How we calculate trust scores, verify offices, and assess recruiter authenticity — transparently.
HireLens uses AI to analyze publicly available information: company domain reputation, website quality, social media presence, public office data, hiring pattern signals, salary transparency, and recruiter email patterns.
We do not access private databases, court records, or non-public information. All analysis is based on publicly discoverable data.
The overall score is a weighted average of 10 individual signal scores:
| Signal | Weight | What We Measure |
|---|---|---|
| Domain Trust | 15% | Domain age, DNS records, HTTPS, registrar quality |
| Website Quality | 12% | Content depth, professionalism, contact info |
| Hiring Transparency | 13% | Clear JDs, honest salary ranges, structured process |
| Office Verification | 11% | Independently verifiable office addresses |
| Recruiter Authenticity | 14% | Corporate email usage, domain match, communication patterns |
| Salary Transparency | 10% | Publicly disclosed compensation ranges |
| Social Presence | 9% | LinkedIn, Glassdoor, Twitter/X, Crunchbase activity |
| Company Maturity | 9% | Years in operation, employee count, stability signals |
| Review Consistency | 7% | Pattern analysis of public employee reviews |
| Public Footprint | 5% | News mentions, press coverage, public records |
Anthropic Claude serves as the always-available final fallback, ensuring no analysis request ever fails completely.