Finance AI Index
Index Vendors › Global Sources · September 2026 Edition
2 categories · Named, not ranked

Global Sources

8Judge labels
0First choices
7Negative 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
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Global Sources was named 4 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.
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 Global Sources 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%84 of 85100%3under 10 labels · led by Procurify at 45%
Strategic sourcingSpend and procurement0%53 of 1270%1under 10 labels · led by Precoro at 17%

Movement

This is the first edition on this tier, so no move can be computed for Global Sources 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 Global Sources 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 Fast01012
Mistral Small00000
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200011
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Negative8 labelsNone
First choiceAlternativeMentionNegative8 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.

“Prefer vetted alternatives like Global Sources, SaleHoo, Spocket (US/EU focus), or Shopify Collective for higher trust.” Grok 4.1 Fast · Strategic sourcing · negative 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.

“Be cautious with B2B sourcing marketplaces like Global Sources... Global Sources scores 1.3/5 on Trustpilot with reports of fraud enabling” Grok 4.1 Fast · Procure-to-pay · negative prompt · hard negative
“The platforms to genuinely avoid for safety reasons are the open B2B marketplaces (Global Sources especially” DeepSeek V4 Flash · Procure-to-pay · negative prompt · hard negative
“Very low Trustpilot rating: 1.3/5 stars ... exercising "extreme caution"” Kimi K2 · Procure-to-pay · negative prompt · hard negative

Named alongside

The products named in the same answers as Global Sources, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Global Sources was named but was not.
ProductSame answerTook the first choice insteadHead to head
Alibaba8 of 80Not in the top three
SAP Ariba6 of 80Not in the top three
Coupa4 of 80Not in the top three
DHgate3 of 80Not in the top three
Made-in-China3 of 80Not in the top three
Precoro2 of 81Not in the top three
SaleHoo2 of 81Not in the top three
1688.com2 of 80Not in the top three
AliExpress2 of 80Not in the top three
LinkedIn Recruiter2 of 80Not 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 Global Sources. 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 8 of the 8 answers that named Global Sources and are not a share of its labels.

Domains cited

trustpilot.com6
linkedin.com5
reddit.com5
globalsources.comYour site4
iacrc.org4
24454788.fs1.hubspotusercontent-na1.net3
ie.trustpilot.com3
mindsprint.com3
procuredesk.com3
salehoo.com3

Thirty-five of the thirty-nine domain citations in answers naming Global Sources came from somebody else's page.

Pages cited

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 Global Sources'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 Global Sources, 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 globalsources.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.

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