WorkLLM

Vs

Perplexity Enterprise

Perplexity Enterprise is an AI platform designed for fast, source-backed search and research, with a strong emphasis on citations and accuracy. WorkLLM is an enterprise AI workspace built for teams — where shared context, collaboration, and AI come together to support real work, not just conversations.

This page helps you decide which one fits your team best.

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What each product is best at

Start here if you just want the essence before the big table.

Perplexity

Perplexity Enterprise

AI-powered search and research with citations. Well suited for finding answers quickly, validating information, and exploring topics with transparency and sources.

WorkLLM

A multi-LLM AI workspace built for teams — with shared context, collaboration, role-based AI Assistants, AI Tools, and context-aware AI Agents that help teams move work from idea to execution.

The difference?

Perplexity Enterprise is optimized for finding and validating information. WorkLLM is optimized for turning information into coordinated work and outcomes.

Full Comparison

Primary purpose AI-powered search and research with citations Shared AI workspace designed around real enterprise workflows
Multi-LLM support Uses selected models behind a unified search experience 300+ AI models optimized by task type, strength, and cost
Context & memory Context persists within folders/collections for ongoing research Persistent, shared context across conversations, tools, and team activity
Collaboration Shared research folders and threads for team-based discovery Full workspace collaboration with shared chats, comments on AI responses, and group conversations
AI Assistants Research assistant experience centered around search and knowledge retrieval Dedicated RAG-powered AI Assistants trained on company or team knowledge (i.e. HR Assistant, Sales Assistant, etc.)
AI Tools No structured, reusable task tools; interactions are query-driven Pre-built and customizable AI Tools that generate consistent, professional outputs with built-in context (i.e. Blog Writer, Social Post Generator, etc.)
AI Agents Agentic capabilities focused on research and browser-based actions (e.g., via Comet) Context-aware AI Agents that monitor events, make decisions, and take action across connected tools. (i.e. Weekly Summary report, Auto Lead follow up, etc.)
Integrations & app capabilities Internal Knowledge Search and browser-oriented interactions Deep, workflow-oriented integrations designed for cross-tool execution
Prompt builder & library Saved prompts and reusable queries within research workflows Central Prompt Builder with a shared Prompt Library
Reporting & analytics Usage and research activity visibility Detailed reports on usage, adoption, and activity by team and user
Tenant model Enterprise workspace with logical tenant isolation on shared infrastructure Separate tenant per organization
Security & controls Enterprise-grade security and privacy controls with organizational isolation Enterprise-ready security with workspace isolation and governance
Pricing Enterprise pricing (varies by plan) $20/user/month (Basic) and $30/user/month (Pro); 10% discount on annual plans

Disclaimer: Information about Perplexity Enterprise is based on publicly available documentation and product information as of January 2026. Features, pricing, and capabilities may change over time.

When To Choose Which

Choose Perplexity Enterprise if...

Your primary need is fast, accurate research and knowledge discovery
Teams rely heavily on search, synthesis, and citations
AI usage is mostly exploratory or analytical
You want robust internal + external content search

Choose WorkLLM if...

Your work goes beyond research into planning, execution, and follow-through
You use multiple AI models, not just Perplexity
Your teams need to work together on AI outputs
You want AI to help finish work, not just generate drafts — through AI Assistants, AI Tools, and AI Agents

Happy Customers

Customer satisfaction is our major goal. See what our customers are saying about us.

See how WorkLLM compares in practice

We’ll walk you through real workflows and enterprise use cases.