Perplexity
How the 9 leading AI models rank Perplexity in AI agents.
How each AI ranks it
average position · verbatim answers kept
Perplexityread the answer3rd
If you want the best AI agents people actually use, the safest picks are ChatGPT Agent, Claude Code, Perplexity, Cursor, and Lindy—because they show up repeatedly across 2026 “best of” roundups for real-world use cases like general tasks, coding, research, and business automation.
The most practical way to choose is by job, not by “one best agent,” because the strongest products differ a lot by category.
| Use case | Best pick | Why it stands out |
|---|---|---|
| General everyday work | ChatGPT Agent | Broad, general-purpose automation for knowledge-work tasks. |
| Coding / software engineering | Claude Code | Repeatedly ranked top for technical work and real codebases. |
| Research / cited answers | Perplexity | Strong for research workflows and cited information. |
| Developer IDE agent | Cursor | Frequently listed as a front-runner for coding agents. |
| Business automation / no-code | Lindy | Commonly recommended for email, scheduling, CRM, and ops automation. |
| Open-ended autonomous work | Manus | Often described as a strong general-purpose autonomous agent. |
| Enterprise customer service | Intercom Fin | Repeatedly ranked highly for customer support use cases. |
If you want the shortest recommendation list for most people, I’d use this:
- ChatGPT Agent for the broadest everyday use.
- Claude Code if you code or want the strongest technical agent.
- Perplexity if you care most about research and citations.
- Cursor if you want an AI agent inside your coding workflow.
- Lindy if you want a no-code agent for business tasks.
A few important notes:
- There is no single best AI agent overall across all categories; several sources explicitly say the winner depends on the use case.
- For enterprise teams, tools like ChatGPT Enterprise, Claude Enterprise, Salesforce Agentforce, and Intercom Fin appear as the more common “serious business” choices.
- For developers, the most consistently cited brands are Claude Code, Cursor, GitHub Copilot, Codex, and Windsurf.
If you want, I can narrow this to:
- best free AI agents
- best AI agents for business
- best AI agents for coding
- best AI agents for non-technical users
DeepSeekread the answer12th
Instead of a single “best” AI agent, the right pick depends on what you want it to do. Here are the top AI agents and platforms people actually use right now, broken down by category.
🧠 General-Purpose AI Agents (Chat + Task Execution)
These are the most widely used AI assistants, and they now act as “agents” by using tools, browsing, and completing tasks.
| Product | Why people use it |
|---|---|
| ChatGPT (OpenAI) | The most popular AI assistant. The GPTs feature and Operator (research/action agent) let it browse, book, and automate tasks. Best overall for everyday use. |
| Claude (Anthropic) | Excellent writing, coding, and reasoning. Claude with computer use can literally control your computer (click, type, navigate) via API. Loved by developers and writers. |
| Gemini (Google) | Deeply integrated with Google Workspace (Gmail, Docs, Drive). The Android/iPhone assistant mode is very agentic. Great for Google users. |
| Microsoft Copilot | The AI agent inside Windows, Office, and Teams. Best for enterprise and productivity tasks—summarizing meetings, writing emails, automating workflows. |
💻 Coding Agents (AI that writes and fixes code)
| Product | Why people use it |
|---|---|
| GitHub Copilot Workspace | The most widely used AI coding agent inside VS Code. It doesn’t just autocomplete—it can propose changes, run tests, and push PRs. |
| Claude Code / Codex (OpenAI) | Terminal-based agents that can read repos, debug, and implement full features. Claude Code is especially praised for complex refactoring. |
| Cursor | AI-powered code editor that acts like an agent—it searches your codebase and applies multi-file edits. Extremely popular with indie developers. |
| Devin (Cognition) | Fully autonomous “AI software engineer.” It can get a complete ticket, write the code, and even deploy. Expensive, mostly used by startups and enterprises. |
🔗 Agentic Workflow / Automation Platforms
These are true “agents” that connect multiple tools and execute multi-step actions.
| Product | Why people use it |
|---|---|
| Zapier Agents | Lets you build AI agents that trigger on email, Slack, CRM, etc. No-code. Very popular for small business automation. |
| Make (Integromat) | Visual platform for building agent-like automations across 2,000+ apps. More flexible than Zapier for advanced logic. |
| n8n (Self-hosted / Cloud) | Open-source, dev-friendly workflow automation with AI agent nodes. The favorite choice for technical teams. |
| LangChain / LangGraph | The standard framework for building custom AI agents. Not a consumer product, but it powers many “agent” apps. |
| CrewAI | Python framework for building “crews” of multiple AI agents that collaborate on tasks. Popular with devs. |
🔍 Research & Deep-Web Agents
| Product | Why people use it |
|---|---|
| Perplexity | Basically an AI search agent—it researches, cites sources, and answers complex questions. People rely on it as a primary research tool. |
| Google Deep Research (Gemini) | Creates multi-step research reports automatically. Very impressive for long, structured deep dives. |
| Consensus | AI agent specialized for scientific research. Finds and summarizes actual peer-reviewed papers. |
🏢 Enterprise AI Agents (For Companies)
| Product | Why people use it |
|---|---|
| Salesforce Agentforce | Enterprise agents that handle sales, support, and marketing. Used by major companies for customer service automation. |
| Microsoft Copilot Studio | Build custom agents inside Microsoft 365 and Teams. Very popular in corporate environments. |
| Sierra (before Salesforce acquisition) | Customer-service AI agents for brands with high volume. Known for being unusually good at natural conversation. |
| Glean | Enterprise search + agent platform that finds internal information and automates workflows across company apps. |
✅ The Current “Best” Picks (Quick Summary)
| If you want… | Use this |
|---|---|
| A personal AI assistant | ChatGPT or Claude |
| Living inside Google/Android | Gemini |
| Writing code faster | Cursor or Claude Code |
| Automating business workflows | Zapier Agents or n8n |
| Deep research with citations | Perplexity |
| Enterprise customer-service agents | Salesforce Agentforce or Sierra |
Bottom line: ChatGPT and Claude are the best all-around “agents” for most people right now. If you want autonomous task execution, look at Zapier Agents (no-code) or Claude with computer use (highly technical). The field changes monthly, so the real best move is to pick one category and try the leader in that niche.
