Finance AI Index

Index › Vendors › Order.co · September 2026 Edition

2 categories · Named, not ranked

Order.co

17Judge labels

0First choices

2Negative labels

8 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

7 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Order.co was named 7 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 business21 of 79

under the label threshold

Mid-market19 of 85

under the label threshold

Enterprise31 of 44

under the label threshold

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 Order.co 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%	19 of 85	0%	6	under 10 labels · led by Procurify at 45%
Spend management platforms	Spend and procurement	0%	24 of 39	0%	1	under 10 labels · led by Ramp at 49%

Movement

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

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	1	1
GPT-5.4 mini	1	0	1
Gemini 3.5 Flash	2	0	2
Perplexity Sonar	0	1	1
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	1	0	1
GLM 4.7 FlashX	0	1	1
MiniMax M2.5	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

Direct3 labelsNone

Paraphrase3 labelsNone

Comparative5 labelsNone

Budget-constrained1 labelNone

Scale-constrained3 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative17 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.

“Order.co: Acts as a unified marketplace and fintech solution... high volume of physical goods” Gemini 3.5 Flash · Procure-to-pay · scale prompt · alternative

“Best for: Multi-location companies, retail, or operations managing extensive physical inventory” Gemini 3.5 Flash · Procure-to-pay · paraphrase prompt · alternative

“Best if you need a very guided buying/catalog experience: Order.co” GPT-5.4 mini · Procure-to-pay · direct prompt · alternative

“Order.co - Best for High-Volume Physical Goods” Kimi K2 · Procure-to-pay · 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 Order.co, over the 17 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Order.co was named but was not.

ProductSame answerTook the first choice insteadHead to head

Procurify15 of 175Not in the top three

Coupa13 of 170Not in the top three

Precoro12 of 174Not in the top three

SAP Ariba9 of 170Not in the top three

Ramp8 of 171Not in the top three

Tradogram8 of 171Not in the top three

Tipalti5 of 171Not in the top three

GEP SMART5 of 170Not in the top three

ProcureDesk4 of 171Not in the top three

Payhawk4 of 170Not 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 Order.co. 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 17 answers that named Order.co and are not a share of its labels.

Domains cited

order.coYour site7

precoro.com6

procuredesk.com6

g2.com5

mindsprint.com5

ramp.com5

siit.io5

tradogram.com5

procurementvms.com4

spendflo.com4

Forty-five of the fifty-two domain citations in answers naming Order.co came from somebody else's page.

Pages cited

tradogram.com/blog/12-best-purchasing-software-for-small-mid-size-companies5

procurementvms.com/procurement/best-procurement-software.html4

emburse.com/resources/best-spend-management-platforms3

ramp.com/blog/procurement-software-small-business3

siit.io/blog/best-procurement-software3

zylo.com/blog/best-spend-management-software3

doss.com/trends/best-procurement-platforms-for-2026-a-complete-buyers-guide-for-physical-p2

g2.com/categories/purchasing-software/small-business2

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 Order.co'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 Order.co, 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 order.co 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.