Automatically screen job applicants to identify top candidates instantly
Applicant AI uses artificial intelligence to filter out low-quality job applications so hiring teams can focus on the best candidates. It analyzes resumes and cover letters to detect AI-generated content that makes applications look generic, while prioritizing applicants who genuinely match your requirements. The tool integrates with existing applicant tracking systems to save 80% of screening time according to user reports.
Automatically evaluates and ranks applicants based on criteria
Works with Greenhouse, Lever, and other tracking systems
Prioritizes candidates using your unique instructions
Meets EU AI regulation requirements for ethical use
Sends customizable rejection emails instantly
Detects and filters generic AI-written content in resumes/cover letters while identifying genuinely qualified candidates
Yes, integrates with Greenhouse, Lever, Workable and other ATS platforms as a pre-filter
Yes, fully compliant with EU AI Act requirements for ethical hiring practices
This tool is best for:
Explore more niche AI tool websites by clicking on a tag* (works only if it has enough tools).
Applicant AI can be integrated with these apps and services:
Recent data shows that Applicant AI has 18.9K monthly visits (-9.6% decrease from the previous month), 47.0% bounce rate, and average 2.84 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 36% of total traffic. SEO performance is shown by 5 tracked keywords, with "ai ats" being the top-performing keyword with 430 monthly searches. See below for more info.
Monthly Visits
18.9K
Pages per Visit
2.84
Bounce Rate
47.0%
Average Time on Site
42s
| SEO Keyword | Volume | CPC |
|---|---|---|
| ai ats | 430 | $28.53 |
| simply bread co careers | 260 | - |
| applicantai | 90 | - |
| tao.bot careers | 10 | - |
| sideshift | 31.4K | $1.38 |
| Source | Traffic Share |
|---|---|
| Direct | 38% |
| Search | 31% |
| Social | 10% |
| Referrals | 20% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 36% |
 | 22% |
 | 14% |
 | 7% |
 | 5% |
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