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

Zapro

15Judge labels
1First choices
1Negative labels
8 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. Zapro was named 8 times in Procure-to-pay, where Procurify led with 45%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 Zapro 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
Procure-to-paySpend and procurement0%15 of 850%8under 10 labels · led by Procurify at 45%

Movement

This is the first edition on this tier, so no move can be computed for Zapro 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 Zapro across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00000
DeepSeek V4 Flash01203
Llama 4 Maverick01001
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.501001

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
Direct0 labelsNone
Paraphrase1 labelNone
Comparative9 labelsNone
Budget-constrained3 labels1
Scale-constrained1 labelNone
Negative1 labelNone
First choiceAlternativeMentionNegative15 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.

“faster time-to-value with tools like Procurify, Precoro, Zapro.ai, Stampli, AvidXchange” DeepSeek V4 Flash · Procure-to-pay · negative prompt · alternative
“Positions itself as a high-value alternative to expensive enterprise suites.” Qwen 3.7 Flash · Procure-to-pay · comparative prompt · alternative
“Zapro is considered the best value for SMB and enterprise” Llama 4 Maverick · Procure-to-pay · comparative prompt · alternative
“Fastest implementation (weeks), AI-native” MiniMax M2.5 · Procure-to-pay · comparative 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 Zapro, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Zapro was named but was not.
ProductSame answerTook the first choice insteadHead to head
Precoro12 of 152Not in the top three
Procurify11 of 153Not in the top three
SAP Ariba8 of 153Not in the top three
Coupa8 of 152Not in the top three
Tradogram8 of 152Not in the top three
GEP SMART6 of 150Not in the top three
Ivalua5 of 150Not in the top three
Jaggaer4 of 150Not in the top three
Ramp3 of 151Not in the top three
Oracle Fusion Cloud Procurement3 of 150Not 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 Zapro. 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 15 of the 15 answers that named Zapro and are not a share of its labels.

Domains cited

procurementvms.com15
walkme.com9
g2.com7
siit.io6
mindsprint.com5
order.co5
tradogram.com5
vroozi.com5
esourcing.app4
financesonline.com4

Sixty-five of the sixty-five domain citations in answers naming Zapro came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Zapro

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