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

GEP

12Judge labels
1First 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. GEP was named 2 times in Strategic sourcing and 1 other category, where Precoro led with 17%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In strategic sourcing · 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 GEP 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
Strategic sourcingSpend and procurement2%17 of 1270%1under 10 labels · led by Precoro at 17%
Procure-to-paySpend and procurement0%36 of 850%1under 10 labels · led by Procurify at 45%

Movement

This is the first edition on this tier, so no move can be computed for GEP 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 GEP 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 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash10001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
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
Direct2 labelsNone
Paraphrase2 labelsNone
Comparative4 labels1not counted in share
Budget-constrained2 labelsNone
Scale-constrained1 label1
Negative1 labelNone
First choiceAlternativeMentionNegative12 labels in all, every segment counted; 1 of the 2 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.

“shortlist against Coupa, Jaggaer, GEP SMART, and Ivalua” DeepSeek V4 Flash · Strategic sourcing · scale prompt · first choice
“Choose GEP or Zycus if you want a broad S2P suite with automation-oriented procurement capabilities.” GPT-5.4 mini · 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 GEP, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and GEP was named but was not.
ProductSame answerTook the first choice insteadHead to head
SAP Ariba11 of 126Not in the top three
Coupa10 of 121Not in the top three
Ivalua7 of 120Not in the top three
Jaggaer7 of 120Not in the top three
Oracle Fusion Cloud Procurement5 of 120Not in the top three
Zycus3 of 120Not in the top three
Fairmarkit2 of 120Not in the top three
Market Dojo2 of 120Not in the top three
Precoro2 of 120Not in the top three
Zip2 of 120Not 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 GEP. 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 10 of the 12 answers that named GEP and are not a share of its labels.

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 GEP'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 GEP, 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 the vendor's own domain 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.