Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 10 pointsRank 72 → 51 of 97
Oracle Fusion · 1 category · Named, not rankedOracle Fusion Cloud Credit Management
10Judge labels
0First choices
1Negative labels
7 / 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
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Oracle Fusion Cloud Credit Management was named 1 time in B2B credit management, where Chaser led with 16%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market57 of 108
0%1 label
under the label threshold
Enterprise18 of 80
0%9 labels
under the label threshold
In b2b credit 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 Oracle Fusion Cloud Credit Management 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 |
|---|---|---|---|---|---|---|---|
| B2B credit management | Receivables and billing | 0% | 57 of 108 | 0% | 1 | under 10 labels · led by Chaser at 16% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Oracle Fusion Cloud Credit Management held within the floor in its one category: no change cleared 10 points.
Best category · B2B credit management · by segment
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 10 pointsRank 17 → 18 of 74
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| B2B credit management | 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 72 → 57 of 108 |
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 Oracle Fusion Cloud Credit Management 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 Oracle Fusion Cloud Credit Management 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 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| 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 | 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
Direct2 labelsNone
Paraphrase0 labelsNone
Comparative6 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative10 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.
“Best for: ERP-native enterprise credit management” GPT-5.4 mini · B2B credit management · 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.
No model argued against it.
Named alongside
The products named in the same answers as Oracle Fusion Cloud Credit Management, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Oracle Fusion Cloud Credit Management was named but was not.ShowHide
Named alongside
The products named in the same answers as Oracle Fusion Cloud Credit Management, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Oracle Fusion Cloud Credit Management 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 Oracle Fusion Cloud Credit Management. 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 10 of the 10 answers that named Oracle Fusion Cloud Credit Management and are not a share of its labels.
Domains cited
highradius.com6
esker.com5
help.sap.com5
docs.oracle.comYour site4
g2.com4
worldmetrics.org4
chaserhq.com3
gitnux.org3
guideflow.com3
learn.g2.com3
Thirty-six of the forty domain citations in answers naming Oracle Fusion Cloud Credit Management came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
oracle.com is not in Google's top ten for any of the category's searches. In the answers, Oracle Fusion Cloud Credit Management takes 0% of first choices and Chaser takes 16%.ShowHide
Search and answers
oracle.com is not in Google's top ten for any of the category's searches. In the answers, Oracle Fusion Cloud Credit Management takes 0% of first choices and Chaser takes 16%.
ShowHideIn search
Google, US estimatesPosition for “credit management tools”
–
not in the top ten
Position for “b2b credit management software”
–
not in the top ten
- Searches for its name, Google
- not counted (“oracle fusion cloud credit management”)
- AI search demand for its name, est.
- 0 a month
- Its company's site
- oracle.com shared with Oracle Fusion's other products; the figures are the site's
- Organic visits to its site
- about 7,410,638 a month
- Searches its site ranks for
- 280,257 · 54,144 in the top three
- Sites linking to it
- 265,940
- Paid Google search
- 9 searches its ads show for, about 43 clicks and $247 a month (estimate)
In answers
This editionShare of first choices
0%
rank 57 of 108 in B2B credit management
Segment leader
16%
Chaser
- First choices
- 0 across its categories
- Named in
- 10 answers
- Its own site cited
- in 10 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.
Names read as Oracle Fusion Cloud Credit Management
What the judge wrote, as written, with how often. The vendor table decides that these count as Oracle Fusion Cloud Credit Management; a claim can dispute any of them.
Oracle Credit Management 1
Follow Oracle Fusion Cloud Credit Management
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
Oracle Fusion is the company behind Oracle Fusion Cloud Credit Management.ShowHide
The company
Oracle Fusion is the company behind Oracle Fusion Cloud Credit Management.
ShowHideOn record
Company recordsIs 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 Oracle Fusion Cloud Credit Management'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 Oracle Fusion Cloud Credit Management, 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 Oracle Fusion Cloud Credit Management by email, built from the raw record of the edition. It shows:
- where Oracle Fusion Cloud Credit Management 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 Oracle Fusion Cloud Credit Management, 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.