While most of us can scan up to a few candidate profiles per minute, Globus can now scan ~100,000 profiles in the same time.
Globus Deep Search is an AI-powered search feature that helps you quickly identify the best candidates for a job by analyzing both structured data (like skills, roles, locations) and unstructured data (like notes, CVs, and profiles) in your talent pool.
It uses advanced reasoning to surface “hidden gem” candidates that traditional keyword searches might overlook, or candidates that are tagged with wrong keywords or attributes, that would never otherwise surface.
For recruiters, this means no more complex boolean queries or guessing keywords – the AI will interpret your job requirements and find strong matches you may not have thought of. Deep Search even considers must-have vs. nice-to-have qualifications, work experience, seniority, and real-time availability when matching candidates. Deep Search can scan the text of candidate CV files and attachments as well, expanding the search through all relevant documents.
What is Deep Search?
In essence, Deep Search is an AI-driven candidate search and matching tool. It goes beyond simple keyword matching by understanding the context and content of your job description and candidates’ profiles. When you use Deep Search, Globus.ai’s AI agents will parse your input (for example, a job title and description) and automatically extract key requirements and preferences. The system then searches your entire candidate database for profiles that fit these criteria – including information buried in free-text fields like notes, experience descriptions, or CV content – to recommend candidates who might be a great fit, even if they didn’t explicitly list a specific keyword. This advanced, reasoning-based search helps uncover star profiles you might otherwise overlook.
Key benefits of Deep Search include:
Find better matches with AI: Deep Search interprets the meaning of your requirements (skills, experience, soft skills, etc.) instead of relying strictly on exact term matches. It can identify candidates with equivalent or related experience, giving you a broader and more relevant talent shortlist.
Leverage all your data: It utilizes unstructured data in candidate profiles (e.g. notes from interviews, detailed work history, uploaded CVs) that typically wouldn’t be included in a normal search. This means candidates are found based on the full picture of their qualifications, not just the tags or fields in the system.
Intelligent filtering: The AI prioritizes candidates who meet your must-have requirements (e.g. specific certifications or languages) while also considering nice-to-haves or soft skills. It understands hard requirements versus flexible criteria, so unqualified candidates are filtered out more effectively in the results.
Continuously improving: Deep Search is part of Globus’s evolving AI toolkit – for example, it works hand-in-hand with the Candidate Preferences Agent (which collects candidates’ own stated job preferences) to refine matches. Over time, as the AI learns from more data and your feedback (like which candidates you shortlist or reject), the search results get even more accurate.
Faster workflow: Perhaps the biggest advantage is speed – Globus finds the right candidates in seconds. What used to take many manual searches and profile scans can now be done almost instantly. This frees you up to spend more time engaging with candidates and clients, rather than combing through databases.
Tip: Deep Search can even be configured to run automatically when new jobs are created. If your Globus account is integrated with an ATS such as Recman, you can enable an option where every time a new position/order is posted in the ATS, a Deep Search is triggered in Globus in real-time. This means you’ll immediately get a list of matching candidates without having to manually initiate the search – a great way to ensure no time is lost in sourcing.