{
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "How do AI recruitment agents improve ROI in hiring?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "They cut costs, reduce time-to-hire, improve candidate quality, and boost retention through better matching."
    }
  },{
    "@type": "Question",
    "name": "What recruitment ROI metrics should HR leaders track?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Key metrics include cost-per-hire, time-to-hire, retention rates, candidate quality scores, and recruiter productivity."
    }
  },{
    "@type": "Question",
    "name": "Can AI recruitment agents reduce hiring bias?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Yes, they use consistent, data-driven criteria that minimise unconscious bias and improve fairness in hiring."
    }
  },{
    "@type": "Question",
    "name": "What challenges do companies face in calculating AI recruitment ROI?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "The main challenges include data quality issues, measuring intangible benefits, and over-reliance on automation figures."
    }
  },{
    "@type": "Question",
    "name": "How does the ROI of AI recruitment agents grow over time?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "As AI systems learn and optimise, predictive analytics and automation deliver increasing cost savings and retention improvements."
    }
  }]
}