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Index › Products › CompAnalyst · October 2026 Edition
2 categories · Named, not ranked

CompAnalyst

13Judge labels
2First choices
1Negative labels
7 / 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.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. CompAnalyst was named 3 times in Compensation management and 1 other category, 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 CompAnalyst 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%110 of 14050%2under 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.
Compensation benchmarking dataCompensation and total rewards0%58 of 1480%1under 10 labels · led by Pave at 19%▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.

Movement

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

Best category · Compensation management · by segment

Small business▲+1Since September 2026: 1% → 2%, +1 point. Inside the 13-point floor: within noise. Read over the models both editions asked.
2%from 1% in September 2026
Inside the floor by 12 pointsRank 24 → 15 of 100
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 41 → 73 of 131
Enterprise▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 11 pointsRank 35 → 17 of 109

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Compensation benchmarkin2%0%▼−2Since September 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 11 → 58 of 148
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 41 → 110 of 140

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 CompAnalyst 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 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.501102
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
Direct1 labelNone
Paraphrase6 labels2
Comparative0 labelsNone
Budget-constrained1 labelNone
Scale-constrained4 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative13 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.

“Mid-market alternatives like Figures, Ravio, CompAnalyst, or Payscale may offer better value” MiniMax M2.5 · Compensation benchmarkin · 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.

“hidden behind proprietary black boxes” Muse Glimmer 30B · Compensation management · negative prompt · soft negative

Named alongside

The products named in the same answers as CompAnalyst, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and CompAnalyst was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Payscale6 of 131Not among the top eight
Ravio6 of 130Not among the top eight
Pave5 of 130Not among the top eight
BambooHR Compensation3 of 132Not among the top eight
Figures3 of 130Not among the top eight
CompUp2 of 130Not among the top eight
Comprehensive2 of 130Not among the top eight
Glassdoor2 of 130Not among the top eight
Mercer Total Remuneration Survey2 of 130Not among the top eight
OpenComp2 of 130Not 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 CompAnalyst. 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 12 of the 13 answers that named CompAnalyst and are not a share of its labels.

Domains cited

comprehensive.io10
ravio.com8
g2.com4
peoplemanagingpeople.com4
deel.com3
figures.hr3
firsthr.app3
fitsmallbusiness.com3
hibob.com3
hr-ai-index.com2

Forty-three of the forty-three domain citations in answers naming CompAnalyst came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

compa.ai is not in Google's top ten for any of the category's searches. In the answers, CompAnalyst takes 0% of first choices and Pave takes 18%.
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In search

Google, US estimates
Position for “compensation platforms”
–
not in the top ten
Position for “compensation management software”
–
not in the top ten
Searches for its name, Google
590 a month (“companalyst”)
AI search demand for its name, est.
12 a month
Organic visits to its site
about 4,124 a month
Searches its site ranks for
116 · 8 in the top three
Sites linking to it
247
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
1 ads · 1 text · 0 shown in the last 30 days

First shown March 2026, as Compa Technologies, Inc., verified. Ads started 2025-10 to 2026-09: 1 in the year.

On Google's pages: 1

In answers

This edition
Share of first choices
0%
rank 110 of 140 in compensation management
Segment leader
18%
Pave
First choices
2 across its categories
Named in
13 answers
Its own site cited
in 12 of the answers that named it

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.

What it publishes

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Addresses on compa.ai
1,004
subdomains included
Content
175
counted in the table below
Documentation
0
Product · Integration
14 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog102undatedPay equity
Conference or event56undatedPay equity
Report or ebook6undated
Comparison4undated
Case study2undated
Glossary or explainer2undated
Webinar or virtual event1undated
Podcast or video1undated
News or press1undated

Events in person

Upcoming
Last twelve months

As the event pages on compa.ai state them, read September 28, 2026.

How it is countedHide how it is counted

Every page compa.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Follow CompAnalyst

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.

The company

CompAnalyst is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
AI for Enterprise Compensation Teams
For
Enterprise Compensation Teams
Certifications
SOC 2 Type IICCPAGDPRplatinum partner with Workdaymember of Workday's Agent Partner Network
Customers named
Micron TechnologyWorkdayFortune 50 company
Not stated on the pages read
Price, starting price, free plan or trial, integrations, hosting

What CompAnalyst's own pages state, read September 28, 2026: compa.ai, compa.ai/pricing, trust.compa.ai, compa.ai/use-cases/benchmark-skill-premiums, compa.ai/partners. A claimed page can correct any of 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 CompAnalyst'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 CompAnalyst, 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 CompAnalyst by email, built from the raw record of the edition. It shows:

  • where CompAnalyst 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 CompAnalyst, 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 compa.ai 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.