Small business▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 8 pointsRank 25 → 15 of 82
3 categories · RankedStuut
35Judge labels
9First choices
0Negative labels
12 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
6% in Cash application for mid-market buyers
Rank 6 of 83 in the mid-market standingaccepted challenger
3 of 14 models made it the first choice on the direct prompt; 0% of its 18 labels there were negative.
What the models named instead of Stuut →By buyer segmentRead the same way at every buyer size.
Small business16 of 88
2%5 labels
under the label threshold
Mid-market6 of 83
6%18 labels
accepted challenger
Enterprise2 of 62
11%9 labels
under the label threshold
In cash application · 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 Stuut 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 |
|---|---|---|---|---|---|---|---|
| Cash application | Receivables and billing | 6% | 6 of 83 | 0% | 18 | accepted challenger | ▲+7Since September 2026: 0% → 7%, +7 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Accounts receivable automation | Receivables and billing | 0% | 27 of 79 | 0% | 2 | under 10 labels · led by Upflow at 17% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
| Chargeback management | Receivables and billing | 0% | 59 of 81 | 0% | 1 | under 10 labels · led by Chargeflow at 24% |
Movement
Since September 2026, Stuut held within the floor in all three categories: no change cleared 10 points.
Best category · Cash application · by segment
Mid-market▲+7Since September 2026: 0% → 7%, +7 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
7%from 0% in September 2026
Inside the floor by 3 pointsRank 22 → 5 of 79
Enterprise▲+5Since September 2026: 8% → 12%, +5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
12%from 8% in September 2026
Inside the floor by 5 pointsRank 3 → 2 of 58
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Cash application | 0% | 7% | ▲+7Since September 2026: 0% → 7%, +7 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 22 → 6 of 83 |
| Accounts receivable auto | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 67 → 27 of 79 |
| Chargeback management | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 59 of 81, 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 10 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 Stuut 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 Stuut 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 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.1 Fast | 0 | 1 | 2 | 0 | 3 |
| Mistral Small | 2 | 0 | 0 | 0 | 2 |
| 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 | 2 | 0 | 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 | 2 | 0 | 2 |
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
Direct7 labels3
Paraphrase0 labelsNone
Comparative10 labels1not counted in share
Budget-constrained6 labels5
Scale-constrained10 labels1
Negative2 labels1not counted in share
First choiceAlternativeMentionNegative35 labels in all, every segment counted; 9 of the 11 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.
“Modern API-first platforms (like Stuut, Tesorio, Bluecopa) ... are increasingly preferred over legacy enterprise tools” Kimi K2 · Accounts receivable auto · negative prompt · first choice
“For most mid-market B2B companies, I'd recommend: 1. Stuut if you need fast implementation” Kimi K2 · Cash application · direct prompt · first choice
“the AI-native platforms (Stuut, SINGOA, Monk) or Versapay often deliver the fastest ROI” DeepSeek V4 Flash · Cash application · direct prompt · first choice
“If you need rapid deployment and high automation, consider Stuut or Emagia.” Mistral Small · Cash application · comparative 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 Stuut, over the 35 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Stuut was named but was not.ShowHide
Named alongside
The products named in the same answers as Stuut, over the 35 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Stuut 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 Stuut. 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 35 of the 35 answers that named Stuut and are not a share of its labels.
Domains cited
stuut.aiYour site33
bluecopa.com32
highradius.com21
chaserhq.com17
emagia.com16
rex.inc16
thecfoclub.com13
gaviti.com12
itechguides.com12
upflow.io12
151 of the 184 domain citations in answers naming Stuut came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
stuut.ai is not in Google's top ten for any of the category's searches. In the answers, Stuut takes 6% of first choices and Versapay takes 9%.ShowHide
Search and answers
stuut.ai is not in Google's top ten for any of the category's searches. In the answers, Stuut takes 6% of first choices and Versapay takes 9%.
ShowHideIn search
Google, US estimatesPosition for “cash application tools”
–
not in the top ten
Position for “cash application software”
–
not in the top ten
- Searches for its name, Google
- 1,900 a month (“stuut”)
- AI search demand for its name, est.
- 14 a month
- Organic visits to its site
- about 1,574 a month
- Searches its site ranks for
- 149 · 9 in the top three
- Sites linking to it
- 511
- Paid Google search
- 1 searches its ads show for, about 1 clicks and $0 a month (estimate)
In answers
This editionShare of first choices
6%
rank 6 of 83 in cash application
Segment leader
9%
Versapay
- First choices
- 9 across its categories
- Named in
- 35 answers
- Its own site cited
- in 35 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 stuut.ai
353
subdomains included
Content
249
counted in the table below
Documentation
38
Product · Integration
9 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Report or ebook | 179 | undated | Cash application, Accounts receivable auto | ||
| Blog | 37 | undated | Cash application | ||
| Comparison | 20 | undated | |||
| Case study | 9 | 8 | 2026-09-15 | ||
| Glossary or explainer | 3 | undated | |||
| Template or tool | 1 | undated |
Most recent
- 2026-09-15Zoominfo case study
- 2026-09-14Ally logistics case study
- 2026-09-10Action Elevator Unlocks Up to $1M Monthly Cash | Stuut case study
- 2026-09-10Bishop Lifting Reduces Overdue AR by 35% | Stuut case study
- 2026-09-10EZG Collects $11.67M and Cuts DSO by 5 Days | Stuut case study
- 2026-09-10Hibid case study
How it is countedHide how it is counted
Every page stuut.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. Read September 29, 2026.
Names read as Stuut
What the judge wrote, as written, with how often. The vendor table decides that these count as Stuut; a claim can dispute any of them.
Tesorio/Stuut 1
Follow Stuut
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
Stuut is its own company.ShowHide
The company
Stuut is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI-powered accounts receivable automation platform that autonomously handles the entire order-to-cash process, from collections to payment matching.
- For
- Enterprise customers
- Price stated
- Shield Standard is 10% on top of your platform fee. Shield BYOK is 20%. stuut.ai/product/security
- Starting price
- 0 stuut.ai/product/payments
- Certifications
- SOC 2GDPRCCPAHIPAAPCI-compliant
- Customers named
- ZoomInfoBishop LiftingPerkin ElmerEZG ManufacturingPerkinElmerAlly LogisticsAction ElevatorHiBid
- Not stated on the pages read
- Free plan or trial, integrations, hosting
What Stuut's own pages state, read September 28, 2026: stuut.ai, stuut.ai/product/security, stuut.ai/product/payments, stuut.ai/case-studies, stuut.ai/integrations. 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 Stuut'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 Stuut, 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 Stuut by email, built from the raw record of the edition. It shows:
- where Stuut 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 Stuut, 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.