HR AI Index
Index Vendors › SHL · September 2026 Edition
3 categories · Ranked

SHL

52Judge labels
10First choices
15Negative labels
12 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
24% in Candidate assessment for enterprise buyers
Rank 11 of 101 in the mid-market standing
1 of 12 models made it the first choice on the direct prompt; 44% of its 9 labels there were negative.
By buyer segmentStrongest at enterprise.
In candidate assessment · 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 SHL 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
Candidate assessmentTalent acquisition2%11 of 10144%9under 10 labels · led by TestGorilla at 68%
Skills intelligencePerformance and talent management0%101 of 1620%1under 10 labels · led by TalentGuard at 19%
Technical hiring assessmentsTalent acquisition0%44 of 520%1under 10 labels · led by HackerRank at 28%

Movement

This is the first edition on this tier, so no move can be computed for SHL 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 SHL 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 mini01124
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash01001
Llama 4 Maverick00101
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00011
MiniMax M2.510001

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
Direct11 labels7
Paraphrase7 labels2
Comparative16 labels3not counted in share
Budget-constrained9 labels1
Scale-constrained1 labelNone
Negative8 labelsNone
First choiceAlternativeMentionNegative52 labels in all, every segment counted; 10 of the 13 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.

“TestGorilla or SHL would be the top recommendations” MiniMax M2.5 · Candidate assessment · direct prompt · first choice
“Large enterprise, compliance-driven, global: Mercer Mettl or SHL” DeepSeek V4 Flash · Candidate assessment · comparative prompt · alternative
“Enterprise assessments with proctoring → Mercer | Mettl, SHL” GPT-5.4 mini · Candidate assessment · comparative prompt · alternative
“Stick to established providers (e.g., Hogan, SHL, Criteria)” Qwen 3.7 Flash · Candidate assessment · negative 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.

“Enterprise-grade legacy platforms (like SHL, Predictive Index, or Hogan) require expensive annual contracts and formal setup fees.” Gemini 3.5 Flash · Candidate assessment · budget prompt · soft negative
“solid products, but pricing is less transparent or more customized, which usually makes them less budget-friendly” GPT-5.4 mini · Candidate assessment · budget prompt · soft negative
“strong enterprise platform, but typically more heavyweight than many mid-market teams need” GPT-5.4 mini · Candidate assessment · direct prompt · soft negative
“Predictive Index, Hogan, SHL are more suited for that, but they’re much more expensive” GLM 4.7 FlashX · Candidate assessment · budget prompt · soft negative

Named alongside

The products named in the same answers as SHL, over the 52 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SHL was named but was not.
ProductSame answerTook the first choice insteadHead to head
TestGorilla32 of 528Not in the top three
Criteria Corp25 of 522Not in the top three
HireVue25 of 520Not in the top three
Codility19 of 523Not in the top three
HackerRank19 of 522Not in the top three
Mercer | Mettl19 of 521Not in the top three
Harver18 of 520Not in the top three
iMocha16 of 520Not in the top three
The Predictive Index13 of 521Not in the top three
Hogan Assessments10 of 520Not 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 SHL. 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 43 of the 52 answers that named SHL and are not a share of its labels.

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 SHL'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 SHL, 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 shl.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.