AI Indexes
IT AI Index
Index › Products › Google Gemini · October 2026 Edition
5 categories · Ranked

Google Gemini

106Judge labels
4First choices
34Negative labels
14 / 14Models named it
5Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
5% in Enterprise AI for small business buyers
Rank 18 of 145 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 21% of its 24 labels there were negative.
What the models named instead of Google Gemini →
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 Google Gemini 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%18 of 14521%24accepted challenger
AI coding assistantsDeveloper platform0%39 of 4833%3under 10 labels · led by GitHub Copilot at 75%▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
AI security platformsSecurity operations0%231 of 233100%2under 10 labels · led by SentinelOne Singularity at 11%
ML platformsData platform0%105 of 107100%2under 10 labels · led by Azure Machine Learning at 21%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
AI IT support agentsIT operations and endpoint0%120 of 121100%1under 10 labels · led by Freshservice with Freddy AI at 11%

Movement

This is the first edition on this tier, so no move can be computed for Google Gemini 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 Google Gemini 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 mini04004
Gemini 3.5 Flash02013
Perplexity Sonar00022
Grok 4.2002002
Mistral Small01001
DeepSeek V4 Flash02024
Llama 4 Maverick00011
Qwen 3.7 Flash01012
Kimi K201001
GLM 4.7 FlashX00112
MiniMax M2.500000
GPT-6 Luna03003
Muse Glimmer 30B01337

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
Direct11 labelsNone
Paraphrase11 labelsNone
Comparative21 labels1not counted in share
Budget-constrained19 labels4
Scale-constrained4 labelsNone
Negative40 labelsNone
First choiceAlternativeMentionNegative106 labels in all, every segment counted; 4 of the 5 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.

“Mostly Google Workspace? Start with Gemini for Workspace; evaluate Gemini Enterprise if you need broader cross-system search” GPT-6 Luna · Enterprise AI · comparative prompt · alternative
“good if your company is already heavily on Google Cloud, but pricing is more platform-oriented and less obviously budget-first” GPT-5.4 mini · Enterprise AI · budget prompt · alternative
“If your team uses Google Workspace, Gemini (~$21/user Business edition) bundles well for ~$14–20 total with base plans.” Grok 4.20 · Enterprise AI · budget prompt · alternative
“Already on Google Workspace? Check the Gemini features in your current plan before buying another AI subscription.” GPT-6 Luna · Enterprise AI · budget 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.

“Consumer-grade AI platforms like free/public ChatGPT, Gemini, and Claude, as they do not meet enterprise AI compliance requirements” Llama 4 Maverick · AI security · negative prompt · hard negative
“Free ChatGPT, Gemini, Claude etc. are not designed for enterprise data handling.” Muse Glimmer 30B · AI IT agents · negative prompt · hard negative
“Training is enabled by default on many tiers” DeepSeek V4 Flash · Enterprise AI · negative prompt · hard negative
“tools that look like consumer ChatGPT/Claude/Gemini-style accounts but are used in a company setting without enterprise controls” Perplexity Sonar · Enterprise AI · negative prompt · soft negative

Named alongside

The products named in the same answers as Google Gemini, over the 105 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Gemini was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
ChatGPT80 of 10529Not among the top eight
Microsoft 365 Copilot54 of 10520Not among the top eight
Claude51 of 1053Not among the top eight
Amazon Q20 of 1052Not among the top eight
Microsoft Copilot18 of 1053Not among the top eight
GitHub Copilot14 of 1052Not among the top eight
Glean14 of 1051Not among the top eight
Anthropic Claude Enterprise10 of 1050Not among the top eight
Tabnine9 of 1053Not among the top eight
Copilot9 of 1050Not 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 Google Gemini. 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 105 of the 105 answers that named Google Gemini and are not a share of its labels.

Domains cited

resources.rework.com35
coworker.ai27
intuitionlabs.ai26
slite.com26
microsoft.com24
linkedin.com18
glean.com15
openai.com15
perceptis.ai15
learn.microsoft.com14

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

Pages cited

Pages are listed as the models cited them.

Search and answers

Where Google Gemini stands in Google search beside where it stands in the models' answers.
ShowHide

In search

Google, US estimates
Searches for its name, Google
6,120,000 a month (“google gemini”)
AI search demand for its name, est.
8,866 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
0%
rank 18 of 145 in Enterprise AI
Segment leader
25%
ChatGPT
First choices
4 across its categories
Named in
105 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read October 5, 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.

Names read as Google Gemini

What the judge wrote, as written, with how often. The vendor table decides that these count as Google Gemini; a claim can dispute any of them.
Gemini 8Google Gemini Enterprise 7Gemini Enterprise 4Gemini Business 2Google Gemini Enterprise / Gemini for Workspace 2Gemini (Google) 1Gemini Standard 1Gemini for Workspace / Gemini Enterprise 1Google Gemini (for Workspace) 1Google Gemini Enterprise / Agent Platform 1Google Gemini for Workspace / Gemini Enterprise 1

Follow Google Gemini

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.

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

  • where Google Gemini 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 Google Gemini, 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.