HR AI Index

Index › Vendors › U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics · September 2026 Edition

1 category · Named, not ranked

U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics

2Judge labels

2First choices

0Negative labels

1 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics was named 1 time in Compensation benchmarkin, where Payscale led with 24%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business27 of 170

under the label threshold

Mid-market18 of 144

under the label threshold

Enterprisenot named

No model named it for this buyer.

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 U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Compensation benchmarking data	Compensation and total rewards	2%	18 of 144	0%	1	under 10 labels · led by Payscale at 24%

Movement

This is the first edition on this tier, so no move can be computed for U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage 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 U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	1	1
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0

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

Paraphrase1 label1

Comparative0 labelsNone

Budget-constrained1 label1

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative2 labels in all, every segment counted; 2 of the 2 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.

“Cost: Completely free. ... Authoritative and defensible for legal/compliance needs.” Grok 4.1 Fast · Compensation benchmarkin · budget prompt · first choice

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 U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics was named but was not.

ProductSame answerTook the first choice insteadHead to head

Payscale2 of 20Not in the top three

Ravio2 of 20Not in the top three

Bridge Group1 of 20Not in the top three

CompData Surveys1 of 20Not in the top three

Comprehensive.io1 of 20Not in the top three

Culpepper Compensation Surveys1 of 20Not in the top three

Glassdoor1 of 20Not in the top three

Knowledgelib1 of 20Not in the top three

Levels.fyi1 of 20Not in the top three

Mercer1 of 20Not 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 U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage 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 2 of the 2 answers that named U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics and are not a share of its labels.

Domains cited

comptool.com2

firsthr.app2

hr.software2

hrpaypick.com2

pin.com2

ravio.com2

bestsalesteamtraining.com1

blog.salescookie.com1

cakeas.com1

compensation-iq.com1

No domain is on file for U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics, so its own site is not marked.

Pages cited

comptool.com/solutions/market-pricing2

firsthr.app/compare/payroll/compensation-management-tools2

hrpaypick.com/salary-benchmarking-small-business2

pin.com/blog/salary-benchmarking-tools2

ravio.com/blog/the-best-tools-for-salary-benchmarking2

bestsalesteamtraining.com/guides/compensation-design-smb1

blog.salescookie.com/2026/05/15/state-of-b2b-sales-compensation-20261

cakeas.com/compensation-survey-providers1

Pages are listed as the models cited them.

Names read as U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics

What the judge wrote, as written, with how often. The vendor table decides that these count as U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics; a claim can dispute any of them.

U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage Statistics (OEWS) 1

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 U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage 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 U.S. Bureau of Labor Statistics (BLS) Occupational Employment and Wage 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.