How Top Marketers Are Winning with A/B Testing in 2025

✨ Team-GPT is now Free!

Team-GPT vs. Perplexity Enterprise Pro For Marketing

13 min read
13 min read
team-gpt vs perplexity enterprise pro
Table of Contents

If you’re like me and have tested both Team-GPT and Perplexity Enterprise Pro for marketing tasks, you’ll know they approach things very differently. Perplexity helps you find accurate answers fast, but it’s not built for team workflows. Team-GPT, on the other hand, focuses on shared workspaces and AI-assisted collaboration.

In this comparison, I’ll break down how each tool performs across five key areas: content quality, collaboration features, prompt handling, ease of use, and pricing. The goal isn’t to pick a “winner,” but to help you figure out which one fits better with how your team actually works.

TL;DR

  • Team-GPT is better suited for marketing teams that need collaborative prompt workflows, shared libraries, and multi-model support for creative tasks.
  • Perplexity Enterprise Pro works well for research-heavy teams needing fast, citation-backed responses, but lacks depth in creative collaboration features.

Team-GPT and Perplexity Enterprise Pro: Similarities

From what I’ve seen, Team-GPT and Perplexity Enterprise Pro share several useful features, especially for teams that need AI for research, content creation, and internal collaboration. While they’re built differently, there’s a fair bit of overlap in how they support marketing and business teams.

  • Shared Workspaces for Teams: Both platforms let teams work together in a dedicated space. You can create shared projects, exchange ideas, and organize everything by folders or tags, so nothing gets lost across messages or email threads.
  • AI-Powered Search and Content Summaries: Whether you’re uploading PDFs, product docs, or strategy notes, both tools can help you search through that content, summarize it, and answer questions. This makes it easier to find what you need quickly, even if the file is long or technical.
  • Access to Multiple AI Models: You’re not locked into just one AI model. Both tools let you switch between popular large language models like ChatGPT-4 (from OpenAI) and Claude (from Anthropic), depending on what you’re working on.
  • File Upload and Analysis: You can upload files like PDFs, spreadsheets, and presentations. The AI can read and respond to your questions about the content inside those documents, saving a lot of manual reading time.
  • Shared Prompts and Templates: Both tools support prompt libraries and reusable templates. If your team works on similar tasks often, like ad copy, product research, or strategy decks, these shared resources can help keep things consistent.
  • Security for Team and Enterprise Use: Both platforms are built for workplace use. They support features like user roles, file privacy settings, and encryption. Some also meet compliance requirements like SOC 2 (a standard for managing customer data safely).
  • Web Search and Real-Time Answers: You can pull in real-time results from the Internet. This is helpful when you need up-to-date info for competitive research, news tracking, or technical questions.
  • Admin Controls and Team Reporting: Both tools come with admin dashboards where you can manage user access and view usage stats. Team-GPT offers slightly more detailed controls and activity tracking, especially for larger teams.

Features – Team-GPT vs Perplexity Enterprise Pro

When choosing between Team-GPT and Perplexity Enterprise Pro, it comes down to whether your team needs a research assistant or a collaborative AI workspace. 

While Perplexity is designed to help users surface relevant information through web-cited answers and a fast search interface, Team-GPT is built for real-time collaboration, custom prompt workflows, and project-wide AI knowledge sharing.

TL;DR:

  • Team-GPT is built for structured team collaboration with shared workspaces, multi-model access, and custom AI workflows to manage writing, research, and brainstorming in one place.
  • Perplexity Enterprise Pro is ideal for rapid fact-finding and trusted citations, but lacks multi-user collaboration features, project knowledge organization, and custom workflows.
FeatureTeam-GPTPerplexity Enterprise Pro
Target UsersMarketing teams/agenciesResearch, marketing, and enterprise teams
Multi-Model SupportChatGPT-4o, Claude, Gemini, Llama, etc. (+API keys)Limited to in-house engine, select APIs
Real-Time CollaborationShared docs, real-time edit, paragraph-level co-creationShared Spaces, file upload, basic chat
Content Generation (Marketing)Campaign builder, branded templates, SEO/adsGeneral content generation, less campaign focus
Structured Prompt WorkflowsYes, with reusable templatesNo dedicated workflow builder
Usage AnalyticsDetailed, by user/team/projectNot specific to marketing usage
Brand Voice CustomizationCustom instructions, brand context savedNot marketing-specific
Knowledge SharingProject Knowledge for context sharingDual-source (internal+web) search
Reporting/DashboardsAdvanced, built for marketing reviewGeneral research export
Security & ComplianceSOC2, SSO, on-prem/cloud optionsSOC2, SSO, RBAC
Pricing$25/user/mo (annual, 5+ seats, $20)$40/user/mo

