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HR AI Index
Index › Products › SHL · October 2026 Edition
1 category · Ranked

SHL

64Judge labels
9First choices
15Negative labels
14 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
20% in Candidate assessment for enterprise buyers
Rank 18 of 118 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 15% of its 13 labels there were negative.
What the models named instead of SHL →
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 rateLabelsQuadrantSince September 2026
Candidate assessmentTalent acquisition0%18 of 11815%13accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, SHL held within the floor in its one category: no change cleared 13 points.

Best category · Candidate assessment · by segment

Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 86 → 79 of 80
Mid-market▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 11 pointsRank 11 → 17 of 115
Enterprise▼−4Since September 2026: 24% → 20%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
20%from 24% in September 2026
Inside the floor by 9 pointsRank 1 of 67, unchanged

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Candidate assessment2%0%▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 11 → 18 of 118

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated SHL across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00101
Gemini 3.5 Flash00000
Perplexity Sonar01001
Grok 4.1 Fast01102
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00112
Kimi K200101
GLM 4.7 FlashX00000
MiniMax M2.500101
GPT-6 Luna10001
Muse Glimmer 30B00011

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
Direct13 labels5
Paraphrase9 labels4
Comparative14 labels6not counted in share
Budget-constrained6 labelsNone
Scale-constrained11 labelsNone
Negative11 labels1not counted in share
First choiceAlternativeMentionNegative64 labels in all, every segment counted; 9 of the 16 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.

“choose SHL or Criteria when you need a broader, structured assessment program” GPT-6 Luna · Candidate assessment · comparative prompt · first choice
“Enterprise psychometric leader; aptitude, personality, simulations with global norms and validation” Grok 4.1 Fast · Candidate assessment · comparative prompt · alternative
“SHL if you need a more enterprise-style platform” Perplexity Sonar · Candidate assessment · paraphrase 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.

“legally defensible platforms (like Predictive Index or SHL) can cost tens of thousands of dollars a year” Qwen 3.7 Flash · Candidate assessment · budget prompt · soft negative
“"Criteria Corp, SHL, HireVue, and Wonderlic publish nothing."” Muse Glimmer 30B · Candidate assessment · negative prompt · soft negative

Named alongside

The products named in the same answers as SHL, over the 64 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.
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ProductSame answerTook the first choice insteadHead to head
TestGorilla37 of 648Not among the top eight
Criteria Corp37 of 642Not among the top eight
HireVue33 of 642Not among the top eight
HackerRank27 of 642Not among the top eight
Harver24 of 640Not among the top eight
Codility22 of 641Not among the top eight
Vervoe18 of 641Not among the top eight
The Predictive Index17 of 641Not among the top eight
Mercer | Mettl17 of 640Not among the top eight
iMocha11 of 642Not among the top eight
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 58 of the 64 answers that named SHL and are not a share of its labels.

Domains cited

testgorilla.com30
firsthr.app27
testlify.com22
bryq.com21
g2.com18
pin.com18
testtrick.com18
aihr.com16
jobcannon.io16
sigmundtest.com16

202 of the 202 domain citations in answers naming SHL came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

shl.com is not in Google's top ten for any of the category's searches. In the answers, SHL takes 0% of first choices and TestGorilla takes 52%.
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In search

Google, US estimates
Position for “assessment platforms”
–
not in the top ten
Position for “pre-employment assessment platform”
–
not in the top ten
Searches for its name, Google
6,600 a month (“shl”)
AI search demand for its name, est.
1,134 a month
Organic visits to its site
about 102,114 a month
Searches its site ranks for
2,436 · 615 in the top three
Sites linking to it
3,707
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US

In answers

This edition
Share of first choices
0%
rank 18 of 118 in candidate assessment
Segment leader
52%
TestGorilla
First choices
9 across its categories
Named in
64 answers
Its own site cited
in 58 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

ShowHide
Addresses on shl.com
1,266
subdomains included
Content
187
counted in the table below
Documentation
4
Product · Integration
56 · 7
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog102122026-09-23Succession planning, Workforce planning
Case study3112026-09-15
News or press1812026-09-24
Webinar or virtual event1602026-05-29Talent intelligence
Report or ebook1602026-02-01
Glossary or explainer2undated
Conference or event1undated
Podcast or video102020-02-14
How it is countedHide how it is counted

Every page shl.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Follow SHL

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

SHL is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
People Science. People Answers
For
your organization
Integrations claimed
80 shl.com
Hosting
CyprusCzech RepublicGreeceHungaryKazakhstanPhilippinesPolandPortugal
Customers named
Leading Restaurant ChainS&P GlobalThe Adecco GroupCampariFSCSMicrosoftNationwide Building SocietyValmet
Not stated on the pages read
Price, starting price, free plan or trial, certifications

What SHL's own pages state, read September 28, 2026: shl.com, shl.com/products/360, shl.com/about/customers, shl.com/about/partners. A claimed page can correct any of 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 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.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for SHL by email, built from the raw record of the edition. It shows:

  • where SHL is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name SHL, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.

A verification link goes to your work email; an address at shl.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.