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Index › Products › OpenComp · September 2026 Edition
3 categories · Ranked

OpenComp

50Judge labels
7First choices
3Negative labels
12 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.3, every buyer segment counted.
Best standing
1% in Compensation management for small business buyers
Rank 5 of 60 in the mid-market standing
1 of 12 models made it the first choice on the direct prompt; 0% of its 9 labels there were negative.
What the models named instead of OpenComp →
By buyer segmentRead the same way at every buyer size.
In pay equity · 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 OpenComp 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
Pay equityCompensation and total rewards7%5 of 600%9under 10 labels · led by Syndio at 17%
Compensation managementCompensation and total rewards1%23 of 1869%11accepted challenger
Compensation benchmarking dataCompensation and total rewards0%74 of 1410%1under 10 labels · led by Payscale at 24%

Movement

This is the first edition on this tier, so no move can be computed for OpenComp yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated OpenComp across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.521003
GPT-5.4 mini00000
Gemini 3.5 Flash02002
Perplexity Sonar00101
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash12115
Llama 4 Maverick00202
Qwen 3.7 Flash12003
Kimi K200000
GLM 4.7 FlashX03003
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
Direct9 labels4
Paraphrase5 labels1
Comparative12 labelsNone
Budget-constrained17 labels2
Scale-constrained6 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative50 labels in all, every segment counted; 7 of the 7 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.

“OpenComp is designed for mid-market companies (200-1,000 employees), especially in tech, and covers the full compensation workflow” Claude Haiku 4.5 · Pay equity · direct prompt · first choice
“OpenComp (Best Overall Value for Budget-Conscious Teams)” Qwen 3.7 Flash · Pay equity · budget prompt · first choice
“OpenComp is your best bet due to its free tier” Claude Haiku 4.5 · Pay equity · budget prompt · first choice
“OpenComp is the best overall fit” DeepSeek V4 Flash · Compensation management · paraphrase 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.

“some tools carry annual minimums (e.g., OpenComp at ~$4,500/year” DeepSeek V4 Flash · Compensation management · budget prompt · soft negative

Named alongside

The products named in the same answers as OpenComp, over the 48 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenComp was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Pave34 of 4816Not among the top eight
Payscale19 of 482Not among the top eight
Ravio18 of 482Not among the top eight
Aeqium17 of 486Not among the top eight
Salary.com17 of 482Not among the top eight
Comprehensive16 of 484Not among the top eight
Syndio16 of 482Not among the top eight
BambooHR14 of 485Not among the top eight
Mercer12 of 481Not among the top eight
Deel11 of 480Not among the top eight
A head-to-head page exists where both products are among a category's top eight. 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 OpenComp. 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 40 of the 48 answers that named OpenComp and are not a share of its labels.

Domains cited

peoplemanagingpeople.com29
gartner.com25
g2.com17
guideflow.com16
comprehensive.io15
worldmetrics.org15
ravio.com14
soteriahr.com14
learn.g2.com12
firsthr.app11

168 of the 168 domain citations in answers naming OpenComp came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as OpenComp

What the judge wrote, as written, with how often. The vendor table decides that these count as OpenComp; a claim can dispute any of them.
Workleap / OpenComp 1

Follow OpenComp

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

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 OpenComp'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 OpenComp, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

With a new claim: the vendor brief

A new claim receives the current edition's vendor brief for OpenComp by email, built from the raw record of the edition. It shows:

  • where OpenComp is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name OpenComp, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.

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 opencomp.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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