AI Recruiter Conversation Demo - See How AI Engages Candidates on LinkedIn

1. To help you truly understand how our recruiter system works, we have selected real conversations from users using our AI recruiter on LinkedIn.
2. These examples show how our AI recruiter handles different scenarios.
3. All data has been strictly anonymized to protect personal information.

AI Recruiter Capabilities

What our AI Recruiter does in every conversation

7×24 Instant Reply

No timezone limits, responds within seconds anytime

Multi-language

Auto-detects language, supports 50+ languages

Intent Screening

Intelligently assesses candidate interest & willingness

Answer Questions

Answers role, salary, benefits inquiries automatically

Auto Follow-up

Proactive multi-round follow-up, zero manual effort

Schedule Interviews

Coordinates time slots & sends interview invitations

Get Contact Info

Naturally collects phone, email during conversation

Dee**ati

Company:Squ**talPosition:Software EngineerLocation:Bhubaneswar, Odisha,India

Conversation Record

Hi D***k, I’m J***e from StrategyBrain. I noticed your Golang and Kafka work at S***l and your NestJS/cloud background,very much aligned with a Mid-Level Backend Cloud Engineer role we’re hiring for at C***s. Would you be interested in a quick chat to learn more about this opportunity?

Hey J***e, thanks for reaching out! My Golang, Kafka and cloud work at S***x has been really rewarding,I’d love to hear more about the role at C***s. When’s a good time for a quick chat?

Hi D***k, Great to hear you’re interested,your Golang, Kafka and cloud experience at S***l is exactly what we’re looking for. Here’s a quick overview of the role and our company: About C***s • A fast-growing, mid-sized tech firm specializing in scalable, cloud-native backend systems • Agile culture focused on innovation, collaboration and continuous learning • Strong emphasis on career growth: mentorship programs, regular tech workshops and clear promotion paths Mid-Level Backend Cloud Engineer Responsibilities: 1. Design, develop & maintain microservices in Golang and NestJS 2. Architect real-time data streaming pipelines with Apache Kafka 3. Deploy and manage applications on cloud platforms for high availability 4. Collaborate with product, QA and DevOps to meet project goals on schedule 5. Drive best practices in code quality, CI/CD and infrastructure automation Why you’ll love it: • Direct impact,your services will power core product features used by thousands of customers • Technical growth,opportunities to own new modules, experiment with emerging cloud technologies • Resource support,dedicated DevOps team, cloud credits and a modern CI/CD toolchain • Competitive compensation, performance bonus and long-term incentives Does this sound like the kind of challenge you’re seeking? I’m happy to dive deeper and answer any questions. I’m available for a quick 20-minute chat today at 3:00 PM IST or tomorrow at 11:00 AM IST,let me know if either works for you or feel free to suggest another time. Looking forward to your thoughts! J***e HR Recruiter, StrategyBrain

Thanks, J***e,this sounds right up my alley. Before we dive in, could you share a ballpark salary range and whether there’s flexibility for hybrid/remote work? Tomorrow at 11:00 AM IST works well for me.

Hi D***k, Great,let’s lock in tomorrow at 11:00 AM IST. I’ll send over a calendar invite in a moment. Regarding compensation, for this Mid-Level Backend Cloud Engineer role at C***s we’re targeting a ballpark of INR 12,16 LPA, depending on experience and technical fit. In addition to base salary, the package includes a performance-based bonus and long-term incentives. On work-location flexibility, we operate a hybrid model: typically three days onsite in Bhubaneswar for team collaboration and two days remote per week. If you need more remote days, we’re open to discussing what works best for you. Looking forward to our chat tomorrow,feel free to let me know if you have any other questions beforehand. Best regards, J***e HR Recruiter, StrategyBrain

Thanks J***e, the 12,16 LPA range works well. I’m comfortable with three days onsite,would occasional a fourth remote day be possible, and could you share a bit on how the performance bonus is structured? See you tomorrow at 11 AM IST!

Hi D***k, Great to hear the range works for you. We can absolutely accommodate an occasional fourth remote day with your manager’s approval. As for the performance bonus, it’s structured around three pillars: individual goals, team/project outcomes and overall company performance. You’ll receive clear targets at the start of each cycle, and bonuses are paid out annually. We’ll share the detailed plan and target thresholds in your offer pack. Looking forward to our chat tomorrow at 11:00 AM IST. Let me know if you have any questions beforehand! Best, J***e

More AI Conversation Examples

See how our AI Recruiter handles different candidate responses and scenarios

Currently viewing: No job change intention — AI follow-up & rapport building

Interested — Shared Contact Info

Candidate expressed strong interest, AI successfully collected phone number and email for recruiter follow-up

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Not Now — Follow Up Later

Candidate is happy in current role but open to future contact, AI set a follow-up reminder

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Asking Questions — AI Answered

Candidate asked about salary, remote policy, and team size — AI provided accurate, real-time answers

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Declined — Not Interested

Candidate explicitly declined, AI responded professionally and preserved the relationship for future opportunities

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How AI Recruiter Communicates with Candidates

Our AI follows a proven 5-step workflow: Smart Outreach → Needs Discovery → Intelligent Q&A → Collect Information → Schedule Interview.

1 Smart Outreach

AI analyzes the candidate's LinkedIn profile — job title, skills, industry, and career trajectory — then generates a highly personalized first message that highlights how the role matches their background and aspirations. The AI proactively reaches out at optimal times and adapts the message tone to each candidate's seniority level.

2 Needs Discovery

Through multi-round natural dialogue, AI uncovers the candidate's real career needs — including desired role type, salary expectations, work location preferences, growth priorities, and reasons for considering a change. This insight helps match them with the most relevant opportunities.

3 Intelligent Q&A

AI automatically answers candidates' questions about the role — including job responsibilities, salary range, benefits, team structure, work setup (remote/hybrid/on-site), and company culture. Responses are accurate, context-aware, and delivered instantly in the candidate's preferred language.

4 Collect Information

For interested candidates, AI naturally collects key information during the conversation — phone number, email address, salary expectations, earliest start date, and availability. All data is structured and synced to the recruiter dashboard in real time.

5 Schedule Interview

AI coordinates the candidate's and interviewer's availability, proposes suitable time slots, sends interview invitations with meeting details (link, agenda, interviewer info), and automatically sends reminders before the interview to minimize no-shows.