Wed Sep 03 - Written by: Brendan McNulty

Week 36: Using AI to Get Interviewed

AI interview process and job search automation

Week 36: Using AI to Get Interviewed

(when I wasn’t even looking for a job)

The Experiment

I wasn’t actively looking for a job, but I got curious about whether AI could help with the interview process. Not just preparing for interviews, but actually getting them. Could I use AI to optimize my profile, applications, and networking to see what would happen?

The goal wasn’t to change careers, but to test whether AI could make someone more “interview-ready” and attractive to recruiters, even when not actively job hunting.

The Process

I designed a systematic approach to use AI across different aspects of the job search process:

  1. Profile Optimization: Used AI to analyze and improve my LinkedIn profile, making it more keyword-rich and appealing to recruiters
  2. Application Automation: Set up AI-powered tools to identify relevant opportunities and customize applications
  3. Interview Preparation: Created AI-driven prep materials and practice scenarios
  4. Follow-up Strategy: Automated personalized follow-up messages and relationship building

For each step, I documented what AI tools I used, how long it took, and what the actual results were in terms of recruiter interest and interview requests.

The Outcome

The results were more dramatic than I expected. Within two weeks of implementing the AI-optimized approach, I went from zero recruiter messages to getting multiple interview requests per week.

The biggest impact came from profile optimization. AI helped me identify industry keywords I was missing, restructure my experience descriptions, and even suggest skills to highlight that I hadn’t considered relevant.

Application automation was surprisingly effective at finding opportunities I would have missed manually. The AI could scan job boards faster and identify matches based on subtle requirements patterns.

Interview preparation became more targeted. Instead of generic prep, AI helped me research specific companies and roles, generating custom questions and scenarios based on the actual job requirements.

The quality of opportunities improved too - these weren’t just random recruiters, but relevant positions at companies I’d actually consider.

Key Takeaway

AI can dramatically improve your market visibility and interview pipeline, even when you’re not actively job searching. The key is treating it as market research rather than desperate job hunting - you’re simply optimizing your professional presence.

Pro Tips for AI-Powered Interview Generation:

  1. Start with LinkedIn optimization: Use AI to analyze successful profiles in your field and identify gaps in your own
  2. Automate the discovery process: Set up AI tools to monitor opportunities and alert you to genuinely good matches
  3. Personalize at scale: Use AI to customize applications while maintaining authenticity
  4. Practice with purpose: Generate company-specific interview scenarios rather than generic practice
  5. Stay passive: Let the optimizations work while you continue your current role - no pressure, just data

What’s Next?

I’m continuing the experiment to see how sustainable this approach is long-term. The goal is to maintain an optimized presence that generates quality opportunities without constant effort.

The real test will be whether this “always interview-ready” approach leads to better career opportunities over time, even when not actively looking.

Want to Try It Yourself?

  • LinkedIn AI Optimization: Analyze top performers in your field and identify optimization opportunities
  • Application Automation: Set up job alerts with AI-powered matching beyond basic keywords
  • Interview Prep AI: Generate company-specific scenarios and questions for better preparation
  • Market Intelligence: Use AI to understand industry trends and position yourself accordingly