Finance AI Index

Index › Vendors › OneTrust · September 2026 Edition

1 category · Named, not ranked

OneTrust

9Judge labels

0First choices

2Negative labels

5 of 12Models named it

1Category

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. OneTrust was named 2 times in Entity management, where Athennian led with 18%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market60 of 87

under the label threshold

Enterprise23 of 83

under the label threshold

In entity management · 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 OneTrust 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
Entity management	Equity and corporate	0%	60 of 87	50%	2	under 10 labels · led by Athennian at 18%

Movement

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

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

Direct3 labelsNone

Paraphrase1 labelNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained2 labelsNone

Negative3 labels1not counted in share

First choiceAlternativeMentionNegative9 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.

“Look for specialized, lower-cost modern entrants (like Agiloft, OneTrust” Qwen 3.7 Flash · Entity management · negative prompt · first choice

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.

“Often more expensive/heavy-weight than necessary for 500 employees.” Qwen 3.7 Flash · Entity management · scale prompt · soft negative

Named alongside

The products named in the same answers as OneTrust, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OneTrust was named but was not.

ProductSame answerTook the first choice insteadHead to head

Coupa3 of 90Not in the top three

SAP Ariba3 of 90Not in the top three

Discern2 of 92Not in the top three

Workiva2 of 92Not in the top three

Cority2 of 90Not in the top three

Gatekeeper2 of 90Not in the top three

Riskonnect2 of 90Not in the top three

Sphera2 of 90Not in the top three

Venminder2 of 90Not in the top three

Wolters Kluwer2 of 90Not 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 OneTrust. 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 9 answers that named OneTrust and are not a share of its labels.

Domains cited

gartner.com5

worldmetrics.org5

f6s.com3

g2.com3

coolset.com2

discern.com2

esg-one.co2

gitwiki.org2

guideflow.com2

mindsprint.com2

Twenty-eight of the twenty-eight domain citations in answers naming OneTrust came from somebody else's page.

Pages cited

coolset.com/academy/best-esg-reporting-software-tools2

discern.com/resources/best-entity-management-software-growing-companies2

esg-one.co/blog/esg-reporting-software-comparison2

f6s.com/software/category/legal-entity-management2

gartner.com/reviews/market/esg-management-and-reporting-software2

gitwiki.org/best-esg-reporting-software2

guideflow.com/blog/esg-reporting-software2

mindsprint.com/resources/blogs/vendor-management-software2

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 OneTrust'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 OneTrust, 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 onetrust.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.