Now let’s walk through these tools’ features in more detail 👇

Team-GPT Features

Team-GPT lets you work together in real-time, use multiple AI models via API, create reusable templates, and keep your brand voice consistent across projects. With features like prompt chaining, shared libraries, and usage analytics, it’s especially useful for marketing and content teams managing high output.

Feature #1: Structured content workflows

Team-GPT supports structured content workflows that go beyond basic AI chats. You can create reusable prompt templates, chain prompts to simulate step-by-step thinking, and even build out full campaign frameworks within the tool.

For marketing teams juggling campaign briefs, landing pages, emails, and ad copies across multiple products, this structure matters. Instead of improvising every time, you can build and reuse prompts for:

  • Website copy generation.
  • Ad variations.
  • Product descriptions.
  • Campaign briefs.
  • Content repurposing across formats.

You also get prompt versioning and project-level control, making it easier to refine outputs over time.

Feature #2: Collaborative editing

Unlike tools that treat AI chats as a solo activity, Team-GPT lets your whole team collaborate in real-time, on both content and prompt building. 

You can co-edit documents, comment on specific sections, attach files, and even run AI prompts together.

This is especially useful for marketing teams that juggle multiple deliverables simultaneously. 

Whether you’re building landing pages, campaign scripts, or social posts, you don’t have to pass things back and forth; everyone can work together inside the same interface, with full visibility.

Feature #3: Usage Analytics

Team-GPT includes a built-in analytics dashboard that gives managers and team leads real insight into how their team is using AI. You can track things like:

  • How many messages or prompts does each person use?
  • Which templates or campaigns get used the most?
  • Team-wide token usage (a measure of how much AI output is being generated).
  • Adoption patterns across different users or roles.

This helps identify training gaps, double down on what’s working, and avoid wasteful usage. It’s especially useful when you’re trying to justify ROI from AI tools to senior leadership.

Team-GPT's usage analytics generated a real-time report

Feature #4: Full model flexibility

You’re not locked into ChatGPT-4. With Team-GPT, you can bring in multiple models, including Claude, Gemini, Llama, and others, using your own API keys. This is valuable for marketing teams that want to compare output, test tone differences across models, or use models that specialize in specific tasks.

For example, you might find one model better for long-form blog content and another for ad copywriting. Having access to several options in the same space gives you more control over content quality and consistency.

Feature #5: Brand knowledge management

Keeping your brand voice consistent across multiple team members and projects is hard, especially when using AI. Team-GPT makes this easier by letting you:

  • Save brand guidelines directly into projects.
  • Add user-level instructions (so everyone gets relevant prompt behavior).
  • Use branded templates that apply a consistent tone, format, and style.
  • Create shared knowledge libraries that can be used across projects.

This helps avoid the problem of AI generating off-brand or repetitive content, and gives your team a central place to reference brand materials during content generation.

Team-GPT is the right choice if you:

✅ Run marketing campaigns that require collaboration across content, design, and strategy teams,

✅ Need structured workflows for prompt reuse and campaign-specific content generation.

✅ Want to compare multiple AI models to get the best output for different formats.

✅ Are looking to standardize brand voice and maintain consistency across high-volume content production.

✅ Manage a large or distributed team and want clear visibility into usage and performance.

Team-GPT isn’t the best option if you:

❌ Only need a basic AI chat tool without collaboration, templates, or analytics.

