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Zipterview alternatives & similar sites

Zipterview — Screen 50 candidates without booking 50 calls — 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
disa.com ↗	61 match shared topic	Workforce Compliance & Screening Solutions \| DISA	en	human-resources	robotsllmsaihumans	emailphone	none
thepbsa.org ↗	61 match shared topic	Home - Professional Background Screening Association	en	human-resources	robotsllmsaihumans	emailphone	none
clearstar.net ↗	61 match shared topic	Employment Screening Services & Compliance \| ClearStar	en	human-resources WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
tengai.io ↗	61 match shared topic	Tengai Automated Screening \| Faster, Smarter Hiring	en	human-resources HubSpot	robotsllmsaihumans	emailphone	none
fadv.com ↗	61 match shared topic	Global Background Checks & Screenings \| First Advantage	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
veremark.com ↗	61 match shared topic	Global, compliant, fast background checks for pre-employment screening \| Veremark	en	human-resources	robotsllmsaihumans	emailphone	none
screeningintelligence.com ↗	61 match shared topic	Screening Intelligence Employment Screening Background Checks	United States~ en	human-resources WordPress	robotsllmsaihumans	emailphone	none
instantcriminalchecks.com ↗	61 match shared topic	Instant Criminal Background Checks Employment Screening	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
hireright.com ↗	61 match shared topic	Employment Background Checks, Background Screening \| HireRight	en	human-resources	robotsllmsaihumans	emailphone	none
preemploymentdirectory.com ↗	61 match shared topic	Find the Best Background Screening Companies Near You	en	human-resources WordPress WooCommerce	robotsllmsaihumans	email phone	none
backgroundsonline.com ↗	61 match shared topic	Employment Background Screening - Backgrounds Online	United States~ en	human-resources	robotsllmsaihumans	emailphone	none
cisive.com ↗	61 match shared topic	The most accurate employee background screening available \| Cisive	en	human-resources HubSpot	robotsllmsaihumans	emailphone	none
universalbackground.com ↗	61 match shared topic	UBS - Universal Background Screening Employment Background Checks & Drug Testing	en	human-resources WordPress	robotsllmsaihumans	email phone	none
continuousscreeningservices.com ↗	61 match shared topic	Best practice in mitigating risk - Continuous Screening	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
drugandalcoholscreeningservices.com ↗	61 match shared topic	Best practice in mitigating risk - Drug and Alcohol Screening Services	en	human-resources WordPress	robotsllmsaihumans	emailphone	none
firstchoicehiring.com ↗	61 match shared topic	FirstChoice Hiring: Qualified Candidates + Real Solutions = Happy Hiring	en	human-resources	robotsllmsaihumans	emailphone	none
hirevire.com ↗	61 match shared topic	Hirevire \| Video Screening Software for Faster Hiring	en	human-resources	robotsllmsaihumans	emailphone	none
bamboohr.com ↗	55 match shared topic	BambooHR: The Complete HR Software for People, Payroll & Benefits	United States~ 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.