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How to Source Candidates With the Help of AI (Bonus piece: 3 most effective tools for AI sourcing) 

Mariia Charushyna

Mariia Charushyna

Finding qualified candidates in today’s job market can be difficult, with traditional methods of sourcing such as “job boards” and “career fairs” often proving to be time-consuming and producing limited outcomes.

Fortunately, with the rise of AI sourcing tools, hiring managers can now streamline their candidate sourcing process and find the most qualified candidates more efficiently than ever before.

This article will give you some guidelines for how to use AI to source candidates. We’ll also showcase some of the most powerful AI sourcing tools that you should know about.

In case you’re interested in how AI and Automation are influencing nowadays Talent Acquisition world check out the article here.

How does AI help in Candidate Sourcing?

Artificial intelligence (AI) offers many benefits for candidate sourcing. One of the most significant is its ability to process large amounts of data quickly and accurately

AI sourcing algorithms can identify top candidates who meet specific job requirements by analyzing resumes, job descriptions, and other relevant data.

This saves recruiters and hiring managers a significant amount of time and effort during sourcing that would otherwise be spent manually sifting through resumes and other job applications.

In addition, AI-powered recruiting tools can also help reduce bias in the hiring process.

For example, some sourcing tools can help remove identifying information, such as names and addresses, from resumes to prevent unconscious bias from influencing hiring decisions.

Others can analyze job descriptions to identify potentially biased language and suggest more neutral alternatives. Check out the brain of an AI tool here

How is AI helping us?

AI is helpful for sourcing candidates due to several reasons: 

  • Time and cost savings: AI streamlines the candidate sourcing process by automating repetitive tasks such as resume screening, candidate matching, and initial screenings. This saves significant time and effort for recruiters and allows them to focus on more strategic aspects of the hiring process.
  • Improved candidate matching: AI algorithms can match job requirements with candidate profiles by considering a broad range of factors such as skills, experience, education, and cultural fit. This helps identify candidates who are not only qualified but also align with the organization’s values and goals.
  • Scalability and scalability: With AI-powered tools, sourcing can be scaled up to handle high volumes of candidates and job openings. AI algorithms can handle simultaneous data processing and analysis, ensuring a consistent and efficient sourcing process even with a large number of applicants.
  • Continuous learning and optimization: AI algorithms can continuously learn from user interactions and feedback, improving their performance over time. This iterative learning process allows the algorithms to adapt to changing hiring needs, refine candidate recommendations, and enhance overall sourcing effectiveness.

Overall, AI brings speed, accuracy, objectivity, scalability, and continuous improvement to the candidate sourcing process, making it an invaluable tool for modern recruitment teams.

How does sourcing with your AI friend look like?

AI conducts sourcing by utilizing advanced algorithms and machine learning techniques to automate and enhance the candidate search process.

Through a series of steps, AI analyzes vast amounts of data and performs various tasks to identify and evaluate potential candidates.

AI gathers data from multiple sources

AI gathers data from multiple sources such as job boards, professional networking sites, social media platforms, and other online repositories where candidate information is available.

It collects resumes, profiles, and related data points to create a comprehensive pool of potential candidates.

AI processes and analyzes data

AI algorithms process and analyze the collected data to extract relevant information.

This includes examining candidates’ qualifications, skills, experience, educational background, and other criteria specified by the hiring organization.

By considering these factors, AI creates a holistic view of each candidate’s suitability for specific roles.

AI algorithms then apply machine learning techniques to improve their sourcing capabilities over time. They learn from patterns, trends, and historical data to enhance their understanding of job requirements and match them with candidates who possess the desired qualifications and attributes.

Keeping recruitment fair

To ensure a fair and unbiased evaluation, AI can mitigate unconscious bias by focusing solely on objective criteria.

It can strip identifying information from resumes, such as names and addresses, to prevent any potential bias from influencing candidate selection.

AI can match the right person for the right job

AI algorithms can rank and prioritize candidates based on their alignment with job requirements.