❌ Don’t require multi-model support or advanced prompt workflows.

❌ Prefer a desktop or mobile app—Team-GPT is currently only available through the browser.

❌ Need deep external tool integrations like Zapier or Slack (these are still limited).

Perplexity Enterprise Pro Features

Perplexity Enterprise Pro is designed for teams that need trusted answers, faster research, and reliable collaboration. It acts more like a real-time research assistant that pulls from both internal documents and live web data, with citations built in. 

The platform works especially well for research-heavy functions, helping cut hours of manual work into minutes of structured, sourced insight.

Feature #1: Research-first engine

Perplexity Enterprise Pro uses conversational AI to refine your questions, employing Retrieval‑Augmented Generation (RAG) technology. 

It pulls data from your internal documents and the live web, then generates concise, citation-based answers.

This approach transforms research workflows into single, interactive conversations, which cuts hours of manual search and validation into minutes with verified results and automated follow-up questions.

Feature #2: Spaces and access controls

Marketing teams can create dedicated “Spaces” where team members collaborate over chat sessions, document uploads, and AI threads. 

Role-based access control (RBAC) lets administrators assign permissions, and integration with identity services like SAML SSO ensures secure access.

This setup maintains confidentiality while allowing cross-functional collaboration on market research, campaign planning, or content briefs.

Feature #3: Rapid synthesis from web/internal docs

Teams can upload files like PDFs, spreadsheets, and slide decks, and search them in parallel with live internet sources. 

The AI then synthesizes insights from both into a unified answer, saving users from toggling between tools. Perfect for marketing teams combining internal metrics with market trends,

Feature #4: Security & Compliance

Perplexity ensures your data safety with encryption in transit and at rest, authenticated access workflows, and alerting for suspicious activity. 

The platform supports Bug Bounty programs for proactive security and adheres to strict standards like SOC2 Type II and EU‑US data protection frameworks. It never trains its models on your enterprise data.

Perplexity Enterprise Pro is the right choice if you:

✅ Need a fast, reliable tool for in-depth research and synthesis.

✅ Want citation-backed answers using both internal and web-based sources.

✅ Work in a team that values real-time collaboration and role-based access.

✅ Prioritize strong data privacy, encryption, and enterprise security standards.

Perplexity Enterprise Pro isn’t the best option if you:

❌ Want to control your AI infrastructure or deploy the tool on-premises fully.

❌ Need to bring your own custom models or deeply train the platform on proprietary logic.

❌ Are looking primarily for creative writing or design-heavy generation.

Winner: Team-GPT wins on overall feature depth, especially for marketing teams. It supports multiple LLMs (ChatGPT-4o, Claude, Gemini, etc.), workspace-level prompt builders, structured workflows, and usage analytics, all from one interface. 

It’s also customizable for use cases like content generation, campaign planning, or customer segmentation.

Team Collaboration Capabilities- Team-GPT vs Perplexity Enterprise Pro

Both tools offer collaborative workspaces and AI features for teams, but they differ significantly in depth and workflow focus, especially for marketing teams that rely on prompt-based creative work. 

This comparison highlights what’s most relevant for campaign planning, copywriting, and content coordination.

TL;DR:

  • Team‑GPT delivers real‑time prompt co‑creation, detailed role-based permissions, multi-model AI flexibility, shared libraries, and full adoption tracking, making it ideal for creative and marketing collaboration.
  • Perplexity Enterprise Pro supports shared “Answer Spaces,” secure file uploads, and citation-backed research, but it lacks deep creative workflows and prompt step‑management suited for campaign teams.

