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Blackbox.ai vs ChatGPT Team - Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 9, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Blackbox.ai
Ranking in AI Code Assistants
9th
Ranking in Large Language Models (LLMs)
3rd
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
ChatGPT Team - Enterprise
Ranking in AI Code Assistants
5th
Ranking in Large Language Models (LLMs)
2nd
Average Rating
8.6
Reviews Sentiment
5.3
Number of Reviews
15
Ranking in other categories
AI Writing Tools (2nd), AI Proofreading Tools (2nd)
 

Mindshare comparison

As of February 2026, in the Large Language Models (LLMs) category, the mindshare of Blackbox.ai is 16.7%. The mindshare of ChatGPT Team - Enterprise is 9.2%, up from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Large Language Models (LLMs) Market Share Distribution
ProductMarket Share (%)
ChatGPT Team - Enterprise9.2%
Blackbox.ai16.7%
Other74.1%
Large Language Models (LLMs)
 

Featured Reviews

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Vyas Shubham - PeerSpot reviewer
Product Analyst at a consultancy with 51-200 employees
Centralized knowledge has transformed collaboration and now streamlines documentation work
ChatGPT Team - Enterprise is already a very strong AI tool, but some improvements could enhance it further. Currently, context depends on what is provided, the prompts, and what is in memory. An improvement could be the automatic suggestion of relevant files or context based on queries. Cross-document semantic linking could be beneficial. Better handling of evolving knowledge would be useful, such as showing what changes have been made since last month. Additionally, teams want finer permissions such as read-only memory groups and scoped templates by role, departments, and temporary access tokens for contractors. I feel that more granular access controls are needed. Beyond APIs, teams now want no-code automations, including the ability to trigger summary generation after meetings, classification of support tickets, and scheduling of reports. Another improvement that comes to mind is the implementation of an in-app learning and training program. Built-in tutorials could help the team discover more advanced features and learn how to provide better prompts. The platform should provide best practices that show users what they need to do to get the best results. An in-app learning or training program would be valuable.
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Top Industries

By visitors reading reviews
Comms Service Provider
22%
University
10%
Computer Software Company
9%
Financial Services Firm
9%
Computer Software Company
11%
Comms Service Provider
11%
Manufacturing Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise6
 

Questions from the Community

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What needs improvement with ChatGPT?
ChatGPT Team - Enterprise is currently working well, and I do not see any need for improvements because it handles every project I run without complexity or delay. Everything on ChatGPT Team - Ente...
What is your primary use case for ChatGPT?
My main use case for ChatGPT Team - Enterprise is developing and coding, and for team collaboration, we have been using it for content marketing as well as coding. A specific example of how I use C...
What advice do you have for others considering ChatGPT?
I rate ChatGPT Team - Enterprise a ten out of ten because it is stable, flexible, and fully customizable. It also demonstrates the best functionality and performance so far. I advise others looking...
 

Also Known As

No data available
Rockset
 

Overview

Information not available
 

Sample Customers

Information Not Available
1. Adobe 2. Cisco 3. Comcast 4. DoorDash 5. Expedia 6. Facebook 7. GitHub 8. IBM 9. Lyft 10. Microsoft 11. Netflix 12. Oracle 13. Pinterest 14. Reddit 15. Salesforce 16. Slack 17. Spotify 18. Square 19. Target 20. Twitter 21. Uber 22. Verizon 23. Visa 24. Walmart 25. Yelp 26. Zoom 27. Airbnb 28. Dropbox 29. eBay 30. Google 31. LinkedIn 32. Amazon
Find out what your peers are saying about Google, OpenAI, Blackbox and others in Large Language Models (LLMs). Updated: January 2026.
881,665 professionals have used our research since 2012.