GTM AI Index

Index › Vendors › OpenText · September 2026 Edition

1 category · Named, not ranked

OpenText

12Judge labels

0First choices

1Negative labels

8 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. OpenText was named 3 times in DAM, where Canto led with 34%. 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-market26 of 68

under the label threshold

Enterprise14 of 55

under the label threshold

In dam · 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 OpenText 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
Digital asset management	Marketing	0%	26 of 68	0%	3	under 10 labels · led by Canto at 34%

Movement

This is the first edition on this tier, so no move can be computed for OpenText yet. The next is due October 1, 2026. 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 OpenText across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct1 labelNone

Paraphrase1 labelNone

Comparative6 labelsNone

Budget-constrained1 labelNone

Scale-constrained1 labelNone

Negative2 labelsNone

First choiceAlternativeMentionNegative12 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.

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.

No model argued against it.

Named alongside

The products named in the same answers as OpenText, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenText was named but was not.

ProductSame answerTook the first choice insteadHead to head

Aprimo10 of 124Not in the top three

Bynder10 of 123Not in the top three

Adobe Experience Manager Assets10 of 122Not in the top three

Orange Logic9 of 120Not in the top three

Acquia DAM8 of 121Not in the top three

Cloudinary8 of 120Not in the top three

Brandfolder7 of 120Not in the top three

Canto6 of 121Not in the top three

Frontify6 of 120Not in the top three

MediaValet6 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 OpenText. 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 3 of the 12 answers that named OpenText and are not a share of its labels.

Domains cited

cmswire.com3

getmasset.com3

stockpress.co3

aprimo.com2

bynder.com2

canto.com2

celum.com2

frontify.com2

vntana.com2

bluetraildigital.com1

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

Pages cited

cmswire.com/digital-asset-management/examining-19-enterprise-digital-asset-management-solu3

getmasset.com/digital-asset-management-software3

stockpress.co/resources/10-resources-best-digital-asset-management-software-20263

aprimo.com/blog/best-digital-asset-management-software2

canto.com/blog/top-dam-software2

celum.com/en/blog/digital-asset-management-systems2

frontify.com/en/guide/digital-asset-management-software2

vntana.com/roundup/best-enterprise-digital-asset-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 OpenText'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 OpenText, 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 opentext.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.