AI Recruitment Statistics: What 2,432 AI-Scored Profiles Show

In our data, a typical role ends with a shortlist of about 12 people. The AI pulled in about 48 to find them.

We build Talent Summoner, which searches public profiles and ranks each one against your must-haves. Your first Role is free, with no card (pricing).

Key takeaways

• A median search shortlisted 11.5 profiles. Each one scored 65 or more and met every must-have.
• The AI ranked 63.6% of 2,432 profiles below 65, so they rank below your shortlist.
• 643 of 1,686 profiles missed a must-have (38.1%). The app puts them below the ones that pass.
• 43 of 52 searches gave a shortlist of 5 people or more.

If you need one named person from a small pool, read when this approach is wrong for you first.

AI recruitment statistics from 52 searches

A Role is one hiring search. Our AI gave each profile a score from 0 to 100 against that Role's brief.

Source: 52 Talent Summoner searches by real users. See how we counted.

What this means for your next hire

You start at the top of a ranked list, not at profile one. The AI does the first read and tells you why each person is there.

Say one profile takes you two minutes to read. In a typical Role you skip about 36 of 48 profiles, which gives you back more than an hour.

Your must-haves decide the cut, so write them with care. Our guides show how to write must-haves and why more profiles do not mean a better shortlist.

How the AI sorted the pool

Most of these profiles were scored before we added a location pre-screen. It now removes people outside the target location first, so today's share at 65 and above is likely higher.

A score is a prioritisation aid, not a verdict. It shows a match to your brief, not how well a person will do the job.

When this approach is wrong for you

• You need one named person from a pool of a few dozen. Fit bands tell you little about so few people.
• You want someone to talk to candidates and sell the role. That is an agency's work.
• You need candidates in an applicant tracking system today. We do not connect to one yet.

Where Talent Summoner fits

Talent Summoner searches LinkedIn, GitHub and other public sources, over 200 million profiles. It ranks each person against your must-haves and nice-to-haves and explains every score.

You send outreach from your own Gmail, Outlook or LinkedIn, and you review each message and confirm the send. Your first Role is free and your second is US$4, then US$29 per Role, or US$59 a month for 10 Roles.

Trade-offs, stated plainly: no paid InMail, no always-on pipeline and no ATS integration today.

Method

• Source: searches that users ran in Talent Summoner. Our AI gave every score, not a human reviewer.
• Counted: 2,432 scored profiles in 52 Roles. "Pulled in" counts every profile a Role found, including those without a score.
• Excluded: team, test and suspected automated sign-up accounts.
• Checks: without the largest account, no band share moved more than 1.3 points. The free Role shows up to 50 candidates, so some Roles hit that cap.
• Biggest limit: 96% of the profiles were scored before the location pre-screen, so today's fit shares are likely higher. We do not report how many profiles recruiters kept, because too few selections were recorded.
• Refresh: we run this query again every quarter and update the page.

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