Every category where a model named Paystand 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
B2B payment acceptance	Receivables and billing	0%	19 of 91	0%	8	under 10 labels · led by Helcim at 17%
Cash application	Receivables and billing	0%	28 of 83	0%	4	under 10 labels · led by HighRadius at 16%
Accounts payable automation	Spend and procurement	0%	51 of 60	0%	1	under 10 labels · led by Stampli at 19%
Accounts receivable automation	Receivables and billing	0%	76 of 77	100%	1	under 10 labels · led by Zoho Books at 15%

Movement

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

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	1	0	0	1
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	2	0	1	3
Perplexity Sonar	1	1	0	2
Grok 4.1 Fast	0	0	0	0
Mistral Small	1	1	0	2
DeepSeek V4 Flash	2	0	0	2
Llama 4 Maverick	0	1	0	1
Qwen 3.7 Flash	1	0	0	1
Kimi K2	1	1	0	2
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	0	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

Direct7 labelsNone

Paraphrase6 labelsNone

Comparative3 labelsNone

Budget-constrained4 labels1

Scale-constrained3 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative25 labels in all, every segment counted; 1 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.

“excels in cash application by using AI and machine learning to automatically match incoming payments” Claude Haiku 4.5 · Cash application · direct prompt · alternative

“Best for: Eliminating transaction fees and transitioning buyers to digital bank payments.” Gemini 3.5 Flash · B2B payment acceptance · direct prompt · alternative

“best if you want governed B2B payment workflows with integration-driven reconciliation” Perplexity Sonar · B2B payment acceptance · direct prompt · alternative

“Best for lowest predictable processing costs: Paystand (zero-fee network)” DeepSeek V4 Flash · B2B payment acceptance · 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.

“With Paystand, users sometimes flag slower support response times during implementation” Gemini 3.5 Flash · Accounts receivable auto · negative prompt · soft negative

Named alongside

The products named in the same answers as Paystand, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Paystand was named but was not.

ProductSame answerTook the first choice insteadHead to head

BILL11 of 253Not in the top three

Versapay11 of 253Not in the top three

HighRadius11 of 252Not in the top three

Billtrust7 of 251Not in the top three

EBizCharge6 of 253Not in the top three

Stripe6 of 250Not in the top three

Melio5 of 250Not in the top three

Helcim4 of 252Not in the top three

Tipalti4 of 250Not in the top three

Esker3 of 250Not 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 Paystand. 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 18 of the 25 answers that named Paystand and are not a share of its labels.

Domains cited

highradius.com11

rillion.com7

gartner.com6

learn.g2.com5

paystand.comYour site5

capterra.com4

ebizcharge.com4

stuut.ai4

techrepublic.com4

chaserhq.com3

Forty-eight of the fifty-three domain citations in answers naming Paystand came from somebody else's page.

Pages cited

highradius.com/resources/Blog/best-b2b-payment-platforms7

gartner.com/reviews/market/b2b-payments-software6

rillion.com/blog/best-b2b-payment-platforms6

ebizcharge.com/blog/best-b2b-merchant-services-providers-in-20264

techrepublic.com/article/best-b2b-payment-processors4

connectpay.com/blog/b2b-payment-platforms3

highradius.com/resources/Blog/best-cash-application-automation-tools3

learn.g2.com/best-accounts-receivable-software3

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 Paystand'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 Paystand, 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 paystand.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.