checks and screening membership services \| Backgroundsource.com	en	human-resources	robotsllmsaihumans	emailphone	none
4slbackgroundcheck.com ↗	74 match 1 shared topics	Background Check Services, Background Verification Company India	en	human-resources	robotsllmsaihumans	email phone	none
backgroundsonline.com ↗	74 match 1 shared topics	Employment Background Screening - Backgrounds Online	United States~ en	human-resources	robotsllmsaihumans	emailphone	none
herobackgrounds.com ↗	73 match 1 shared topics	Background Checks, Employment & Drug Screening Services - Hero Backgrounds	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
backgroundcheckpro.com ↗	73 match 1 shared topics	Comprehensive Background Check Services in Alabama \| BackgroundCheckPro	United States~ en	human-resources WordPress	robotsllmsaihumans	email phone	none
clearcheck.app ↗	72 match 1 shared topics	Fast Background Checks - Employment Verification Service/App	en	human-resources WordPress WooCommerce	robots llmsaihumans	emailphone	none
clearvisacheck.app ↗	72 match 1 shared topics	Fast Background Checks - Employment Verification Service/App	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cheexperts.com ↗	72 match 1 shared topics	Chexperts \| Background Checks and Employee Screening	en	human-resources Wix	robotsllmsaihumans	emailphone	none
365backgroundchecks.com ↗	71 match 1 shared topics	Employment Background Check & History Verification	en	human-resources WordPress	robotsllmsaihumans	emailphone	partial · 8
backgroundpro.com ↗	71 match 1 shared topics	Background Screening Services \| BackgroundPro	United States~ en	human-resources	robots llmsaihumans	email phone	partial · 8
3rddegreescreening.com ↗	71 match 1 shared topics	3rd Degree Background Check Services - Fast, Accurate Employee Screening \| 3rd Degree Screening	en	human-resources	robotsllmsaihumans	emailphone	none
1sourcebackground.com ↗	71 match 1 shared topics	3rd Degree Background Check Services - Fast, Accurate Employee Screening \| 3rd Degree Screening	en	human-resources	robotsllmsaihumans	emailphone	none
ichekdirect.com ↗	71 match 1 shared topics	Online Background Check Services \| Fast and Accurate Verification	en	human-resources	robotsllmsaihumans	email phone	none
chcked.com ↗	70 match 1 shared topics	CHCKED — Background Screening for Modern Employers	en	human-resources	robotsllmsaihumans	email phone	none
d2screening.com ↗	70 match 1 shared topics	D2 Screening – Pre-employment Background Checks	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
clearstardrugtests.com ↗	70 match 1 shared topics	Employment Screening Services & Compliance \| ClearStar	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
clearshadow.net ↗	70 match 1 shared topics	Employment Screening Services & Compliance \| ClearStar	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
clearstar.net ↗	70 match 1 shared topics	Employment Screening Services & Compliance \| ClearStar	en	human-resources WordPress	robotsllmsaihumans	emailphone	partial · 8

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.