TheShortlist Report

Measured research on who gets recommendedLatest reading

Counts, not opinions · No paid placement · Method published

Head to head

JM Search vs Spencer Stuart

Named side by side in 4 executive search firms questions. Spencer Stuart came out ahead on 4; on 0 the sample cannot tell them apart.

17.6%JM Search
87.9%Spencer Stuart
0–4Questions led
0Too close to call

Over 4 executive search firms questions measured by The Shortlist Report over 700 AI responses, Spencer Stuart was named more often than JM Search on 4 of them, JM Search on 0, and the sample could not separate them on the remaining 0.

How JM Search and Spencer Stuart differ

This data does not establish which firm is better. JM Search’s strongest result relative to Spencer Stuart was on “Our executive search is not working. Who can take over?” (7.4% versus 65.7%), while Spencer Stuart’s strongest result relative to JM Search was on “Which search firms know our industry?” (96.0% versus 19.4%).

Those are the clearest differences in the shared sample. They measure which firm AI assistants surfaced more often for each buyer question, not service quality or client results.

Question by question

QuestionJM SearchSpencer StuartAhead
What are the best executive search firms?175 responses24.0%100.0%Spencer Stuart
Which search firms know our industry?175 responses19.4%96.0%Spencer Stuart
Which firms specialise in the role we are hiring for?175 responses19.4%89.7%Spencer Stuart
Our executive search is not working. Who can take over?175 responses7.4%65.7%Spencer Stuart

How to read this

Share is the percentage of sampled ChatGPT responses to a question that named the firm at all — a measure of visibility, not of the work. A capable firm little has been written about will score low, which is a fact about how often it gets named and not a verdict on whether to hire it.

"Too close to call" is a result, not a gap in the data. Firms are grouped into tiers holding every firm the sample cannot statistically separate from that tier's leader, so two firms in one tier are reported as level however their percentages happen to fall. On 0 of these 4 questions that is what the measurement supports, and saying otherwise would be inventing precision.

Nothing here is our judgement of who is good. It is a count of who gets named. Both firms are measured over the same questions and the same 700 responses, so neither is being scored on a sample the other did not face.

The full picture on each

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