HR AI Index
Index Vendors › Korn Ferry · September 2026 Edition
1 category · Ranked

Korn Ferry

29Judge labels
2First choices
9Negative labels
10 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
3% in Compensation benchmarkin for enterprise buyers
Rank 129 of 144 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 50% of its 4 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In compensation benchmarkin · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Korn Ferry for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Compensation benchmarking dataCompensation and total rewards0%129 of 14450%4under 10 labels · led by Payscale at 24%

Movement

This is the first edition on this tier, so no move can be computed for Korn Ferry yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Korn Ferry across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00011
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00011
Kimi K200000
GLM 4.7 FlashX00101
MiniMax M2.500000

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct9 labels1
Paraphrase6 labelsNone
Comparative3 labelsNone
Budget-constrained5 labels1
Scale-constrained4 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative29 labels in all, every segment counted; 2 of the 2 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

No positive label carried a quote.

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“excellent, but typically more expensive and better suited to larger or more mature comp functions” GPT-5.4 mini · Compensation benchmarkin · budget prompt · soft negative
“The "Big Three" (WTW, Mercer, Korn Ferry) ... Risk: Very high cost and clunky technology.” Qwen 3.7 Flash · Compensation benchmarkin · scale prompt · soft negative

Named alongside

The products named in the same answers as Korn Ferry, over the 29 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Korn Ferry was named but was not.
ProductSame answerTook the first choice insteadHead to head
Mercer20 of 297Not in the top three
Radford16 of 295Not in the top three
Willis Towers Watson14 of 292Not in the top three
Pave13 of 294Not in the top three
Ravio11 of 291Not in the top three
Payscale10 of 291Not in the top three
Salary.com7 of 290Not in the top three
SHL6 of 292Not in the top three
Criteria Corp5 of 291Not in the top three
Culpepper5 of 290Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Korn Ferry. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 23 of the 29 answers that named Korn Ferry and are not a share of its labels.

Domains cited

ravio.com17
salarycube.com10
bestrecruitingtools.com9
ficstar.com9
imercer.com7
captivateiq.com6
pin.com6
compensation-iq.com5
comprehensive.io5
g2.com4

Seventy-eight of the seventy-eight domain citations in answers naming Korn Ferry came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Korn Ferry's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Korn Ferry, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at kornferry.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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