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Enterprise AI assistants · November 2026 Edition

Microsoft 365 Copilot vs Glean

Ten of fourteen models named Microsoft 365 Copilot first on the direct prompt; one named Glean. Microsoft 365 Copilot was named by fourteen of the fourteen models and Glean by eleven and Microsoft 365 Copilot carries 55 labels and Glean 33, so the shares are not directly comparable.

Microsoft 365 Copilot

endorsed leader

Named in two categories this edition.

Glean

accepted challenger

Named in two categories this edition.

First-choice share33%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate13%15%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 9; printed, not drawn.
Labels5533A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Microsoft 365 Copilot reading right to left. Rank and label count are printed, not drawn.ChatGPT was named alongside these two in eleven of the fourteen direct answers. Microsoft 365 Copilot vs ChatGPT · Microsoft 365 Copilot vs Amazon Q · Microsoft 365 Copilot vs Google Gemini for Workspace

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the Enterprise AI assistants page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Microsoft 365 CopilotFirst choices, of fourteen modelsGlean
Direct101
Paraphrase531 against Glean
Comparative100
Budget-constrained101 against Microsoft 365 Copilot · 3 against Glean
Scale-constrained00
Negative006 against Microsoft 365 Copilot · 1 against Glean
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Microsoft 365 Copilot and Glean were named in the same answer eighty times, of the 181 answers naming Microsoft 365 Copilot and the 95 naming Glean. In those answers Glean took the first choice seven times and Microsoft 365 Copilot thirty-eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Microsoft 365 Copilot and Glean stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Microsoft 365 Copilot Glean first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft 365 Copilot on the left and Glean on the right.

The direct prompt

The plain question, one answer per model, grouped by where Microsoft 365 Copilot and Glean stood in it.

Microsoft 365 Copilot first, Glean an alternative

10 of 14 modelsGlean was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Microsoft 365 Copilot alternatives: Apollo.io, Coworker, Gong
GPT-5.4 miniMicrosoft 365 Copilot alternatives: Agentforce, ChatGPT, Google Gemini, OpenAI, Salesforce Agentforce
Gemini 3.5 FlashGoogle Gemini for Workspace, Microsoft 365 Copilot alternatives: ChatGPT, Claude for Work, Decagon, Glean, HubSpot Breeze AI, Intercom Fin, Salesforce Agentforce
Perplexity SonarMicrosoft 365 Copilot alternatives: Claude for Enterprise, Glean, Google Gemini, HubSpot Breeze AI, Salesforce Agentforce
Grok 4.20Microsoft 365 Copilot alternatives: Anthropic's Claude for Enterprise, ChatGPT, Google Gemini for Workspace
DeepSeek V4 FlashMicrosoft 365 Copilot alternatives: ChatGPT, Claude for Enterprise, Coworker AI, Glean, Google Gemini for Workspace
Kimi K2Claude for Enterprise, Microsoft 365 Copilot alternatives: ChatGPT, Glean, Google Gemini for Workspace
GLM 4.7 FlashXChatGPT, Microsoft 365 Copilot alternatives: Gong, Google Gemini for Workspace, Intercom Fin, Salesforce Agentforce
MiniMax M2.5Microsoft 365 Copilot alternatives: ChatGPT, Kore.ai
Muse Glimmer 30BChatGPT, Microsoft 365 Copilot alternatives: Coworker

Glean first, Microsoft 365 Copilot an alternative

1 of 14 modelsMicrosoft 365 Copilot was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashGlean alternatives: Apollo, ChatGPT, Claude for Enterprise, Gemini for Workspace, Intercom Fin, Microsoft 365 Copilot, My AskAI, ZoomInfo Copilot

Neither was the first choice, one was named

2 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Mistral SmallCoworker AI alternatives: Apollo AI, ChatGPT, Glean, Microsoft 365 Copilot, ZoomInfo Copilot
GPT-6 LunaChatGPT alternatives: Claude Team or Enterprise, Gemini in Workspace, Microsoft 365 Copilot

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Microsoft 365 Copilot leads by twenty points.
Microsoft 365 Copilot20%#2 of 7
Glean0%#7 of 7
The full small business standing →
Mid-marketThe figures above
Microsoft 365 Copilot leads by twenty-four points.
Microsoft 365 Copilot33%#1 of 9
Glean8%#3 of 9
The full mid-market standing →
Enterprise
Microsoft 365 Copilot leads by forty-three points.
Microsoft 365 Copilot53%#1 of 9
Glean10%#2 of 9
The full enterprise standing →

What the models said about Microsoft 365 Copilot

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.

“Avoid Microsoft 365 Copilot in its default configuration (too broad access)” GLM 4.7 FlashX · negative prompt · hard negative
“Enterprise platform integrations such as Microsoft 365 Copilot, Google Gemini for Workspace, or Salesforce Einstein... their deep integration means the AI inherits existing internal user permissions” Gemini 3.5 Flash · negative prompt · soft negative
“Best for: Deep integration into Outlook, Teams, Word, Excel, and SharePoint... Why it wins for Mid-Market: Inherits your existing Microsoft Entra ID permissions out of the box” Gemini 3.5 Flash · direct prompt · first choice
“For a typical mid-market B2B company already on Microsoft 365, Microsoft 365 Copilot is the most practical, cost-effective starting point.” DeepSeek V4 Flash · direct prompt · first choice
“I recommend Microsoft Copilot (especially if you're already on Microsoft 365) or Glean as the top company-wide AI chatbot for employees.” Grok 4.20 · paraphrase prompt · first choice

What the models said about Glean

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Avoid high-cost options like Microsoft 365 Copilot ($30/user/month) or Glean (~$40–50/user/month)” Kimi K2 · budget prompt · hard negative
“Avoid ChatGPT Enterprise, Glean, or custom agent platforms initially” Perplexity Sonar · budget prompt · hard negative
“Stay away from ... Glean (~$98K/year)” DeepSeek V4 Flash · budget prompt · hard negative
“Glean — *Best Overall for Multi-App Search & Work Knowledge* ... is widely considered the top enterprise AI platform.” Gemini 3.5 Flash · paraphrase prompt · first choice
“The Best All-Rounder for Knowledge Search: Glean ... Glean is the industry leader for "Enterprise Search."” Qwen 3.7 Flash · paraphrase prompt · first choice
“Winner: Glean ... Glean is the leader. It acts as a universal search bar across all enterprise apps” Qwen 3.7 Flash · direct prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.