Finance AI Index

Index › Vendors › VNDLY · September 2026 Edition

2 categories · Named, not ranked

VNDLY

4Judge labels

0First choices

0Negative labels

4 of 12Models named it

2Categories

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. VNDLY was named 2 times in Procure-to-pay and 1 other category, where Procurify led with 45%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business25 of 79

under the label threshold

Mid-market62 of 85

under the label threshold

Enterprisenot named

No model named it for this buyer.

In procure-to-pay · 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 VNDLY 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
Procure-to-pay	Spend and procurement	0%	62 of 85	0%	1	under 10 labels · led by Procurify at 45%
Strategic sourcing	Spend and procurement	0%	106 of 127	0%	1	under 10 labels · led by Precoro at 17%

Movement

This is the first edition on this tier, so no move can be computed for VNDLY 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 VNDLY across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct1 labelNone

Paraphrase1 labelNone

Comparative0 labelsNone

Budget-constrained2 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative4 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.

No positive label carried a quote.

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 VNDLY, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and VNDLY was named but was not.

ProductSame answerTook the first choice insteadHead to head

Precoro3 of 40Not in the top three

Tradogram3 of 40Not in the top three

Zoho Inventory3 of 40Not in the top three

Ramp2 of 42Not in the top three

Odoo2 of 40Not in the top three

Cin7 Core1 of 41Not in the top three

oboloo1 of 41Not in the top three

Aestiva Sourcing RFQ1 of 40Not in the top three

BILL1 of 40Not in the top three

Coupa1 of 40Not 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 VNDLY. 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 4 of the 4 answers that named VNDLY and are not a share of its labels.

Domains cited

vndly.ioYour site3

learn.g2.com2

ramp.com2

softwareadvice.com2

softwareconnect.com2

auravms.com1

dupple.com1

entproc.com1

forbes.com1

fraxion.biz1

Thirteen of the sixteen domain citations in answers naming VNDLY came from somebody else's page.

Pages cited

learn.g2.com/best-procure-to-pay-software2

ramp.com/blog/procurement-software-small-business2

vndly.io/blog/best-purchase-order-software-small-business-20262

auravms.com/blogs/precoro-vs-procurify-vs-tradogram-best-rfq-software-smb-20261

dupple.com/learn/best-procurement-software1

entproc.com/low-cost-purchasing-software1

forbes.com/advisor/business/software/best-inventory-management-software1

fraxion.biz/blog/top-procure-to-pay-software1

Pages are listed as the models cited them.

Names read as VNDLY

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

Vndly 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 VNDLY'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 VNDLY, 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 vndly.io 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.