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Index › Products › Gemini for Workspace · October 2026 Edition
1 category · Named, not ranked

Gemini for Workspace

7Judge labels
0First choices
0Negative labels
4 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Gemini for Workspace was named 4 times in Enterprise AI, where ChatGPT led with 25%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In enterprise ai · 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 Gemini for Workspace 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
Enterprise AI assistantsData platform0%25 of 1450%4under 10 labels · led by ChatGPT at 25%

Movement

This is the first edition on this tier, so no move can be computed for Gemini for Workspace 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 Gemini for Workspace across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini02002
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001

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
Direct2 labelsNone
Paraphrase0 labelsNone
Comparative4 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative0 labelsNone
First choiceAlternativeMentionNegative7 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.

“Best for: Google Workspace organizations. "Gemini for Google Workspace organizations."” Muse Glimmer 30B · Enterprise AI · comparative prompt · alternative
“Gemini for Workspace — best if Google Workspace is your backbone.” GPT-5.4 mini · Enterprise AI · direct prompt · alternative
“If you live in Google Workspace → Gemini Enterprise.” GPT-5.4 mini · Enterprise AI · comparative 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.

No model argued against it.

Named alongside

The products named in the same answers as Gemini for Workspace, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Gemini for Workspace was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
ChatGPT5 of 73Not among the top eight
Microsoft 365 Copilot4 of 72Not among the top eight
Google Gemini4 of 70Not among the top eight
Amazon Q3 of 70Not among the top eight
Microsoft Copilot3 of 70Not among the top eight
Claude2 of 70Not among the top eight
Claude for Enterprise1 of 71Not among the top eight
OpenAI ChatGPT Enterprise1 of 71Not among the top eight
Aisera1 of 70Not among the top eight
Anthropic Claude Enterprise1 of 70Not 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 Gemini for Workspace. 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 7 of the 7 answers that named Gemini for Workspace and are not a share of its labels.

Domains cited

microsoft.com3
coworker.ai2
help.openai.com2
resources.rework.com2
aws.amazon.com1
business.udemy.com1
codecones.com1
customgpt.ai1
dancumberlandlabs.com1
enterprisedna.co1

No domain is on file for Gemini for Workspace, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

Names read as Gemini for Workspace

What the judge wrote, as written, with how often. The vendor table decides that these count as Gemini for Workspace; a claim can dispute any of them.
Google Gemini Enterprise / Gemini for Workspace 2Gemini for Workspace / Gemini Enterprise 1

Follow Gemini for Workspace

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.

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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 Gemini for Workspace'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 Gemini for Workspace, 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 Gemini for Workspace by email, built from the raw record of the edition. It shows:

  • where Gemini for Workspace 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 Gemini for Workspace, 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 the vendor's own domain 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.