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Sites similar to bchexcorp.com

Bchexcorp alternatives & similar sites

Background Check Services | Fast & Accurate | Bchex — 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
bchex.io ↗	85 match shared topic	Background Check Services \| Fast & Accurate \| Bchex	en	human-resources HubSpot	robotsllmsaihumans	emailphone	none
veremark.com ↗	70 match shared topic	Global, compliant, fast background checks for pre-employment screening \| Veremark	en	human-resources	robotsllmsaihumans	emailphone	none
screeninghero.com ↗	70 match shared topic	Free Background Check Training for HR — SHRM-Certified Course (3.5 PDCs) \| Bchex	en	human-resources HubSpot	robotsllmsaihumans	emailphone	none
jdp.com ↗	70 match shared topic	Employment Screening Services & Background Check Company - JDP	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
certn.co ↗	65 match shared topic	The World's Easiest Background Checks \| Certn	Colombia en	human-resources WordPress	robotsllmsaihumans	emailphone	none
fadv.com ↗	65 match shared topic	Global Background Checks & Screenings \| First Advantage	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
screeningintelligence.com ↗	65 match shared topic	Screening Intelligence Employment Screening Background Checks	United States~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
instantcriminalchecks.com ↗	65 match shared topic	Instant Criminal Background Checks Employment Screening	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
hireright.com ↗	65 match shared topic	Employment Background Checks, Background Screening \| HireRight	en	human-resources	robotsllmsaihumans	emailphone	none
cisive.com ↗	65 match shared topic	The most accurate employee background screening available \| Cisive	en	human-resources HubSpot	robotsllmsaihumans	emailphone	none
universalbackground.com ↗	65 match shared topic	UBS - Universal Background Screening Employment Background Checks & Drug Testing	en	human-resources WordPress	robotsllmsaihumans	email phone	none
ekentech.com ↗	65 match shared topic	Background Check Company, Pre Employment Screening \| KENTECH	United States~ en	human-resources Squarespace	robotsllmsaihumans	emailphone	none
kellyservices.com ↗	60 match shared topic	Kelly Services \| Workforce Solutions and Talent Strategy	en	human-resources HubSpot	robotsllmsaihumans	emailphone	none
thepbsa.org ↗	60 match shared topic	Home - Professional Background Screening Association	en	human-resources	robotsllmsaihumans	emailphone	none
trustmineral.com ↗	60 match shared topic	HR and Compliance Services & Platform \| Mineral	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
kellyservices.us ↗	60 match shared topic	Kelly Services \| Workforce Solutions and Talent Strategy	United States en	human-resources HubSpot	robotsllmsaihumans	emailphone	none
clearstar.net ↗	60 match shared topic	Employment Screening Services & Compliance \| ClearStar	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
tapcheck.com ↗	60 match shared topic	Tapcheck®: Earned Wage Access \| Same Day Pay Made Simple	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.