Finance AI Index
Index Vendors › D&B Finance Analytics Credit Intelligence · September 2026 Edition
1 category · Named, not ranked

D&B Finance Analytics Credit Intelligence

3Judge labels
0First choices
0Negative labels
2 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. D&B Finance Analytics Credit Intelligence was named 2 times in B2B credit management, where Tesorio led with 16%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 D&B Finance Analytics Credit Intelligence 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
B2B credit managementReceivables and billing0%30 of 820%2under 10 labels · led by Tesorio at 16%

Movement

This is the first edition on this tier, so no move can be computed for D&B Finance Analytics Credit Intelligence 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 D&B Finance Analytics Credit Intelligence across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini11002
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative2 labels1not counted in share
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative3 labels in all, every segment counted; 0 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.

“If you want to approve customers and set credit limits: start with D&B Finance Analytics or Creditsafe.” GPT-5.4 mini · B2B credit management · comparative prompt · first choice
“Best if your main need is credit risk data and decisioning” GPT-5.4 mini · B2B credit management · direct 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 D&B Finance Analytics Credit Intelligence, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and D&B Finance Analytics Credit Intelligence was named but was not.
ProductSame answerTook the first choice insteadHead to head
Quadient AR2 of 31Not in the top three
Bectran2 of 30Not in the top three
Billtrust2 of 30Not in the top three
Creditsafe2 of 30Not in the top three
Nuvo2 of 30Not in the top three
Tesorio2 of 30Not in the top three
HighRadius Credit Cloud1 of 31Not in the top three
Chaser1 of 30Not in the top three
Esker1 of 30Not in the top three
Gaviti1 of 30Not 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 D&B Finance Analytics Credit Intelligence. 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 3 of the 3 answers that named D&B Finance Analytics Credit Intelligence and are not a share of its labels.

Domains cited

g2.com3
accountsreceivable.ai1
capterra.co.uk1
capterra.com1
chaserhq.com1
chatfin.ai1
creditbenchmark.com1
creditpulse.com1
creditsafe.com1
gitnux.org1

No domain is on file for D&B Finance Analytics Credit Intelligence, so its own site is not marked.

Pages cited

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 D&B Finance Analytics Credit Intelligence'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 D&B Finance Analytics Credit Intelligence, 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 the vendor's own domain 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.

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