Team-GPT’s Collaboration Features

Team‑GPT is built to support marketing teams working collaboratively on AI-driven campaigns, from content creation to revisions:

  • Real-time Co-Authoring: Multiple team members can edit prompts, responses, and marketing content in live sessions. Edits happen instantly, with paragraph-level collaboration and inline comments.
  • Shared Prompt Libraries and Workflow Structure: Create and share prompt templates by campaign type (e.g., ad copy, email workflows, blog outlines), stored in folders and subfolders for team-wide reuse.
  • Multi-model Workspace: Teams can switch between GPT‑4o, Claude, Gemini, LLaMa, or other models directly in the same workspace, enabling A/B testing or tone experiments.
  • Persistent Shared Chats and Threads: Chats are organized per project, everyone in the team can access past conversations and AI interactions, keeping campaign history centralized.
  • Role-Based Access & Analytics: Set granular permissions per role or project, track prompt usage and AI adoption per user, and view which templates or models deliver the best results.
  • Brand Voice and Custom Instructions: Apply default voice guidelines at the project or campaign level to make outputs consistent across writers and campaigns.

Team-GPT is the right choice if you:

✅ Run marketing campaigns that require team collaboration on messaging, drafts, and approvals.

✅ Want reusable prompt frameworks and AI workflows.

✅ Need comparisons across multiple AI models.

✅ Prioritize brand consistency across multiple content formats

✅ Value detailed adoption reporting and prompt performance insights.

Team-GPT isn’t the best option if you:

❌ Do research-only workflows or single-user AI exploration.

❌ Require aggressive document-level citation and synthesis, not campaign or creative workflows.

Perplexity Enterprise Pro’s Collaboration Features

Perplexity Enterprise Pro is centred on knowledge sharing and research workflows, and not creative prompt collaboration:

  • Shared “Answer Spaces” for Teams: Create Spaces where conversations, files, and research prompts exist together. Ideal for organizing market insights or competitive intelligence.
  • File Uploads and Collaborative Research: Teams can upload PDFs, slide decks, and documents to query and analyze, helping marketing research align earlier in the process.
  • Custom Space-Level Instructions: Define how the AI should respond within each Space, useful for matching tone or formality to internal project standards.
  • Basic Chat within Spaces: Teams can question the AI and review answers together, but without persistent shared chat threads or workshop-style editing.
  • Enterprise Access & Security Controls: SOC2 compliance, Single Sign-On (SSO), and RBAC for secure collaboration on internal research across departments.

Perplexity Enterprise Pro is the right choice if you:

✅ Prioritize research and referencing internal/external data in marketing strategy.

✅ Need secure collaboration on team knowledge or market analysis.

✅ Want quick synthesis of internal docs and live web data.

✅ Prefer structured, research-grade AI output over creative prompt-engine workflows.

Perplexity Enterprise Pro isn’t the best option if you:

❌ Require shared prompt libraries and campaign-based AI workflows.

❌ Collaborate on content creation or copywriting with prompts and versioning.

❌ Need performance analytics on prompt usage or model selection.

Winner: Team-GPT clearly takes the lead when it comes to collaboration. It’s built around shared workspaces, real-time co-editing, forked chat threads, and prompt libraries that multiple users can contribute to and reuse. Admins can assign roles, monitor usage, and create structured AI workflows across teams.

Pricing – Team-GPT vs Perplexity Enterprise Pro

Both platforms offer enterprise-ready AI collaboration, but pricing and included features differ significantly. Below is a clear side-by-side overview to help you determine which aligns best with your team’s needs and budget.

TL;DR:

  • Team‑GPT starts at $25 per user per month, offering multi‑model AI access, reusable prompt libraries, campaign collaboration tools, brand instructions, and usage analytics.
  • Perplexity Enterprise Pro starts at $40 per user per month, focused on citation-based research, file analysis, secure team Spaces, and enterprise-grade compliance.

Team-GPT Pricing

Team‑GPT offers tiered plans to scale with your marketing team:

  • Business Plan ($25/user/month, annually billed): Includes access to multiple AI providers (OpenAI, Anthropic, etc.), shared marketing workflows, prompt libraries, brand customization, usage dashboards, and collaboration features.
  • Growth Plan ($35/user/month, annually billed): Adds unlimited usage across models, advanced adoption tracking, integrations (e.g., CRM or CMS), bring-your-own API keys, and personalized onboarding.
  • Enterprise Plan (Custom pricing): Includes private cloud or on-premise deployment, support for custom AI models, unlimited workspaces, premium account management, and enterprise-level security (SOC 2, SSO, etc.).

