Overview
AI match scores give you full visibility and context into how a candidate matches your inputted criteria. This helps you quickly find top talent, verify AI recommendations, and adjust your search when necessary.
How does it work?
For every candidate that’s sourced or ranked by Gem AI, you’re provided with an AI Review panel that summarizes exactly how a candidate’s profile objectively scores based on each of the criteria you set.
Gem AI looks at each individual match criteria that you input and uses a large language model (LLM) to evaluate whether a candidate’s profile meets that criteria. The results produce a percentage score which indicates the level of confidence that Gem AI has for each criteria match.
Note: For “yes/no” criteria, such as “this candidate has X credential,” Gem AI will produce a percentage score that reflects its confidence as if we were asking, “How likely is it that this candidate has X credential?”
This helps us account for profiles that may not explicitly list this credential but have other indicators that suggest a candidate is qualified in this area. Therefore, Gem AI may produce a higher-than-0% in this scenario.
Looking for more articles on Gem AI Sourcing? Please take a look at AI Sourcing!
Have any issues or questions on this topic? Please feel free to contact your dedicated Gem Customer Success Manager directly or our Support team at support@gem.com.