Small business▲+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 31 → 15 of 143
1 category · Named, not rankedCompData Surveys
3Judge labels
3First choices
0Negative labels
3 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. CompData Surveys was named 2 times in Compensation benchmarkin, where Pave led with 19%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business17 of 155
2%1 label
under the label threshold
Mid-market8 of 148
3%2 labels
under the label threshold
Enterprisenot named
0%
No model named it for this buyer.
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 CompData Surveys 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.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Compensation benchmarking data | Compensation and total rewards | 3% | 8 of 148 | 0% | 2 | under 10 labels · led by Pave at 19% | ▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, CompData Surveys held within the floor in its one category: no change cleared 13 points.
Best category · Compensation benchmarkin · by segment
Mid-market▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
2%from 6% in September 2026
Inside the floor by 9 pointsRank 4 → 12 of 138
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Compensation benchmarkin | 6% | 2% | ▼−4Since September 2026: 6% → 2%, −4 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 4 → 8 of 148 |
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 CompData Surveys across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated CompData Surveys across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 1 | 0 | 0 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |
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
Paraphrase3 labels3
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative3 labels in all, every segment counted; 3 of the 3 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.
“Best all-around validated survey for mid-size: Compdata Max / Salary.com. Explicitly called out as best all-around for mid-sized companies.” Muse Glimmer 30B · Compensation benchmarkin · paraphrase prompt · first choice
“Compdata Surveys (Salary.com) is a strong general-purpose choice because it is peer-reported, refreshed quarterly” Perplexity Sonar · Compensation benchmarkin · 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.
No model argued against it.
Named alongside
The products named in the same answers as CompData Surveys, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and CompData Surveys was named but was not.ShowHide
Named alongside
The products named in the same answers as CompData Surveys, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and CompData Surveys was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
Mercer Total Remuneration Survey TRS / Management Benchmarking Database / Comptryx1 of 30Not 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 CompData Surveys. 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 3 of the 3 answers that named CompData Surveys and are not a share of its labels.
Domains cited
comprehensive.io3
ravio.com3
captivateiq.com2
hr-ai-index.com2
payscale.com2
salary.com2
sourceforge.net2
bdo.com1
business.salary.com1
cakeas.com1
Nineteen of the nineteen domain citations in answers naming CompData Surveys came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Names read as CompData Surveys
What the judge wrote, as written, with how often. The vendor table decides that these count as CompData Surveys; a claim can dispute any of them.
Compdata Max / Salary.com 1Compdata Surveys 1
Follow CompData Surveys
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
CompData Surveys is its own company.ShowHide
The company
CompData Surveys is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Self-serve compensation data: modeled market pay, minimum-wage floors, and ready pay structures — every figure with its honestly computed error bar, priced by the precision you need.
- For
- organizations that want fair pay with limited administrative overhead; growth-stage organizations competing for scarce talent; organizations that value clarity and tenure; margin-tight organizations; early-stage startups
- Price stated
- SOC observed (BLS OEWS)Buy — $258Subscribe — $79/moSubscribe — $790/yr; Modeled market (Job × Level)Buy — $490Subscribe — $149/moSubscribe — $1,490/yr; Modeled + your data, maintained connectionSubscribe — $24,900/yr; Bring your own survey (BYOS)Buy — $18,000; One-time snapshotBuy — $258; Maintained feedSubscribe — $79/moSubscribe — $790/yr; Connected to your data, maintainedSubscribe — $2,900/yr; Pay Structure Library (range-width variants)Buy — $490; Templated Pay Systems (strategy × size × industry)Buy — $490; Custom structure — your families + strategy on our modelBuy — $1,490 compdata.ai
- Starting price
- $79/mo compdata.ai
- Free plan or trial
- Check one role free → compdata.ai
- Not stated on the pages read
- Integrations, certifications, hosting, customers
What CompData Surveys's own pages state, read October 6, 2026: compdata.ai. 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 CompData Surveys'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 CompData Surveys, 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 CompData Surveys by email, built from the raw record of the edition. It shows:
- where CompData Surveys 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 CompData Surveys, 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.