Finance AI Index
Index Vendors › Bluecopa · September 2026 Edition
4 categories · Ranked

Bluecopa

27Judge labels
0First choices
0Negative labels
8 of 12Models named it
4Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
0% in Cash application for mid-market buyers
Rank 27 of 83 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 5 labels there were negative.
By buyer segmentRead the same way at every buyer size.
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 Bluecopa 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
Cash applicationReceivables and billing0%27 of 830%5under 10 labels · led by HighRadius at 16%
Account reconciliationAccounting and close0%27 of 720%3under 10 labels · led by FloQast at 33%
Financial close managementAccounting and close0%17 of 680%3under 10 labels · led by FloQast at 60%
Procure-to-paySpend and procurement0%33 of 850%2under 10 labels · led by Procurify at 45%

Movement

This is the first edition on this tier, so no move can be computed for Bluecopa 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 Bluecopa across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500202
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast01304
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick01203
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01102
MiniMax M2.500101

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 labelsNone
Paraphrase4 labelsNone
Comparative13 labelsNone
Budget-constrained0 labelsNone
Scale-constrained3 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative27 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 mid-market to enterprise B2B finance teams processing high volumes of invoices and payments” Llama 4 Maverick · Cash application · direct prompt · alternative
“### 5. BlueCopa (AI-Native Integrated)” GLM 4.7 FlashX · Account reconciliation · comparative prompt · alternative
“AI-native; multi-ERP.” Grok 4.1 Fast · Cash application · 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.

No model argued against it.

Named alongside

The products named in the same answers as Bluecopa, over the 27 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Bluecopa was named but was not.
ProductSame answerTook the first choice insteadHead to head
HighRadius19 of 275Not in the top three
BlackLine12 of 278Not in the top three
FloQast10 of 271Not in the top three
OneStream9 of 270Not in the top three
Trintech8 of 271Not in the top three
Billtrust8 of 270Not in the top three
Numeric6 of 270Not in the top three
Gaviti5 of 271Not in the top three
ReconArt5 of 270Not in the top three
Upflow4 of 273Not 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 Bluecopa. 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 27 of the 27 answers that named Bluecopa and are not a share of its labels.

Domains cited

bluecopa.comYour site27
highradius.com13
worldmetrics.org12
ledge.co8
upflow.io8
chaserhq.com7
numeric.io7
cashbook.com6
transformance.ai6
wifitalents.com6

Seventy-three of the 100 domain citations in answers naming Bluecopa came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Bluecopa

What the judge wrote, as written, with how often. The vendor table decides that these count as Bluecopa; a claim can dispute any of them.
BlueCopa 1
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 Bluecopa'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 Bluecopa, 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 bluecopa.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.

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