Applicant AI is an AI-powered Applicant Tracking System (ATS) designed to accelerate the hiring process. It screens job applicants 10x faster by automatically scoring and filtering candidates. Use it as a standalone free ATS or as a pre-filter for your existing system to save up to 80% of your screening time and focus on top-tier talent.
Lightscreen is a data-driven AI recruiting platform that replaces traditional screening with intelligent voice interviews. It helps hiring teams identify the best candidates faster, eliminate bias, and predict long-term retention. Powered by voice AI experts from Apple and Google, it offers a scalable, flat-rate pricing model for businesses of all sizes.
Product overview
Applicant AI Product overview
Applicant AI is an AI-powered Applicant Tracking System (ATS) designed to accelerate the hiring process. It screens job applicants 10x faster by automatically scoring and filtering candidates. Use it as a standalone free ATS or as a pre-filter for your existing system to save up to 80% of your screening time and focus on top-tier talent.
Lightscreen Product overview
Lightscreen is a data-driven AI recruiting platform that replaces traditional screening with intelligent voice interviews. It helps hiring teams identify the best candidates faster, eliminate bias, and predict long-term retention. Powered by voice AI experts from Apple and Google, it offers a scalable, flat-rate pricing model for businesses of all sizes.
Detailed feature comparison
| Feature | Applicant AI | Lightscreen |
|---|---|---|
| Primary category | Talent Management | Talent Management |
| Added | 2025-08-08 | 2025-08-17 |
| Pricing | Freemium | Paid |
| Official website | applicantai.com | lightscreen.ai |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 4.5K | 1.8K |
| Monthly growth | -31.5% | -34.1% |
| Favorites | 135 | 129 |
| Details | View details | View details |
Applicant AI vs Lightscreen monthly traffic
Compare Applicant AI and Lightscreen by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Applicant AI vs Lightscreen monthly traffic comparison, Applicant AI currently shows 4.5K visits and Lightscreen shows 1.8K; Applicant AI has about 2.5 times the visible traffic of Lightscreen, an absolute difference of about 2.7K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Applicant AI monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 10.8K Monthly visits
- 2026/1: 17.8K Monthly visits
- 2026/2: 8.8K Monthly visits
- 2026/3: 7.2K Monthly visits
- 2026/4: 6.6K Monthly visits
- 2026/5: 4.5K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 35.63% | 1.6K |
| 🇺🇸United States | 29.79% | 1.3K |
| 🇲🇾Malaysia | 26.45% | 1.2K |
| 🇮🇩Indonesia | 5.47% | 246 |
| 🇳🇬Nigeria | 2.66% | 120 |
Search keywords
Lightscreen monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 4.4K Monthly visits
- 2026/1: 4K Monthly visits
- 2026/2: 3K Monthly visits
- 2026/3: 3.2K Monthly visits
- 2026/4: 2.7K Monthly visits
- 2026/5: 1.8K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 61.65% | 1.1K |
| 🇮🇳India | 38.35% | 683 |
Search keywords
Usage comparison
Compare the core capabilities of Applicant AI and Lightscreen
Applicant AI Core features
Lightscreen Core features
Use cases
Applicant AI Use cases
Lightscreen Use cases
Applicant AI vs Lightscreen:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Applicant AI vs Lightscreen comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Applicant AI is primarily listed under “Talent Management”, while Lightscreen is primarily listed under “Talent Management”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Pricing (Applicant AI: Freemium; Lightscreen: Paid); Monthly visits (Applicant AI: 4.5K; Lightscreen: 1.8K); Monthly growth (Applicant AI: -31.5%; Lightscreen: -34.1%); Favorites (Applicant AI: 135; Lightscreen: 129); Website (Applicant AI: applicantai.com; Lightscreen: lightscreen.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Applicant AI vs Lightscreen monthly traffic comparison, Applicant AI currently shows 4.5K visits and Lightscreen shows 1.8K; Applicant AI has about 2.5 times the visible traffic of Lightscreen, an absolute difference of about 2.7K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Applicant AI first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Applicant AI and Lightscreen currently overlap in shared categories: Talent Management, Recruiting, and Automation; shared tags: candidate screening, hiring, human resources, recruiting, and talent acquisition. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Applicant AI's unique categories/tags are AI recruiter, applicant tracking system, ATS, pre-employment testing, and resume parser; Lightscreen's are AI interview, applicant tracking, bias reduction, and voice AI. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Applicant AI has no verified rating, 0 comments, 135 favorites, and 133 likes;Lightscreen has no verified rating, 0 comments, 129 favorites, and 148 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Applicant AI first
Put Applicant AI on the priority trial list when the task aligns with “Talent Management” and especially AI recruiter, applicant tracking system, ATS, pre-employment testing, and resume parser. This follows recorded positioning and does not imply unlisted capabilities are absent.
Applicant AI also currently records: pricing is freemium, product type is website, 4.5K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Lightscreen first
Put Lightscreen on the priority trial list when the task aligns with “Talent Management” and especially AI interview, applicant tracking, bias reduction, and voice AI. This follows recorded positioning and does not imply unlisted capabilities are absent.
Lightscreen also currently records: pricing is paid, product type is website, 1.8K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Applicant AI and Lightscreen, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Applicant AI and Lightscreen?
Where does this comparison data come from?
What do unknown fields mean?
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