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

SimplyMerit

14Judge labels
2First 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
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. SimplyMerit was named 4 times in Compensation management, where Pave led with 18%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In compensation management · 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 SimplyMerit 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 managementCompensation and total rewards2%17 of 1890%4under 10 labels · led by Pave at 18%

Movement

This is the first edition on this tier, so no move can be computed for SimplyMerit 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 SimplyMerit across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510001
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast12003
Mistral Small00000
DeepSeek V4 Flash00000
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
Direct4 labelsNone
Paraphrase2 labels1
Comparative4 labelsNone
Budget-constrained2 labels1
Scale-constrained1 labelNone
Negative1 labelNone
First choiceAlternativeMentionNegative14 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.

“I'd recommend requesting demos of Comprehensive and SimplyMerit specifically, as they appear to be highlighted for being more cost-effective” Claude Haiku 4.5 · Compensation management · budget prompt · first choice
“I'd recommend Comprehensive or SimplyMerit as top choices” Grok 4.1 Fast · Compensation management · paraphrase prompt · first choice
“3. SimplyMerit (Best for fast setup & affordability)” Grok 4.1 Fast · Compensation management · direct prompt · alternative
“SimplyMerit (Best for Speed and Simplicity)” Grok 4.1 Fast · Compensation management · direct 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 SimplyMerit, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SimplyMerit was named but was not.
ProductSame answerTook the first choice insteadHead to head
Pave8 of 129Not in the top three
QuotaPath8 of 124Not in the top three
Comprehensive8 of 122Not in the top three
BambooHR7 of 120Not in the top three
Ravio5 of 121Not in the top three
Salary.com CompAnalyst4 of 120Not in the top three
15Five3 of 120Not in the top three
Aeqium3 of 120Not in the top three
CaptivateIQ3 of 120Not in the top three
Compease3 of 120Not 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 SimplyMerit. 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 10 of the 12 answers that named SimplyMerit and are not a share of its labels.

Domains cited

comprehensive.io8
hibob.com7
g2.com6
soteriahr.com6
firsthr.app5
gartner.com4
learn.g2.com4
quotapath.com4
ravio.com4
capterra.com3

Fifty-one of the fifty-one domain citations in answers naming SimplyMerit 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 SimplyMerit'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 SimplyMerit, 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 simply.coach 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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