Small business▼−2Since September 2026: 7% → 4%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
4%from 7% in September 2026
Inside the floor by 11 pointsRank 5 of 100, unchanged
2 categories · RankedComprehensive
39Judge labels
7First choices
0Negative labels
12 / 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
9% in Compensation management for mid-market buyers
Rank 3 of 140 in the mid-market standingaccepted challenger
2 of 14 models made it the first choice on the direct prompt; 0% of its 16 labels there were negative.
What the models named instead of Comprehensive →By buyer segmentRead the same way at every buyer size.
Small business6 of 108
4%17 labels
accepted challenger
Mid-market3 of 140
9%16 labels
accepted challenger
Enterprise37 of 126
0%4 labels
under the label threshold
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 Comprehensive 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 management | Compensation and total rewards | 9% | 3 of 140 | 0% | 16 | accepted challenger | ▼−5Since September 2026: 15% → 10%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Compensation benchmarking data | Compensation and total rewards | 0% | 35 of 148 | 0% | 2 | under 10 labels · led by Pave at 19% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Comprehensive held within the floor in all two categories: no change cleared 13 points.
Best category · Compensation management · by segment
Mid-market▼−5Since September 2026: 15% → 10%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
10%from 15% in September 2026
Inside the floor by 8 pointsRank 2 → 3 of 131
Enterprise=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 48 → 35 of 109
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Compensation management | 15% | 10% | ▼−5Since September 2026: 15% → 10%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 2 → 3 of 140 |
| Compensation benchmarkin | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 93 → 35 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 Comprehensive 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 Comprehensive 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 | 1 | 1 | 0 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 1 | 3 | 0 | 0 | 4 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 1 | 0 | 1 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 2 | 1 | 1 | 0 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 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
Direct8 labels3
Paraphrase9 labels2
Comparative7 labelsNone
Budget-constrained6 labelsNone
Scale-constrained7 labels2
Negative2 labels2not counted in share
First choiceAlternativeMentionNegative39 labels in all, every segment counted; 7 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.
“Prioritize platforms like Comprehensive, Figures.hr, Salary.com CompAnalyst, Paycom, or Ravio, which are frequently recommended for this size” Grok 4.1 Fast · Compensation management · scale prompt · first choice
“Start with Comprehensive if you want an all-in-one platform for salary planning, equity management, and compensation reviews” Kimi K2 · Compensation management · paraphrase prompt · first choice
“I'd recommend evaluating Compport and Comprehensive first since both are specifically positioned for mid-market companies.” Claude Haiku 4.5 · Compensation management · paraphrase prompt · first choice
“Comprehensive appears to be the strongest choice” Kimi K2 · Compensation management · direct 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 Comprehensive, over the 39 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Comprehensive was named but was not.ShowHide
Named alongside
The products named in the same answers as Comprehensive, over the 39 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Comprehensive was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 Comprehensive. 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 39 of the 39 answers that named Comprehensive and are not a share of its labels.
Domains cited
comprehensive.ioYour site32
ravio.com30
learn.g2.com27
firsthr.app25
g2.com24
peoplemanagingpeople.com20
captivateiq.com19
deel.com17
hibob.com16
fitsmallbusiness.com13
191 of the 223 domain citations in answers naming Comprehensive came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
comprehensive.io ranks 4 on Google for the category's searches. In the answers, Comprehensive takes 9% of first choices and Pave takes 18%.ShowHide
Search and answers
comprehensive.io ranks 4 on Google for the category's searches. In the answers, Comprehensive takes 9% of first choices and Pave takes 18%.
ShowHideIn search
Google, US estimatesPosition for “compensation platforms”
–
not in the top ten
Position for “compensation management software”
–
not in the top ten
- Searches for its name, Google
- 74,000 a month (“comprehensive”)
- AI search demand for its name, est.
- 18,892 a month
- Organic visits to its site
- about 2,021 a month
- Searches its site ranks for
- 521 · 33 in the top three
- Sites linking to it
- 446
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
9%
rank 3 of 140 in compensation management
Segment leader
18%
Pave
- First choices
- 7 across its categories
- Named in
- 39 answers
- Its own site cited
- in 39 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
ShowHide
What it publishes
ShowHideAddresses on comprehensive.io
30
subdomains included
Content
2
counted in the table below
Documentation
1
Product · Integration
3 · 8
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 1 | undated | |||
| Glossary or explainer | 1 | undated | Compensation management |
How it is countedHide how it is counted
Every page comprehensive.io 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. Read September 29, 2026.
Follow Comprehensive
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
Comprehensive is its own company.ShowHide
The company
Comprehensive is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The AI-powered, fully-customizable compensation platform
- For
- HR and Finance teams
- Free plan or trial
- Free Startup Data comprehensive.io
- Integrations claimed
- 9 comprehensive.io/products/benchmarking
- Certifications
- GDPRCCPASOC 2 Type 2
- Hosting
- USCanada100+ countries
- Customers named
- Linux FoundationHopSkipDriveVGW
- Not stated on the pages read
- Price, starting price
What Comprehensive's own pages state, read September 28, 2026: comprehensive.io, comprehensive.io/products/benchmarking. 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 Comprehensive'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 Comprehensive, 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 Comprehensive by email, built from the raw record of the edition. It shows:
- where Comprehensive 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 Comprehensive, 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.
Badges
Wins only: a badge exists where Comprehensive is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.ShowHide
Badges
Wins only: a badge exists where Comprehensive is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHideComprehensive is among the products AI models recommend first in Compensation management this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Wide · 320 × 104 Website, beside other badges
Square · 240 × 240 LinkedIn, slides
Compact · 200 × 56 Email signature, footer
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.