Finance AI Index
Index Vendors › Procol · September 2026 Edition
1 category · Named, not ranked

Procol

14Judge labels
2First choices
2Negative labels
9 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
8 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Procol was named 8 times in Strategic sourcing, where Precoro led with 17%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In strategic sourcing · 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 Procol 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
Strategic sourcingSpend and procurement2%11 of 1270%8under 10 labels · led by Precoro at 17%

Movement

This is the first edition on this tier, so no move can be computed for Procol 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 Procol across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar12003
Grok 4.1 Fast00101
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K201001
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
Direct4 labelsNone
Paraphrase2 labels1
Comparative0 labelsNone
Budget-constrained7 labels1
Scale-constrained1 labelNone
Negative0 labelsNone
First choiceAlternativeMentionNegative14 labels in all, every segment counted; 2 of the 2 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.

“Procol if your priority is a more focused e-sourcing/RFP tool with strong RFx and eAuction features” Perplexity Sonar · Strategic sourcing · paraphrase prompt · first choice
“Best for a growing business that needs a straightforward and budget-friendly way to organize purchasing” Claude Haiku 4.5 · Strategic sourcing · budget prompt · alternative
“described as suitable for small and mid-sized businesses looking for affordable procurement tools” Perplexity Sonar · Strategic sourcing · budget prompt · alternative
“Procol: Focuses heavily on spend analytics and basic procurement automation.” Qwen 3.7 Flash · Strategic sourcing · 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 Procol, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Procol was named but was not.
ProductSame answerTook the first choice insteadHead to head
Tradogram8 of 144Not in the top three
Precoro6 of 141Not in the top three
ProcurePort6 of 140Not in the top three
SAP Ariba5 of 140Not in the top three
oboloo4 of 143Not in the top three
GEP SMART3 of 142Not in the top three
Coupa3 of 140Not in the top three
Market Dojo3 of 140Not in the top three
SourceRFX2 of 140Not in the top three
Zapro2 of 140Not 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 Procol. 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 14 of the 14 answers that named Procol and are not a share of its labels.

Domains cited

softwareconnect.com12
walkme.com11
g2.com9
gartner.com8
softwareadvice.com8
sourceforge.net6
entproc.com5
kurums.com5
softwaresuggest.com5
tropicapp.io5

Seventy-four of the seventy-four domain citations in answers naming Procol came from somebody else's page.

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 Procol'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 Procol, 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 procol.ai 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.