Finance AI Index

Index › Vendors › iBanFirst · September 2026 Edition

1 category · Named, not ranked

iBanFirst

9Judge labels

1First choices

0Negative labels

5 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. iBanFirst was named 4 times in Cross-border payments, where Wise Business led with 35%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business11 of 56

under the label threshold

Mid-market10 of 83

under the label threshold

Enterprise54 of 75

under the label threshold

In cross-border payments · 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 iBanFirst 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
Cross-border payments and FX	Treasury and cash	2%	10 of 83	0%	4	under 10 labels · led by Wise Business at 35%

Movement

This is the first edition on this tier, so no move can be computed for iBanFirst yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated iBanFirst across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	1	0	1
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	1	0	0	1
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	1	1
Llama 4 Maverick	0	0	1	1
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	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

Direct0 labelsNone

Paraphrase8 labels1

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative9 labels in all, every segment counted; 1 of the 1 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.

“I'd recommend iBanFirst or Ebury as top all-in-one platforms tailored to this space.” Grok 4.1 Fast · Cross-border payments · paraphrase prompt · first choice

“Best All-in-One: Payments, Hedging & Advisory” Gemini 3.5 Flash · Cross-border payments · paraphrase 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 iBanFirst, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and iBanFirst was named but was not.

ProductSame answerTook the first choice insteadHead to head

Wise Business6 of 91Not in the top three

Airwallex6 of 90Not in the top three

OFX5 of 92Not in the top three

Corpay Cross-Border4 of 90Not in the top three

Ebury3 of 90Not in the top three

Kantox3 of 90Not in the top three

Convera2 of 90Not in the top three

FXGuard2 of 90Not in the top three

Pangea Prime2 of 90Not in the top three

XE Business2 of 90Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 iBanFirst. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 6 of the 9 answers that named iBanFirst and are not a share of its labels.

Domains cited

f6s.com6

blog.ibanfirst.comYour site5

alltopbusiness.com3

sendmoneycompare.com3

alt21.com2

apideck.com2

g2.com2

kantox.com2

pangea.io2

wise.com2

Twenty-four of the twenty-nine domain citations in answers naming iBanFirst came from somebody else's page.

Pages cited

blog.ibanfirst.com/en/fx-risk-management-tools5

f6s.com/software/category/currency-risk-management5

f6s.com/software/category/corporate-fx-payments4

alltopbusiness.com/fx-risk-management-suppliers3

f6s.com/software/category/fx-hedging3

apideck.com/blog/fx-payment-platforms-cross-border-integration-guide2

g2.com/categories/foreign-exchange2

pangea.io/customers/fx-international-payments2

Pages are listed as the models cited 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 iBanFirst'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 iBanFirst, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at ibanfirst.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.