IT AI Index

Index › Vendors › Google Gemini · September 2026 Edition

2 categories · Named, not ranked

Google Gemini

7Judge labels

1First choices

5Negative labels

5 of 12Models named it

2Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, 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. Google Gemini was named 4 times in AI coding and 1 other category, where GitHub Copilot led with 67%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business38 of 45

under the label threshold

Mid-market11 of 46

under the label threshold

Enterprise35 of 47

under the label threshold

In ai coding · 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
AI coding assistants	Developer platform	2%	11 of 46	50%	2	under 10 labels · led by GitHub Copilot at 67%
ML platforms	Data platform	0%	94 of 99	100%	2	under 10 labels · led by Azure Machine Learning at 17%

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, 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. 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	1	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	1	0	1
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	1	1

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative1 labelNone

Budget-constrained1 label1

Scale-constrained0 labelsNone

Negative5 labelsNone

First choiceAlternativeMentionNegative7 labels in all, every segment counted; 1 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.

“such as GitHub Copilot (individual plan), Replit, or Gemini” Llama 4 Maverick · AI coding · budget 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.

“Google Gemini - Among the most data-collecting platforms” MiniMax M2.5 · ML platforms · negative prompt · hard negative

“Standard, Free-Tier Web Chatbots (ChatGPT, Gemini, Claude)” Gemini 3.5 Flash · AI coding · negative prompt · hard negative

“Incogni ranks Meta AI, Gemini, Copilot, DeepSeek worst for opt-out controls” Grok 4.1 Fast · ML platforms · negative prompt · soft negative

Named alongside

The products named in the same answers as Google Gemini, over the 7 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.

ProductSame answerTook the first choice insteadHead to head

ChatGPT5 of 70Not in the top three

Claude4 of 70Not in the top three

Cursor4 of 70Not in the top three

GitHub Copilot3 of 71Not in the top three

Windsurf3 of 70Not in the top three

Amazon Q Developer2 of 71Not in the top three

Claude Code2 of 70Not in the top three

DeepSeek2 of 70Not in the top three

Meta AI2 of 70Not in the top three

Replit AI2 of 70Not 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 Google Gemini. 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 5 of the 7 answers that named Google Gemini and are not a share of its labels.

Domains cited

dev.to4

blog.incogni.com2

daily.dev2

helpnetsecurity.com2

ibm.com2

learn.g2.com2

witness.ai2

21998286.fs1.hubspotusercontent-na1.net1

akamai.com1

alternativeto.net1

Nineteen of the nineteen domain citations in answers naming Google Gemini came from somebody else's page.

Pages cited

blog.incogni.com/ai-llm-privacy-ranking-20252

daily.dev/blog/best-ai-coding-assistants-comparison2

dev.to/rahulxsingh/best-ai-coding-assistants-in-2026-we-tested-20-44162

learn.g2.com/best-ai-coding-assistants2

21998286.fs1.hubspotusercontent-na1.net/hubfs/21998286/HiddenLayer%20AI%20Threat%20Landsca1

akamai.com/site/en/documents/state-of-the-internet/2026/enterprise-ai-risk-report.pdf1

alternativeto.net/news/2024/9/anthropic-launches-claude-enterprise-plan-to-rival-openai-s-1

arxiv.org/html/2402.00888v21

Pages are listed as the models cited them.

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 3

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.

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 googlegemini.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.