HR AI Index
Index Vendors › LinkedIn Talent Insights · September 2026 Edition
LinkedIn · 2 categories · Ranked

LinkedIn Talent Insights

29Judge labels
1First choices
7Negative labels
12 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
2% in Talent intelligence for enterprise buyers
Rank 20 of 77 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 10% of its 10 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In talent intelligence · 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 LinkedIn Talent Insights 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
Talent intelligencePerformance and talent management0%20 of 7710%10accepted challenger
Recruiting CRM and sourcingTalent acquisition0%65 of 880%1under 10 labels · led by Lever at 20%

Movement

This is the first edition on this tier, so no move can be computed for LinkedIn Talent Insights 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 LinkedIn Talent Insights 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 Sonar00101
Grok 4.1 Fast00101
Mistral Small00101
DeepSeek V4 Flash01203
Llama 4 Maverick00101
Qwen 3.7 Flash01001
Kimi K200101
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
Direct5 labels1
Paraphrase2 labelsNone
Comparative14 labelsNone
Budget-constrained1 labelNone
Scale-constrained1 labelNone
Negative6 labelsNone
First choiceAlternativeMentionNegative29 labels in all, every segment counted; 1 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.

“If you need to know *who* your competitors are hiring: Use LinkedIn Talent Insights.” Qwen 3.7 Flash · Talent intelligence · comparative prompt · alternative
“LinkedIn Talent Insights (benchmarking)” DeepSeek V4 Flash · Talent intelligence · scale 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.

“especially useful as a market-research layer, but typically not enough by itself for end-to-end talent intelligence” GPT-5.4 mini · Talent intelligence · direct prompt · soft negative

Named alongside

The products named in the same answers as LinkedIn Talent Insights, over the 29 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LinkedIn Talent Insights was named but was not.
ProductSame answerTook the first choice insteadHead to head
Eightfold AI27 of 298Not in the top three
Beamery22 of 290Not in the top three
Gloat19 of 290Not in the top three
SeekOut18 of 292Not in the top three
Phenom18 of 291Not in the top three
Pin12 of 291Not in the top three
Lightcast12 of 290Not in the top three
Metaview12 of 290Not in the top three
Findem11 of 290Not in the top three
hireEZ10 of 291Not 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 LinkedIn Talent Insights. 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 28 of the 29 answers that named LinkedIn Talent Insights and are not a share of its labels.

Domains cited

pin.com20
metaview.ai18
jobspipe.dev15
xobin.com14
guideflow.com13
learn.g2.com13
g2.com12
gitnux.org11
hrtechsaas.com10
hiretruffle.com9

135 of the 135 domain citations in answers naming LinkedIn Talent Insights 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 LinkedIn Talent Insights'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 LinkedIn Talent Insights, 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 linkedin.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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