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IT AI Index
Index › Products › OpenText · October 2026 Edition
6 categories · Ranked

OpenText

46Judge labels
0First choices
9Negative labels
13 / 14Models named it
6Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in Comms archiving for mid-market buyers
Rank 22 of 101 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 8 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In comms archiving · 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Communications archiving and complianceSecurity operations0%22 of 1010%8under 10 labels · led by Smarsh Enterprise Archive at 20%
Data security posture managementSecurity operations0%28 of 1050%4under 10 labels · led by Microsoft Purview at 18%
Identity governanceIdentity and access0%72 of 7667%3under 10 labels · led by Microsoft Entra ID Governance at 25%newNew since September 2026: not ranked then, 0% now.
Intelligent document processingData platform0%83 of 89100%1under 10 labels · led by Nanonets at 32%
IT service managementIT operations and endpoint0%50 of 690%1under 10 labels · led by Freshservice at 58%newNew since September 2026: not ranked then, 0% now.
Managed file transferData platform0%66 of 970%1under 10 labels · led by Files.com at 43%

Movement

This is the first edition on this tier, so no move can be computed for OpenText yet. From the next edition this section shows, per buyer segment and per category, 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. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00101
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2001113
Mistral Small01203
DeepSeek V4 Flash01102
Llama 4 Maverick00000
Qwen 3.7 Flash01012
Kimi K200101
GLM 4.7 FlashX00011
MiniMax M2.500000
GPT-6 Luna00202
Muse Glimmer 30B00303

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
Direct5 labelsNone
Paraphrase4 labelsNone
Comparative20 labelsNone
Budget-constrained2 labelsNone
Scale-constrained4 labelsNone
Negative11 labelsNone
First choiceAlternativeMentionNegative46 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.

“A strong contender if you want to unify your business communication archive with your broader content management systems.” Qwen 3.7 Flash · Comms archiving · direct prompt · alternative
“If you need enforceable data-layer protection (encryption/tokenization) → Thales or OpenText” DeepSeek V4 Flash · DSPM · comparative prompt · alternative
“OpenText, Oracle, IBM, Broadcom, and EmpowerID offer strong alternatives” Mistral Small · IGA · comparative prompt · alternative
“Legacy + modern channels | Complex environments | Robust for mid-size.” Grok 4.20 · Comms archiving · scale 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.

“NetIQ (Post-Micro Focus/Transition era), older legacy CA builds.” Qwen 3.7 Flash · IGA · negative prompt · hard negative
“Often oversold; may not deliver true AI-driven document understanding; legacy approaches struggle with unstructured data” GLM 4.7 FlashX · Document processing · negative prompt · soft negative
“Less innovative in AI/cloud.” Grok 4.20 · IGA · comparative prompt · soft negative

Named alongside

The products named in the same answers as OpenText, over the 46 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.
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ProductSame answerTook the first choice insteadHead to head
IBM11 of 460Not among the top eight
Smarsh Enterprise Archive10 of 464Not among the top eight
BigID10 of 462Not among the top eight
Thales10 of 460Not among the top eight
Proofpoint Enterprise Archive9 of 464Not among the top eight
Varonis Data Security Platform9 of 460Not among the top eight
Cyera8 of 465Not among the top eight
Global Relay8 of 460Not among the top eight
UiPath Document Understanding7 of 460Not among the top eight
ABBYY Vantage6 of 464Not among the top eight
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 42 of the 46 answers that named OpenText and are not a share of its labels.

Domains cited

gartner.com22
expertinsights.com11
jatheon.com10
cpl.thalesgroup.com9
cybersecuritynews.com9
forcepoint.com8
g2.com8
archondatastore.com7
startupstash.com6
worldmetrics.org6

Ninety-six of the ninety-six domain citations in answers naming OpenText came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

opentext.com is not in Google's top ten for any of the category's searches. In the answers, OpenText takes 0% of first choices and Smarsh Enterprise Archive takes 20%.
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In search

Google, US estimates
Position for “communications archiving platform”
–
not in the top ten
Position for “communications archiving platforms”
–
not in the top ten
Searches for its name, Google
14,800 a month (“opentext”)
AI search demand for its name, est.
1,286 a month
Organic visits to its site
about 220,938 a month
Searches its site ranks for
23,473 · 1,910 in the top three
Sites linking to it
29,267
Paid Google search
1 searches its ads show for, about 4 clicks and $281 a month (estimate)
Ads on GoogleDetailLess
96+ ads · 59 text, 28 image, 9 video · 27 shown in the last 30 days

First shown January 2025, as OPEN TEXT CORPORATION, verified. Ads started 2025-10 to 2026-09: 90 in the year, 6 before. 24 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
0%
rank 22 of 101 in comms archiving
Segment leader
20%
Smarsh Enterprise Archive
First choices
0 across its categories
Named in
46 answers
Its own site cited
in 42 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

ShowHide
Addresses on opentext.com
26,188
subdomains included
Content
7,060
counted in the table below
Documentation
1,341
Product · Integration
1,728 · 159
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Case study3,839undated
News or press1,745undatedUEM
Glossary or explainer811undatedUEM
Blog529162026-09-28SIEM
Webinar or virtual event47undated
Conference or event42undated
Report or ebook2702026-04-10
Podcast or video1502026-01-28
Comparison4undated
Template or tool1undated
How it is countedHide how it is counted

Every page opentext.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Of its titles that name a category, most name UEM (10); 0 name its categories the models place it in. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Names read as OpenText

What the judge wrote, as written, with how often. The vendor table decides that these count as OpenText; a claim can dispute any of them.
Micro Focus / OpenText (NetIQ) 1OpenText (Micro Focus) 1OpenText (NetIQ Identity Governance) 1OpenText (Voltage / DSPM) 1OpenText (formerly Micro Focus) 1Veritas/OpenText 1

Follow OpenText

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

OpenText is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
Secure Information Management for AI
For
organizations
Integrations claimed
1000 opentext.com/products/fax
Customers named
VerizonDIRECTV Latin AmericaBMO Harris BankThe Consortium ClemengerWorld VisionCooper StandardRedcentricPick n Pay
Not stated on the pages read
Price, starting price, free plan or trial, certifications, hosting

What OpenText's own pages state, read October 5, 2026: opentext.com, opentext.com/products/fax, opentext.com/customers. A claimed page can correct any of 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.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for OpenText by email, built from the raw record of the edition. It shows:

  • where OpenText is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name OpenText, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at opentext.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.