Perplexity Enterprise Pro Pricing

Perplexity Enterprise Pro starts at $40 per user per month and is designed for teams focused on research and knowledge delivery. Includes citation-backed synthetic responses, real-time web and internal document integration, shared Spaces for file collaboration, and enterprise-grade security and compliance.

Winner: Team‑GPT delivers better value for collaboration-heavy, marketing‑focused workflows. Starting at $25/user/month, it includes support for multiple AI models, campaign templates, analytics, and structured content workflows in one platform.

What are Customers Saying about Team-GPT vs Perplexity Enterprise Pro?

We checked review platforms like G2 and Reddit to understand how actual users experience these collaboration-focused AI tools. Both support teams, but the user experience, especially for marketing workflows, differs significantly.

TL;DR

  • Team‑GPT excels in campaign collaboration, shared prompt libraries, multi-model flexibility, permissions control, and usage reporting, designed for teams that deeply integrate AI into creative workflows.
  • Perplexity Enterprise Pro shines in research-driven markets, combining internal and external data analytics, citation-backed responses, and secure shared workspaces, but it lacks deep prompt-based collaboration tools.

Team-GPT Reviews

What users love:

  • Marketing teams consistently praise the ability to co-edit prompts and content in real-time, with shared folders and organized project views.
  • Many highlight the prompt libraries, shared brand instructions, and reusability features that cut down repetitive tasks across content campaigns.
  • Admins find role-based access controls and usage analytics helpful for managing AI adoption and ensuring consistency across the team.

“It makes it possible for me and my team to collaborate on our messaging and copywriting projects for clients. Gives us a central place with project knowledge that’s shared with everyone so we can maintain consistency and avoid having to always figure out what to write from.” – G2 Review.

Common complaints:

  • Some users note a learning curve to leverage prompt chaining, multi-model workflows, or advanced features.
  • Limited integrations with external tools like Zapier or Notion are frequently mentioned.
  • Occasional gaps in feature parity with the latest GPT updates or image generation tools are noted.

“The prompts system needs to be improved, it works but it’s basic. It also needs more advanced capabilities (however they are out of the main scope of the tool). Needs more integration with external tools and external APIs (like Zapier).” – G2 Review.

Perplexity Enterprise Pro Reviews

What users love:

  • Many reviewers highlight its speed and accuracy for delivering answers, backed by sources from both internal materials and live web data.
  • Teams value the citation-based outputs for briefs, presentations, and internal analysis, especially in regulated industries.
  • Shared Spaces with document uploads and team Q&A workflows receive praise for structured collaboration on research tasks.

“Perplexity pro deep research is pretty solid. Also the way it consolidates reports so neatly.” – X

Common complaints:

  • Users report trouble with maintaining context across follow-up prompts, especially over longer threads.
  • The platform lacks creative collaboration tools such as shared prompt libraries or project-based chat threads.
  • Some mention the interface feels complex compared to other platforms like ChatGPT.

“Also, the UI of the Perplexity app is not that much good compared to Chat Gpt ☺️” – X

Winner: Team-GPT offers a more flexible and transparent pricing model for businesses. You can bring your own API keys to control costs, or opt for a flat per-seat plan depending on team size and model usage.

Final Verdict: Team-GPT or Perplexity Enterprise Pro?

The better choice depends on how your team uses AI—whether you’re focused on research accuracy or marketing execution, and how much flexibility you need in terms of AI models and workflow control.

  • Choose Team-GPT if your team relies on AI for campaign planning, prompt collaboration, or structured content workflows. It supports top-tier models like ChatGPT-4o, Claude, Gemini, and Perplexity, all in one workspace. You also get custom prompts, usage tracking, and the ability to bring your own API keys, making it ideal for teams that want flexibility, model variety, and visibility into how AI is being used across projects.
  • Go with Perplexity Enterprise Pro if research and verified information are core to your workflow. Its strengths lie in real-time web synthesis, internal document search, and citation-based answers. With secure Spaces and enterprise-level compliance, it’s a better fit for teams that prioritize sourcing accuracy over creative collaboration or prompt iteration.

