Index › Products › Copilot · October 2026 Edition

3 categories · Named, not ranked

Copilot

16Judge labels

1First choices

9Negative labels

8 / 14Models named it

3Categories

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Copilot was named 5 times in AI SOC agents and 2 other categories, where Dropzone AI led with 24%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business61 of 93

under the label threshold

Mid-market19 of 104

under the label threshold

Enterprise43 of 95

under the label threshold

In ai soc agents · 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 Copilot 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 SOC agents	Security operations	2%	19 of 104	0%	2	under 10 labels · led by Dropzone AI at 24%
Enterprise AI assistants	Data platform	0%	129 of 145	50%	2	under 10 labels · led by ChatGPT at 25%
AI security platforms	Security operations	0%	216 of 233	100%	1	under 10 labels · led by SentinelOne Singularity at 11%

Movement

This is the first edition on this tier, so no move can be computed for Copilot 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 Copilot across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0	0
GPT-5.4 mini	0	0	0	0	0
Gemini 3.5 Flash	0	0	0	0	0
Perplexity Sonar	0	0	0	0	0
Grok 4.20	0	0	0	0	0
Mistral Small	0	0	0	0	0
DeepSeek V4 Flash	0	0	0	0	0
Llama 4 Maverick	0	0	0	0	0
Qwen 3.7 Flash	1	1	1	0	3
Kimi K2	0	0	0	0	0
GLM 4.7 FlashX	0	0	0	0	0
MiniMax M2.5	0	0	0	0	0
GPT-6 Luna	0	0	0	0	0
Muse Glimmer 30B	0	0	0	2	2

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

Paraphrase2 labelsNone

Comparative0 labelsNone

Budget-constrained1 label1

Scale-constrained2 labelsNone

Negative10 labelsNone

First choiceAlternativeMentionNegative16 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.

“For the fastest startup with $0 margin spend: Start with Microsoft Sentinel (if you have E5 licenses).” Qwen 3.7 Flash · AI SOC agents · budget prompt · first choice

“The Best for Microsoft Shops: Microsoft Sentinel + Copilot” Qwen 3.7 Flash · AI SOC agents · paraphrase 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.

“Every major coding agent shipped with exploitable prompt injection vulnerabilities.” Muse Glimmer 30B · AI security · negative prompt · hard negative

“Avoid or strictly gate free ChatGPT, free Claude, free Gemini and free Copilot consumer accounts for work data.” Muse Glimmer 30B · Enterprise AI · negative prompt · soft negative

Named alongside

The products named in the same answers as Copilot, over the 16 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Copilot was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Google Gemini9 of 160Not among the top eight

ChatGPT7 of 160Not among the top eight

Claude7 of 160Not among the top eight

Microsoft Sentinel4 of 160Not among the top eight

DeepSeek3 of 160Not among the top eight

OpenAI3 of 160Not among the top eight

Dropzone AI2 of 161Not among the top eight

Anthropic2 of 160Not among the top eight

Microsoft 365 Copilot2 of 160Not among the top eight

Wazuh2 of 160Not 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 Copilot. 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 14 of the 16 answers that named Copilot and are not a share of its labels.

Domains cited

intuitionlabs.ai3

learn.microsoft.com3

linkedin.com3

underdefense.com3

akamai.com2

caywork.com2

cyber.gov.au2

expertinsights.com2

it-b.co.uk2

kiteworks.com2

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

Pages cited

akamai.com/site/en/documents/state-of-the-internet/2026/enterprise-ai-risk-report.pdf2

caywork.com/learn/blog/how-enterprise-it-teams-evaluate-ai-agent-vendors2

intuitionlabs.ai/articles/enterprise-ai-assistants-comparison2

intuitionlabs.ai/articles/responsible-enterprise-ai-privacy-governance2

it-b.co.uk/wp-content/uploads/2025/09/2025_Skyhigh_Security_Cloud_Adoption_and_Risk_Report2

learn.microsoft.com/en-us/microsoft-365/copilot/enterprise-data-protection2

underdefense.com/blog/ai-soc-for-smb2

underdefense.com/blog/most-affordable-ai-soc-platforms2

Pages are listed as the models cited them.

Names read as Copilot

What the judge wrote, as written, with how often. The vendor table decides that these count as Copilot; a claim can dispute any of them.

Microsoft Sentinel + Copilot 2

Follow Copilot

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

where Copilot 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 Copilot, 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.