Enterprise AI assistants · November 2026 Edition
Glean vs Claude for Work
One of fourteen models named Glean first on the direct prompt; zero named Claude for Work. Glean was named by eleven of the fourteen models and Claude for Work by fourteen and Glean carries 33 labels and Claude for Work 34, so the shares are not directly comparable.
Named in two categories this edition.
Claude for Work
criticized challengerNamed in one category this edition.
First-choice share8%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%32%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 9; printed, not drawn.
Labels3334A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Glean reading right to left. Rank and label count are printed, not drawn.Microsoft 365 Copilot was named alongside these two in thirteen of the fourteen direct answers. Microsoft 365 Copilot vs Glean · Microsoft 365 Copilot vs Claude for Work · ChatGPT vs Glean
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.
GleanFirst choices, of fourteen modelsClaude for WorkDirect10
Paraphrase301 against Glean · 1 against Claude for Work
Comparative00
Budget-constrained013 against Glean · 1 against Claude for Work
Scale-constrained00
Negative001 against Glean · 9 against Claude for Work
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, Glean and Claude for Work were named in the same answer forty-seven times, of the 95 answers naming Glean and the 106 naming Claude for Work. In those answers Claude for Work took the first choice five times and Glean one.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Glean and Claude for Work stood in it.
| Model | DirectCF | ParaphraseCF | ComparativeCF | Budget-constrainedCF | Scale-constrainedCF | NegativeCF |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | CF | ||||
| GPT-5.4 mini | CF | |||||
| Gemini 3.5 Flash | CF | | CF | CF | CF | CF |
| Perplexity Sonar | | CF | CF | CF | CF | |
| Grok 4.20 | | | CF | CF | ||
| Mistral Small | | | CF | CF | ||
| DeepSeek V4 Flash | | | CF | CF | ||
| Llama 4 Maverick | CF | |||||
| Qwen 3.7 Flash | | | | |||
| Kimi K2 | | | CF | | CF | |
| GLM 4.7 FlashX | | CF | CF | |||
| MiniMax M2.5 | CF | CF | ||||
| GPT-6 Luna | CF | CF | CF | |||
| Muse Glimmer 30B | | CF | CF |
GleanCF Claude for Work first choice named as an alternative argued againstblank: not namedEach cell is one answer, Glean on the left and Claude for Work on the right.The direct prompt
The plain question, one answer per model, grouped by where Glean and Claude for Work stood in it.
Glean first, Claude for Work not the choice
1 of 14 modelsClaude for Work 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
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
Mistral SmallCoworker AI alternatives: Apollo AI, ChatGPT, Glean, Microsoft 365 Copilot, ZoomInfo Copilot
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
Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.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
Grok 4.20Microsoft 365 Copilot alternatives: Anthropic's Claude for Enterprise, ChatGPT, Google Gemini for Workspace
Llama 4 Maverickno first choice
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
GPT-6 LunaChatGPT alternatives: Claude Team or Enterprise, Gemini in Workspace, Microsoft 365 Copilot
Muse Glimmer 30BChatGPT, Microsoft 365 Copilot alternatives: Coworker
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
Claude for Work leads by ten points.
Claude for Work10%#3 of 7
Glean0%#7 of 7Mid-marketThe figures above
The order flips: Glean leads at mid-market.
Glean8%#3 of 9Claude for Work2%#6 of 9
The full mid-market standing →Enterprise
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
What the models said about Claude for Work
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Personal ChatGPT, Claude, Gemini or other consumer AI accounts used for work sit outside AI governance entirely.” Muse Glimmer 30B · negative prompt · hard negative
“Do not use consumer or "Pro" tiers of general chatbots for any sensitive business data” Kimi K2 · negative prompt · hard negative
“unsanctioned AI tools (e.g., ChatGPT, Claude) without IT oversight” GLM 4.7 FlashX · negative prompt · hard negative
“ChatGPT Business or Claude Team at ~ $20/user/mo annual, ~ $25/mo month-to-month, is the lowest published enterprise-grade assistant price” Muse Glimmer 30B · budget prompt · first choice
“Pick Claude Enterprise if: You work with long documents, need superior reasoning/writing, or prioritize data privacy” Kimi K2 · comparative prompt · alternative
“Particularly suited to lengthy contracts, reports, and datasets, with a strong emphasis on output quality and safety.” Perplexity Sonar · comparative prompt · alternative
Also compared
Microsoft 365 Copilot vs GleanMicrosoft 365 Copilot vs Claude for WorkChatGPT vs GleanChatGPT vs Claude for WorkGlean vs Amazon QGlean vs Google Gemini for WorkspaceAmazon Q vs Claude for WorkGoogle Gemini for Workspace vs Claude for WorkAll fifteen head-to-head pages and the full Enterprise AI standing
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.