Finance AI Index

Index › Vendors › Alibaba · September 2026 Edition

2 categories · Named, not ranked

Alibaba

13Judge labels

0First choices

13Negative labels

7 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

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Alibaba was named 5 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 business75 of 79

under the label threshold

Mid-market83 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 Alibaba 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%	83 of 85	100%	4	under 10 labels · led by Procurify at 45%
Strategic sourcing	Spend and procurement	0%	112 of 127	100%	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 Alibaba 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 Alibaba across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Negative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	2	2
Mistral Small	0	0
DeepSeek V4 Flash	1	1
Llama 4 Maverick	0	0
Qwen 3.7 Flash	1	1
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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative13 labelsNone

First choiceAlternativeMentionNegative13 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.

“avoid for safety reasons are the open B2B marketplaces (Global Sources especially, Alibaba with care)” DeepSeek V4 Flash · Procure-to-pay · negative prompt · hard negative

“While these platforms are legitimate, they host problematic suppliers. ... Alibaba doesn't guarantee that the supplier you communicate with is the same entity receiving your payment.” Kimi K2 · Procure-to-pay · negative prompt · soft negative

“Open Global B2B Directories (e.g., General Alibaba Sections): ... thousands of individual supplier accounts on open platforms operate without rigorous checks.” Qwen 3.7 Flash · Procure-to-pay · negative prompt · soft negative

“be cautious with platforms like Alibaba, AliExpress, DHgate, and 1688 due to common risks such as scams, low-quality suppliers, and fraudulent listings” Grok 4.1 Fast · Strategic sourcing · negative prompt · soft negative

Named alongside

The products named in the same answers as Alibaba, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Alibaba was named but was not.

ProductSame answerTook the first choice insteadHead to head

SAP Ariba10 of 130Not in the top three

Global Sources8 of 130Not in the top three

Coupa6 of 130Not in the top three

DHgate5 of 130Not in the top three

Made-in-China5 of 130Not in the top three

1688.com3 of 130Not in the top three

Procurify3 of 130Not in the top three

Precoro2 of 131Not in the top three

SaleHoo2 of 131Not in the top three

AliExpress2 of 130Not 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 Alibaba. 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 11 of the 13 answers that named Alibaba and are not a share of its labels.

Domains cited

reddit.com7

trustpilot.com7

linkedin.com6

iacrc.org5

spendflo.com5

globalsources.com4

procuredesk.com4

24454788.fs1.hubspotusercontent-na1.net3

auravms.com3

g2.com3

Forty-seven of the forty-seven domain citations in answers naming Alibaba came from somebody else's page.

Pages cited

trustpilot.com/review/www.globalsources.com6

iacrc.org/fraud-and-corruption/the-most-common-procurement-fraud-schemes-and-their-primary5

trustpilot.com/review/www.ariba.com5

linkedin.com/pulse/b2b-marketplace-fraud-hidden-risks-sourcing-from-alibaba-harilela-lopkc4

procuredesk.com/procurement-fraud4

24454788.fs1.hubspotusercontent-na1.net/hubfs/24454788/OM_Guide_6-Common-Procurement-Techn3

globalsources.com/knowledge/what-to-know-about-scams-on-globalsources-com-and-how-to-avoid3

hiretruffle.com/blog/sourcing-tools-for-recruiters3

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 Alibaba'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 Alibaba, 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 alibaba.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.