HR AI Index

Index › Vendors › SAP Ariba · September 2026 Edition

SAP · 1 category · Named, not ranked

SAP Ariba

18Judge labels

0First choices

9Negative labels

9 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, 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. SAP Ariba was named 2 times in Recruiting CRM, where Lever led with 20%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business106 of 106

under the label threshold

Mid-market78 of 88

under the label threshold

Enterprise25 of 81

under the label threshold

In recruiting crm · 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 SAP Ariba 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
Recruiting CRM and sourcing	Talent acquisition	0%	78 of 88	50%	2	under 10 labels · led by Lever at 20%

Movement

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

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative10 labels1not counted in share

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative8 labelsNone

First choiceAlternativeMentionNegative18 labels in all, every segment counted; 0 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.

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.

“Frequently criticized as outdated, clunky, and inefficient (e.g., Reddit procurement communities strongly advise steering clear).” Grok 4.1 Fast · Recruiting CRM · negative prompt · hard negative

Named alongside

The products named in the same answers as SAP Ariba, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SAP Ariba was named but was not.

ProductSame answerTook the first choice insteadHead to head

Coupa15 of 181Not in the top three

Jaggaer12 of 180Not in the top three

GEP SMART9 of 180Not in the top three

Ivalua9 of 180Not in the top three

Keelvar6 of 180Not in the top three

LinkedIn Recruiter6 of 180Not in the top three

Procurify6 of 180Not in the top three

SeekOut5 of 181Not in the top three

Gem4 of 182Not in the top three

hireEZ4 of 181Not 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 SAP Ariba. 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 17 of the 18 answers that named SAP Ariba and are not a share of its labels.

Domains cited

guideflow.com8

reddit.com7

spendflo.com7

hiretruffle.com6

leonar.app6

auravms.com5

gartner.com5

siit.io5

gitnux.org4

kurums.com4

Fifty-seven of the fifty-seven domain citations in answers naming SAP Ariba came from somebody else's page.

Pages cited

guideflow.com/blog/sourcing-software7

hiretruffle.com/blog/sourcing-tools-for-recruiters6

leonar.app/blog/best-talent-sourcing-platforms6

reddit.com/r/procurement/comments/1gpgktb/why_are_procure_to_pay_tools_rubbish_and_crazy5

siit.io/blog/best-procurement-software5

spendflo.com/blog/e-sourcing-platform5

gartner.com/reviews/market/e-sourcing-applications4

gartner.com/reviews/market/strategic-sourcing-application-suites4

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 SAP Ariba'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 SAP Ariba, 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 sap.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.