Grokread the answer19th
There is no single "best" AI agent in 2026—it depends on the use case (general tasks, coding, research, enterprise workflows, or custom building). The most-used options combine strong model backends (like GPT or Claude), tool use/browser control, memory/persistence, and real-world reliability.
Here are the top brands/products people actually use, based on adoption mentions, GitHub traction, user reports, and reviews across sources:
Top General-Purpose / Consumer Agents
- ChatGPT Agent (OpenAI): Often ranked #1 for everyday tasks like research, synthesis, file workflows, content creation, and multi-step automation. It has the broadest user base due to its integration with ChatGPT (Plus/Pro tiers). Strong for non-technical users who want a capable "doer" agent.
- Claude (Anthropic) — especially Claude Code/Cowork/Computer Use: Excels at reasoning, coding, long-context work, and desktop/browser actions. Popular among knowledge workers and developers for its depth and reliability. Starts at ~$20/month.
- Manus AI: Frequently praised for hands-off autonomous tasks, deep research with citations, and general-purpose execution. Good for individuals wanting a managed cloud agent (pricing from ~$20/month or credits).
Top Open-Source / Self-Hosted Options
- OpenClaw: Massive breakout with 347K+ GitHub stars (one of the highest ever). Self-hosted personal automation agent supporting 24+ messaging platforms and thousands of skills. Ideal for local control and broad reach, though users note security caveats.
- Hermes Agent (Nous Research): Strong for agents that learn, remember across sessions, and improve over time. Cleaner security profile in some reports; self-hostable.
Top Frameworks for Building Custom Agents
- LangGraph (LangChain ecosystem): Leading choice for production-grade, stateful, controllable agents with persistence, human-in-the-loop, and complex workflows. Battle-tested at scale.
- CrewAI: Popular for quick role-based multi-agent "crews" (e.g., researcher + writer teams). Easy mental model, high GitHub stars (~50K+), and widely used for prototypes and production.
- Others worth noting: OpenAI Agents SDK (lightweight, model-flexible) and Google ADK for ecosystem-specific builds.
Specialized / Enterprise Standouts
- Coding-focused: Cursor (IDE agent), Devin (autonomous software engineering), GitHub Copilot (issue-to-PR workflows). Claude Code and OpenHands also rank highly.
- Customer Service: Sierra and Decagon (enterprise-scale), Intercom Fin (per-resolution pricing).
- Sales/Operations: 11x (AI SDRs), Lindy (personal/team automation like email/inbox).
- Enterprise Platforms: Microsoft Copilot (deep Microsoft 365 integration), Salesforce Agentforce (CRM-native).
Quick Recommendations by Need
- Everyday personal use — Start with ChatGPT Agent or Claude.
- Hands-off research/autonomy — Manus or Perplexity.
- Coding/developer work — Claude Code, Cursor, or Devin.
- Build your own (no/low-code) — CrewAI, LangGraph, or n8n/Zapier Agents.
- Self-hosted/privacy-focused — OpenClaw or Hermes Agent.
- Enterprise/scale — Microsoft/Salesforce stacks or specialized tools like Sierra.
Notes: Adoption is highest for OpenAI and Anthropic products due to ease of access and ecosystem. Open-source options like OpenClaw have surged in popularity for customization. Many "best of" lists are vendor-influenced, so cross-reference real user feedback and test with your workflows. Pricing often starts at $20/month for paid tiers, with usage-based or credit models common. Security, reliability, and human oversight remain important caveats for autonomous agents.
For the latest, check GitHub stars, recent benchmarks, or try free tiers directly.
How this is measured
Perplexity’s AI Recommendation Score (24/100) reflects how widely and often the 9 AI models recommend it for AI agents: share of voice, mention rate and how early the AI models name it. Cited sources are published as receipts, never as a score input. Every monthly refresh asks each AI model the same buyer question once, and the exact run count behind every edition is published in its JSON record. Placement is determined solely by AI recommendation data; it reflects what AI recommends and is not an endorsement by CiteHawk. Read the full methodology →
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Rankings are computed from AI responses only · Positions are not for sale