By considering factors such as keyword matching, skills relevance, and experience level, AI helps streamline the selection process and presents recruiters with a shortlist of top candidates.

Communication and engagement

AI-powered tools can automate candidate engagement and communication.

Chatbots and virtual assistants can interact with candidates, answer frequently asked questions, schedule interviews, and provide updates, saving recruiters valuable time and effort.

Through these intelligent processes, AI enables recruiters and hiring managers to source candidates more efficiently and effectively. It eliminates manual effort, improves accuracy, and enhances the overall quality of candidate selection.

AI’s ability to handle large data sets, analyze information objectively, and continuously learn and adapt makes it a powerful ally in the sourcing journey. 

Top 5 factors AI usually screens in candidates

One of the most significant advantages of AI in candidate sourcing is its ability to screen candidates more effectively.

Rather than relying on human judgment alone, AI algorithms can evaluate candidates based on a wide range of factors.

Here are 5 of the most popular: 

  1. Experience
  2. Education
  3. Skills
  4. Certifications
  5. Social media presence (for personality traits, candidate’s interests) 

Some AI-powered sourcing tools can analyze a candidate’s social media profiles to determine whether they would be a good fit for a particular role.

By analyzing this information, AI algorithms can help identify candidates who are not only qualified for a role but also a good cultural fit for the company.

Best 3 tools to use for AI Sourcing?

When it comes to AI sourcing, there are three outstanding tools that can revolutionize your candidate search.

Get ready to be amazed and inspired by these powerful platforms that will take your sourcing efforts to new heights!

1. TalentBin

Prepare to be captivated by the magic of TalentBin.

This extraordinary tool scours the web, uncovering hidden talent treasures across various professional networking platforms, social media channels, and online communities.

TalentBin’s AI-powered engine analyzes candidates’ online presence, delving into their interests, skills, and contributions.

By harnessing the power of big data, TalentBin unearths those diamonds in the rough who might have slipped through the cracks using traditional sourcing methods.

With TalentBin, you’ll discover exceptional candidates that you never knew existed, giving you a distinct edge in the talent acquisition game.

2. Ideal

Get ready to experience the perfect harmony between AI and sourcing with Ideal.

This remarkable tool leverages machine learning algorithms to automate the initial screening and shortlisting process.

Say goodbye to countless hours spent manually reviewing resumes! Ideal uses AI to intelligently analyze candidate profiles, identifying the best fits for your job requirements.

It can even learn from your feedback and preferences, continuously refining its recommendations over time.

With Ideal by your side, you’ll effortlessly sift through a sea of candidates, quickly pinpointing the cream of the crop. Get ready to unlock a whole new level of efficiency and precision in your sourcing endeavors.

3. SeekOut

Brace yourself for the ultimate sourcing adventure with SeekOut.

This cutting-edge platform harnesses the power of AI to uncover top talent across multiple professional platforms and networks.

SeekOut’s advanced algorithms dive deep into candidates’ experiences, skills, patents, publications, and more, presenting you with a comprehensive view of their potential.

With SeekOut’s intuitive interface and insightful analytics, you’ll easily identify candidates who possess the perfect blend of expertise and cultural fit.

Prepare to be enthralled by SeekOut’s ability to surface exceptional talent, making your sourcing efforts an unforgettable journey of success.

Incorporating these three remarkable AI sourcing tools into your recruitment strategy will revolutionize the way you find and engage with candidates.

TalentBin, Ideal, and SeekOut will be your trusted companions on the quest for exceptional talent, empowering you to build high-performing teams and achieve unparalleled success. Get ready to embark on a sourcing adventure like no other!

In conclusion

AI-powered recruiting tools offer significant advantages for candidate sourcing.

By automating many time-consuming tasks associated with recruiting, AI algorithms can help hiring managers and recruiters find the most qualified candidates more efficiently than ever before. 

Using AI-powered job boards, recruiting software, or chatbots can help you save time and effort while improving the quality of your candidate pool.

Need help with recruitment or sourcing?  Book a call with us to find out how we can help.

Mariia Charushyna

Mariia Charushyna

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