HR AI Index
Index Vendors › KPMG · September 2026 Edition
2 categories · Ranked

KPMG

22Judge labels
0First choices
3Negative labels
9 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
0% in Compensation benchmarkin for mid-market buyers
Rank 23 of 144 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 9 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 KPMG 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%23 of 1440%9under 10 labels · led by Payscale at 24%
Compliance trainingLearning and development0%52 of 800%1under 10 labels · led by Traliant at 22%

Movement

This is the first edition on this tier, so no move can be computed for KPMG 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 KPMG across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00202
Grok 4.1 Fast01001
Mistral Small01102
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00101
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500101

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative17 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative5 labels1not counted in share
First choiceAlternativeMentionNegative22 labels in all, every segment counted; 0 of the 1 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.

“Offers defensible IT and operational benchmarking, especially for regulated industries and mid-market teams.” Mistral Small · Compensation benchmarkin · comparative prompt · alternative
“Audit-ready, transformation-linked benchmarking | Deloitte / KPMG / McKinsey” Kimi K2 · Compensation benchmarkin · comparative prompt · alternative
“Defensible IT/operating benchmarks for regulated industries; cost optimization.” Grok 4.1 Fast · Compensation benchmarkin · comparative prompt · alternative

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.

No model argued against it.

Named alongside

The products named in the same answers as KPMG, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and KPMG was named but was not.
ProductSame answerTook the first choice insteadHead to head
Deloitte21 of 226Not in the top three
Gartner16 of 222Not in the top three
Computer Economics14 of 220Not in the top three
PwC14 of 220Not in the top three
EY13 of 220Not in the top three
BCG9 of 220Not in the top three
NielsenIQ8 of 220Not in the top three
Forrester7 of 220Not in the top three
IDC7 of 220Not in the top three
Kantar7 of 220Not 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 KPMG. 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 22 of the 22 answers that named KPMG and are not a share of its labels.

Domains cited

worldmetrics.org20
zipdo.co20
gitnux.org18
ravio.com7
gartner.com5
isg-one.com5
thehackettgroup.com4
wifitalents.com4
aiopsschool.com3
getapp.com3

Eighty-nine of the eighty-nine domain citations in answers naming KPMG 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 KPMG'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 KPMG, 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 kpmg.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.