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Index › Products › Compease · October 2026 Edition
2 categories · Ranked

Compease

31Judge labels
9First choices
3Negative labels
11 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
16% in Compensation management for small business buyers
Rank 78 of 140 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 33% of its 3 labels there were negative.
By buyer segmentStrongest at small business.
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 Compease 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 rateLabelsQuadrantSince September 2026
Compensation managementCompensation and total rewards0%78 of 14033%3under 10 labels · led by Pave at 18%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
Pay equityCompensation and total rewards0%50 of 7333%3under 10 labels · led by Syndio at 12%newNew since September 2026: not ranked then, 0% now.

Movement

Since September 2026, Compease held within the floor in all two categories: no change cleared 13 points.

Best category · Compensation management · by segment

Small business▲+6Since September 2026: 12% → 18%, +6 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
18%from 12% in September 2026
Inside the floor by 7 pointsRank 3 of 100, unchanged
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 44 → 76 of 131

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Compensation management0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 44 → 78 of 140
Pay equity0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 50 of 73, unchanged

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Compease across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00011
Grok 4.1 Fast01001
Mistral Small00000
DeepSeek V4 Flash00202
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00011

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 labels5
Paraphrase4 labels1
Comparative5 labelsNone
Budget-constrained9 labels3
Scale-constrained4 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative31 labels in all, every segment counted; 9 of the 9 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.

“Compease is a strong fit for small to mid-sized organizations” Claude Haiku 4.5 · Compensation management · paraphrase prompt · alternative
“Compease for visualization” Grok 4.1 Fast · Pay equity · scale 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.

“though it is less commonly recommended as the default budget choice than BambooHR or Salary.com” Perplexity Sonar · Compensation management · budget prompt · soft negative
“are quote-only and do not publish prices” Muse Glimmer 30B · Pay equity · budget prompt · soft negative

Named alongside

The products named in the same answers as Compease, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Compease was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Pave11 of 314Not among the top eight
BambooHR Compensation10 of 312Not among the top eight
Ravio8 of 311Not among the top eight
Comprehensive6 of 312Not among the top eight
Syndio6 of 310Not among the top eight
Payscale5 of 311Not among the top eight
PayAnalytics4 of 313Not among the top eight
OpenComp4 of 311Not among the top eight
CaptivateIQ4 of 310Not among the top eight
Lattice Compensate4 of 310Not 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 Compease. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 31 of the 31 answers that named Compease and are not a share of its labels.

Search and answers

Where Compease stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
210 a month (“compease”)
AI search demand for its name, est.
2 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
0%
rank 78 of 140 in compensation management
Segment leader
18%
Pave
First choices
9 across its categories
Named in
31 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Follow Compease

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.

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

What a new claim receivesHide what a new claim receives

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

  • where Compease 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 Compease, 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.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.