Small business=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 72 → 27 of 71
1 category · RankedAffirmity
26Judge labels
0First choices
1Negative labels
14 / 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.
Best standing
0% in Pay equity for mid-market buyers
Rank 21 of 73 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 8% of its 13 labels there were negative.
What the models named instead of Affirmity →By buyer segmentRead the same way at every buyer size.
Small business26 of 78
0%6 labels
under the label threshold
Mid-market21 of 73
0%13 labels
accepted challenger
Enterprise17 of 68
0%7 labels
under the label threshold
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 Affirmity 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 |
|---|---|---|---|---|---|---|---|
| Pay equity | Compensation and total rewards | 0% | 21 of 73 | 8% | 13 | accepted challenger | =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, Affirmity held within the floor in its one category: no change cleared 13 points.
Best category · Pay equity · by segment
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 29 → 20 of 67
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 15 of 60, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Pay equity | 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 29 → 21 of 73 |
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 Affirmity 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 Affirmity 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 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 0 | 2 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 0 | 2 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| 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 labelsNone
Paraphrase0 labelsNone
Comparative12 labelsNone
Budget-constrained5 labelsNone
Scale-constrained0 labelsNone
Negative1 labelNone
First choiceAlternativeMentionNegative26 labels in all, every segment counted; 0 of the 0 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.
“Choose Affirmity if your priority is U.S. pay equity studies and related compliance reporting.” Perplexity Sonar · Pay equity · comparative prompt · alternative
“a strong fit for HR compliance teams at mid-to-large employers with federal contractor obligations” Llama 4 Maverick · Pay equity · direct prompt · alternative
“For OFCCP-oriented analysis or hands-on consulting, consider Affirmity or Mercer.” GPT-6 Luna · Pay equity · comparative prompt · alternative
“If you are a U.S. Federal Contractor: Look at Affirmity (PayStat)” Gemini 3.5 Flash · Pay equity · comparative 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.
“Statistical Audit Platforms (Syndio, Trusaic, Affirmity) - ... typically enterprise-priced” MiniMax M2.5 · Pay equity · budget prompt · soft negative
Named alongside
The products named in the same answers as Affirmity, over the 26 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Affirmity was named but was not.ShowHide
Named alongside
The products named in the same answers as Affirmity, over the 26 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Affirmity 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 Affirmity. 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 26 of the 26 answers that named Affirmity and are not a share of its labels.
Domains cited
effy.ai21
peoplemanagingpeople.com20
compensationtools.net17
guideflow.com16
g2.com14
gartner.com10
worldmetrics.org10
skima.ai9
sourceforge.net9
synd.io8
134 of the 134 domain citations in answers naming Affirmity came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
affirmity.com ranks 2 on Google for the category's searches. In the answers, Affirmity takes 0% of first choices and Syndio takes 12%.ShowHide
Search and answers
affirmity.com ranks 2 on Google for the category's searches. In the answers, Affirmity takes 0% of first choices and Syndio takes 12%.
ShowHideIn search
Google, US estimatesPosition for “pay equity tools”
–
not in the top ten
Position for “pay equity analysis software”
2
- Searches for its name, Google
- 1,220,000 a month (“affirmity”)
- AI search demand for its name, est.
- 64,786 a month
- Organic visits to its site
- about 1,311 a month
- Searches its site ranks for
- 529 · 14 in the top three
- Sites linking to it
- 870
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 21 of 73 in pay equity
Segment leader
12%
Syndio
- First choices
- 0 across its categories
- Named in
- 26 answers
- Its own site cited
- in 26 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 affirmity.com
468
subdomains included
Content
408
counted in the table below
Documentation
1
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 381 | 25 | 2026-09-28 | Pay equity, Compliance training | |
| Template or tool | 19 | 1 | 2026-08-19 | Pay equity | |
| Conference or event | 5 | 0 | 2026-03-11 | ||
| Glossary or explainer | 2 | 0 | 2026-01-07 | ||
| Webinar or virtual event | 1 | undated |
Most recent
- 2026-09-28Far proposed rules codify anti dei federal contracting blog
- 2026-09-22Starbucks to pay legal costs after settling florida diversity policies lawsuit blog
- 2026-09-21Compliance cafe the underestimated risks of ai in employment decisions 141026 blog
- 2026-09-16Accenture to pay 25m latest doj false claims act settlement blog
- 2026-09-14Census bureau proposal race ethnicity question removal 2030 blog
- 2026-08-31How documentation data win employment cases blog
How it is countedHide how it is counted
Every page affirmity.com 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.
Names read as Affirmity
What the judge wrote, as written, with how often. The vendor table decides that these count as Affirmity; a claim can dispute any of them.
Affirmity PayStat 4
Follow Affirmity
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
Affirmity is its own company.ShowHide
The company
Affirmity is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Your Trusted Partner in Workforce Analytics and Compliance
- For
- HR and compliance teams
- Customers named
- Citrix Systems Inc.Crown EquipmentAlbireo Energy, LLC
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, certifications, hosting
What Affirmity's own pages state, read October 5, 2026: affirmity.com, affirmity.com/workforce-analytics-solutions/compliance. 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 Affirmity'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 Affirmity, 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 Affirmity by email, built from the raw record of the edition. It shows:
- where Affirmity 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 Affirmity, 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.