HR AI Index
Index Vendors › BLS Occupational Employment Statistics · September 2026 Edition
2 categories · Named, not ranked

BLS Occupational Employment Statistics

7Judge labels
1First choices
0Negative labels
5 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.
Standing
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. BLS Occupational Employment Statistics was named 2 times in Compensation benchmarkin and 1 other category, where Payscale led with 24%. The labels and the evidence are below, counted exactly.
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 BLS Occupational Employment Statistics 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%57 of 1440%1under 10 labels · led by Payscale at 24%
Pay equityCompensation and total rewards0%36 of 600%1under 10 labels · led by Syndio at 17%

Movement

This is the first edition on this tier, so no move can be computed for BLS Occupational Employment Statistics 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 BLS Occupational Employment Statistics 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 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash02002
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
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
Direct2 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained5 labels1
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative7 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.

“Supplement with free government data (BLS) if you need defensible numbers for US roles.” DeepSeek V4 Flash · Compensation benchmarkin · budget prompt · alternative
“completely free government data” DeepSeek V4 Flash · Pay equity · budget 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 BLS Occupational Employment Statistics, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and BLS Occupational Employment Statistics was named but was not.
ProductSame answerTook the first choice insteadHead to head
Pave6 of 75Not in the top three
Comprehensive.io4 of 70Not in the top three
Levels.fyi4 of 70Not in the top three
Payscale3 of 72Not in the top three
Figures3 of 70Not in the top three
Ravio3 of 70Not in the top three
Salary.com2 of 70Not in the top three
SalaryExpert2 of 70Not in the top three
Pave Market Data Lite1 of 71Not in the top three
Acterys1 of 70Not 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 BLS Occupational Employment Statistics. 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 7 of the 7 answers that named BLS Occupational Employment Statistics and are not a share of its labels.

Domains cited

pin.com6
ravio.com6
comprehensive.io4
g2.com4
compensation-iq.com3
fitsmallbusiness.com3
jobcompass.ai3
pave.com3
peoplemanagingpeople.com3
salary.com3

No domain is on file for BLS Occupational Employment Statistics, so its own site is not marked.

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 BLS Occupational Employment Statistics'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 BLS Occupational Employment Statistics, 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 the vendor's own domain 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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