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Pre Employment background checks and screening membership services | Backgroundsource.com — 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
hirerightexpress.net ↗	80 match 1 shared topics	Employment Background Checks, Background Screening \| HireRight	en	human-resources	robots llms ai humans	emailphone	full · 14
hireright.org ↗	80 match 1 shared topics	Employment Background Checks, Background Screening \| HireRight	en	human-resources	robots llms ai humans	emailphone	full · 14
hireright.net ↗	80 match 1 shared topics	Employment Background Checks, Background Screening \| HireRight	en	human-resources	robots llms ai humans	emailphone	full · 14
herobackgrounds.com ↗	78 match 1 shared topics	Background Checks, Employment & Drug Screening Services - Hero Backgrounds	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
cheexperts.com ↗	77 match 1 shared topics	Chexperts \| Background Checks and Employee Screening	en	human-resources Wix	robotsllmsaihumans	emailphone	none
backgroundsonline.com ↗	77 match 1 shared topics	Employment Background Screening - Backgrounds Online	US~ en	human-resources	robotsllmsaihumans	emailphone	none
backgroundpro.com ↗	77 match 1 shared topics	Background Screening Services \| BackgroundPro	US~ en	human-resources	robots llmsaihumans	email phone	partial · 8
intelligentbackground.com ↗	77 match 1 shared topics	Intelligent Background Check \| A Division of DURA-N-Company Enterprises, Inc. \| Pre-Employment and Employment Background Screening Services	en	human-resources Drupal	robotsllmsaihumans	emailphone	none
ibc-2.com ↗	77 match 1 shared topics	Intelligent Background Check \| A Division of DURA-N-Company Enterprises, Inc. \| Pre-Employment and Employment Background Screening Services	en	human-resources Drupal	robotsllmsaihumans	emailphone	none
partnershipscreening.com ↗	76 match 1 shared topics	Partnership Screening - Background Checks and Employee Screening Services in Richmond, Virginia	en	human-resources	robotsllmsaihumans	emailphone	none
intelligentcriminalchecks.com ↗	76 match 1 shared topics	Instant Criminal Background Checks Employment Screening	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
intelligentcriminalcheck.com ↗	76 match 1 shared topics	Instant Criminal Background Checks Employment Screening	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
intelligentchecks.com ↗	76 match 1 shared topics	Instant Criminal Background Checks Employment Screening	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
intelligentbackgroundscreening.com ↗	76 match 1 shared topics	Screening Intelligence Employment Screening Background Checks	US~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
intelligencescreening.com ↗	76 match 1 shared topics	Screening Intelligence Employment Screening Background Checks	US~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
internetcriminalchecks.com ↗	76 match 1 shared topics	Instant Criminal Background Checks Employment Screening	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
backgroundcheckpro.com ↗	76 match 1 shared topics	Comprehensive Background Check Services in Alabama \| BackgroundCheckPro	US~ en	human-resources WordPress	robotsllmsaihumans	email phone	none
integritycheckservice.com ↗	75 match 1 shared topics	Employment Screening and Global Background Checks \| Integrity Check Services	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.