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Technology4 min read
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Smart Detection — How SUAR Identifies Ghost Jobs

Algorithms that analyse 12 warning signals in every job listing.

SUAR doesn't guess. Every listing is analysed based on concrete data: how long it's been posted, how often it's been re-posted, whether the recruiter responds, and much more.

The 12 signals SUAR analyses

Posting age— Listings open for 60+ days are suspicious.

Re-posting frequency— Reappearing every 2 weeks with identical text is a red flag.

Employer history— Has the company posted similar roles before without hiring?

Response rate— How many applicants report receiving feedback?

Vague description— "Looking for a dynamic person" with no concrete requirements.

Missing or unrealistic salary— No salary listed may signal no real budget.

Real Detection Example

CASE STUDY

GlobalRetail Inc.

Digital Marketing Analyst

January 3, 2025

Posted for the 3rd time in 6 months (98% identical text)
Company hasn't hired anyone for this role in 2 years
No candidates on Glassdoor report reaching a 2nd interview
Description requires 7 years experience for entry-level salary
SUAR Score: Warning — Repeated re-posting + zero hires = 89% ghost

How it works in practice

Step 1: Paste the job link or use the CV Matcher to find listings.

Step 2: SUAR cross-references data with our posting history and candidate feedback.

Step 3: You receive a reliability score with an explanation of each signal detected.

12
signals analysed per listing
87%
accuracy in detecting ghost jobs
<3s
analysis time per listing

Stop guessing. Let SUAR analyse before you apply.

Try SUAR for Free

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