Finance AI Index
Index Vendors › SAP GRC · September 2026 Edition
2 categories · Ranked

SAP GRC

28Judge labels
2First choices
9Negative labels
12 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.
Best standing
4% in Internal controls for enterprise buyers
Rank 66 of 71 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 50% of its 4 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In internal controls · 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 GRC 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
Internal controls and SOXTax and compliance0%66 of 7150%4under 10 labels · led by AuditBoard at 18%
Global e-invoicing complianceTax and compliance0%94 of 108100%1under 10 labels · led by Avalara at 28%

Movement

This is the first edition on this tier, so no move can be computed for SAP GRC 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 GRC 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 Fast00011
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00022
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
Direct8 labels1
Paraphrase3 labelsNone
Comparative7 labels1not counted in share
Budget-constrained4 labels1
Scale-constrained4 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative28 labels in all, every segment counted; 2 of the 3 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.

“Only choose these if you have a dedicated team willing to spend 6–12 months configuring workflows” Qwen 3.7 Flash · Internal controls · negative prompt · soft negative
“It is much easier to implement than a full suite like SAP GRC or Oracle BIP.” Qwen 3.7 Flash · Global e-invoicing compl · direct prompt · soft negative
“non-SAP integrations may underperform” Grok 4.1 Fast · Internal controls · negative prompt · soft negative

Named alongside

The products named in the same answers as SAP GRC, over the 28 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SAP GRC was named but was not.
ProductSame answerTook the first choice insteadHead to head
MetricStream19 of 281Not in the top three
AuditBoard18 of 288Not in the top three
Workiva18 of 282Not in the top three
ServiceNow Integrated Risk Management15 of 280Not in the top three
Diligent One Platform11 of 280Not in the top three
Oracle GRC10 of 280Not in the top three
Vanta8 of 282Not in the top three
Drata8 of 281Not in the top three
Archer6 of 280Not in the top three
LogicGate Risk Cloud6 of 280Not 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 GRC. 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 21 of the 28 answers that named SAP GRC and are not a share of its labels.

Domains cited

optro.ai14
worldmetrics.org14
netwrix.com10
checkthat.ai9
gitnux.org9
riskpublishing.com9
gartner.com8
highradius.com8
zipdo.co8
riskwatch.com7

Ninety-six of the ninety-six domain citations in answers naming SAP GRC 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 SAP GRC'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 GRC, 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 sapgrc.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.