HR AI Index
Index Vendors › Computer Economics · September 2026 Edition
1 category · Named, not ranked

Computer Economics

16Judge labels
0First choices
1Negative labels
8 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
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Computer Economics was named 7 times 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.
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 Computer Economics 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%24 of 1440%7under 10 labels · led by Payscale at 24%

Movement

This is the first edition on this tier, so no move can be computed for Computer Economics 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 Computer Economics 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 Sonar00101
Grok 4.1 Fast01001
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash01001
Kimi K201001
GLM 4.7 FlashX00000
MiniMax M2.500101

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
Paraphrase0 labelsNone
Comparative12 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative16 labels in all, every segment counted; 0 of the 0 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.

“Decision-ready IT spending/staffing data on a budget | Computer Economics” Kimi K2 · Compensation benchmarkin · comparative prompt · alternative
“Budget-friendly option for survey-based IT spending and staffing benchmarks.” Mistral Small · Compensation benchmarkin · comparative prompt · alternative
“Affordable, decision-ready IT spending/staffing baselines.” Grok 4.1 Fast · Compensation benchmarkin · comparative prompt · alternative
“Cost efficiency → Computer Economics” Qwen 3.7 Flash · Compensation benchmarkin · comparative 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 Computer Economics, over the 16 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Computer Economics was named but was not.
ProductSame answerTook the first choice insteadHead to head
Gartner15 of 162Not in the top three
Deloitte14 of 166Not in the top three
KPMG14 of 160Not in the top three
PwC10 of 160Not in the top three
EY9 of 160Not in the top three
Kantar8 of 160Not in the top three
NielsenIQ8 of 160Not in the top three
BCG7 of 160Not in the top three
IRI7 of 160Not in the top three
Bain6 of 160Not 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 Computer Economics. 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 16 of the 16 answers that named Computer Economics and are not a share of its labels.

Domains cited

zipdo.co16
worldmetrics.org15
gitnux.org13
gartner.com5
isg-one.com5
aiopsschool.com3
ravio.com3
thehackettgroup.com3
apqc.org2
benchgecko.ai2

Sixty-seven of the sixty-seven domain citations in answers naming Computer Economics 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 Computer Economics'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 Computer Economics, 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 computereconomics.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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