If your team’s priorities include campaign speed, collaboration, and adapting to different AI tools as needed, Team-GPT offers more flexibility at a better value. For teams deeply tied to research or knowledge validation workflows, Perplexity Enterprise Pro may justify the higher price tag.

Wrapping Up

Both Team-GPT and Perplexity Enterprise Pro serve different needs, but overlap when it comes to secure team access and productivity.

If your team needs a research-focused AI tool that delivers accurate, real-time, citation-backed answers from the web or internal sources, Perplexity Enterprise Pro is a strong contender. It’s especially useful for knowledge teams, analysts, and documentation-heavy use cases.

On the other hand, Team-GPT is built for teams that want to do more with AI than just search. Whether you’re brainstorming content, building prompts, or managing workflows across teams, it offers the structure, model choice, and collaboration tools to support everyday AI usage across marketing, product, and customer teams.

You also get the flexibility to customize your toolkit, manage usage at scale, and onboard new team members quickly with shared prompts, Fork Chats, and saved histories.

In short, choose Perplexity if information accuracy and enterprise research are core. Similarly, choose Team-GPT if you need daily-use collaboration, model flexibility, and more hands-on control over your AI environment.

Next Steps For Enterprises Looking To Adopt AI

Adopting AI across your organization requires more than just access to tools—it requires the right structure, training, and visibility. Team-GPT is designed for enterprise-wide AI adoption, giving you a collaborative platform where your teams can engage with multiple AI models, share knowledge, and streamline everyday work.

Our built-in admin dashboard gives you full visibility into usage across departments, helping you track adoption, spot opportunities for optimization, and build internal best practices. With shared prompts, collaborative chats, and the flexibility to assign API keys or manage usage at scale, your organization can implement AI workflows that actually stick.

For example, The Crew, a full-service marketing agency with 70+ employees, used Team-GPT to build an AI-first setup—achieving 90% adoption across the company. They implemented a “zero-prompting” strategy, where recurring tasks are handled by pre-configured AI agents that need little to no manual prompting. This resulted in workflows that run 2x faster, 10–60% time savings, and consistent output quality across content, support, and campaign ops.

Book a demo with to see how our AI tool can integrate with your content ops, marketing, or internal processes.

Read more

  • Team-GPT vs. ChatGPT for Teams: Understand how Team-GPT’s shared workspaces, multi-model support, and project-level permissions go beyond ChatGPT’s simple shared billing setup.
  • Microsoft 365 Copilot vs. Team-GPT: Explore how Copilot fits productivity within Microsoft apps, while Team-GPT is better suited for end-to-end collaboration, especially for writing, knowledge-sharing, and prompt workflows.
  • Team-GPT vs. Copy.ai: See why Team-GPT is a better fit for collaborative content creation and prompt management, compared to Copy.ai’s more narrow focus on automated marketing copy.
  • Copilot vs. ChatGPT vs. Team-GPT: We’ll look at how each platform supports different work styles—solo, tool-assisted, or fully team-based—and what that means for your use case.
  • Perplexity vs. ChatGPT vs. Team-GPT While Perplexity is strong on factual research and ChatGPT on conversations, Team-GPT stands out for teams needing version control, shared prompts, and project context.
  • DeepSeek vs. ChatGPT vs. Team-GPT: Learn how DeepSeek’s language strengths and ChatGPT’s general AI skills compare to Team-GPT’s focus on real-time collaboration and flexible AI model access.
Iliya Valchanov
CEO at  | Website

Iliya teaches 1.4M students on the topics of AI, data science, and machine learning. He is a serial entrepreneur, who has co-founded Team-GPT, 3veta, and 365 Data Science. Iliya’s latest project, Team-GPT is helping companies like Maersk, EY, Charles Schwab, Johns Hopkins University, Yale University, Columbia University adopt AI in the most private and secure way.