OSINT People Search — How AI Finds Public Information
OSINT people search explained — how AI tools scan public data to build digital footprint reports from social media, records, and web sources.
OSINT People Search — How AI Finds Public Information
OSINT people search uses publicly available data to build a picture of someone's online presence. Unlike traditional people search tools that rely on single databases, OSINT aggregates information from multiple sources — social media, public records, news articles, and more.
What OSINT Tools Actually Scan
An OSINT search typically covers:
- Social media profiles — LinkedIn, Instagram, Facebook, Twitter/X
- Public records — court filings, business registrations, property records
- News and media — press mentions, interviews, forum posts
- Domain data — website ownership, archived pages
The challenge is volume. Someone active on social media for 5 years might have 1,800+ posts on a single platform, plus thousands of comments across others. Manual review is impractical.
Why AI Changes OSINT
AI processes this volume in minutes. It flags inconsistencies in claimed backgrounds, identifies connections to problematic groups, and surfaces red flags that would take a human researcher hours to find.
Traditional OSINT requires expertise and time. AI-powered tools make the same analysis accessible to HR teams, business owners, and anyone conducting due diligence.
How PublicInfo.ai Uses OSINT
PublicInfo.ai runs multiple AI agents that scan public sources for a given profile. Each report includes source links so you can verify every finding. Reports are generated on-demand — we don't store personal profiles or maintain databases.
Try PublicInfo.ai — AI-powered digital footprint reports from LinkedIn, Instagram, and Facebook. Results in 30 minutes, from $6/report.
Related: Digital Footprint Report — What You Get & Who Needs One