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 21 → 14 of 100
Arya
11Judge labels
2First choices
2Negative labels
4 / 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
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Arya was named 6 times in Talent intelligence and 1 other category, where Pin led with 27%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business14 of 104
2%2 labels
under the label threshold
Mid-market16 of 90
2%5 labels
under the label threshold
Enterprise59 of 68
0%1 label
under the label threshold
In talent intelligence · 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 Arya 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 |
|---|---|---|---|---|---|---|---|
| Talent intelligence | Performance and talent management | 2% | 16 of 90 | 20% | 5 | under 10 labels · led by Pin at 27% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Skills intelligence | Performance and talent management | 0% | 69 of 127 | 0% | 1 | under 10 labels · led by Skills Base at 18% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Arya held within the floor in all two categories: no change cleared 13 points.
Best category · Talent intelligence · by segment
Mid-market▲+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 24 → 13 of 80
EnterprisenewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 55 of 63, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Talent intelligence | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 24 → 16 of 90 |
| Skills intelligence | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 69 of 127, 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 Arya 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 Arya 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 | 0 | 0 | 1 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 1 | 1 | 0 | 2 |
| 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 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
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
Direct4 labels2
Paraphrase0 labelsNone
Comparative1 labelNone
Budget-constrained3 labelsNone
Scale-constrained1 labelNone
Negative2 labelsNone
First choiceAlternativeMentionNegative11 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 and SMB teams should look at Pin or Arya first” Claude Haiku 4.5 · Talent intelligence · direct prompt · first choice
“still relatively accessible at $3,600 annual starting price, and mentioned as a good option for SMB/mid-market teams” Perplexity Sonar · Talent intelligence · budget prompt · alternative
“include Pin, Arya by Leoforce, and Eightfold” Llama 4 Maverick · Talent intelligence · 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.
“common buyer complaints including contact data accuracy and pricing opacity at the enterprise tier” Claude Haiku 4.5 · Talent intelligence · negative prompt · hard negative
Named alongside
The products named in the same answers as Arya, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Arya was named but was not.ShowHide
Named alongside
The products named in the same answers as Arya, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Arya 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 Arya. 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 11 of the 11 answers that named Arya and are not a share of its labels.
Domains cited
pin.com11
skima.ai7
g2.com5
metaview.ai5
xobin.com5
hackerearth.com3
jobspipe.dev3
learn.g2.com3
peoplemanagingpeople.com3
selecthub.com3
No domain is on file for Arya, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Names read as Arya
What the judge wrote, as written, with how often. The vendor table decides that these count as Arya; a claim can dispute any of them.
Arya by Leoforce 3Arya Pulse 1
Follow Arya
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.
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 Arya'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 Arya, 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 Arya by email, built from the raw record of the edition. It shows:
- where Arya 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 Arya, 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.