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Sierra

How the 9 leading AI models rank Sierra in AI agents.

17th
of 23 in category
18
Recommendation score
3 / 9
AI models agree

How each AI ranks it

average position · verbatim answers kept
ChatGPTChatGPTnot ranked
ClaudeClaudenot ranked
Gemininot ranked
PerplexityPerplexitynot ranked
DeepSeekDeepSeek14th

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.

ProductWhy 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 CopilotThe 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)

ProductWhy people use it
GitHub Copilot WorkspaceThe 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.
CursorAI-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.

ProductWhy people use it
Zapier AgentsLets 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 / LangGraphThe standard framework for building custom AI agents. Not a consumer product, but it powers many “agent” apps.
CrewAIPython framework for building “crews” of multiple AI agents that collaborate on tasks. Popular with devs.

🔍 Research & Deep-Web Agents

ProductWhy people use it
PerplexityBasically 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.
ConsensusAI agent specialized for scientific research. Finds and summarizes actual peer-reviewed papers.

🏢 Enterprise AI Agents (For Companies)

ProductWhy people use it
Salesforce AgentforceEnterprise agents that handle sales, support, and marketing. Used by major companies for customer service automation.
Microsoft Copilot StudioBuild 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.
GleanEnterprise 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 assistantChatGPT or Claude
Living inside Google/AndroidGemini
Writing code fasterCursor or Claude Code
Automating business workflowsZapier Agents or n8n
Deep research with citationsPerplexity
Enterprise customer-service agentsSalesforce 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.

GrokGrok13th

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.

CopilotCopilot4th

The top AI agents in 2026 span customer support, sales, coding, and workflow automation, with leading products including ChatBot, OpenAI agents, Claude AI, Google Gemini, Microsoft Copilot, Zapier Agents, and specialized tools like Devin for coding or Lindy for small teams.

Top AI Agents by Use Case

Customer Support and Service

ChatBot – Excels in handling support tickets, lead capture, and FAQs on websites and multiple channels. Its AI trains on your internal data and supports no-code deployment, improving over time through self-learning. Intercom Fin – Best for SaaS companies seeking polished AI support; quick deployment and smooth integration with human agents. Ada – No-code conversational flows suited for mid-market brands automating FAQs, returns, billing, or onboarding. Sierra – Enterprise-focused, with cross-session memory and multiple AI models; ideal for complex support operations at large consumer brands.

Sales and Lead Generation

Text – AI agents track buying signals in real time, qualify leads, recommend products, and convert chats into revenue for e-commerce or B2B teams. Drift (Salesloft) – Conversational marketing AI that books meetings, qualifies leads, and integrates with CRM and marketing automation stacks. Freshworks Freddy AI – Ideal for SMBs and mid-market teams within the Freshworks ecosystem; offers pre-built workflows for sales and support automation.

Coding and Development

Devin AI – Highly autonomous, capable of planning, coding, testing, and deploying software end-to-end; suited for enterprise engineering teams. Cursor – Local-first AI coding assistant that edits and iterates code, keeping sensitive data local; good for individual developers or small teams. GitHub Copilot – Integrated within GitHub; assists with code generation, debugging, and project workflow support.

Workflow Automation and Internal Productivity

Zapier Agents – Automates tasks across 9,000+ apps, executing real workflows; ideal for sales, HR, support, and marketing ops. Lindy – Optimized for small teams or founders; handles multi-step tasks like email management, scheduling, and follow-ups with multi-agent coordination. Notion AI – In-app assistance for writing, knowledge management, and project workflows; best for teams already using Notion. ClickUp AI – Focused on project planning, documentation, and task management; reduces admin work for project teams. Microsoft Copilot – Custom business process agents integrated into Microsoft 365, Teams, Outlook; excellent for enterprises heavily using Microsoft tools.

General-Purpose and Advanced AI Agents

OpenAI GPT-powered Agents – Highly flexible, capable of multi-domain reasoning, task execution, and workflow automation for enterprises and individuals alike. Claude AI Agents – Best for research, analysis, and long-context tasks requiring accuracy and reliability. Google Gemini Agents – Multimodal assistants that combine text, image, and structured data understanding; suitable for teams leveraging Google products. Relevance AI – Enterprise-grade agents for internal data access, workflow automations, and analytics. Amelia AI – Digital employee for enterprises; automates support, service, and back-office operations.

Key Considerations for Choosing AI Agents

Integration: Ensure the agent connects to your existing stack (CRM, helpdesk, workflow tools). Autonomy: The best agents perform multi-step tasks, not just respond. Data Handling and Governance: SOC 2 or HIPAA compliance may be critical for some applications. Scalability: Enterprise-level agents (Sierra, Amelia) differ from small-team solutions (Lindy, Ada) in cost and deployment complexity. Pricing: Can range from subscription-based ($49–$60/month for small teams) to usage-based or contact-sales enterprise plans.

In summary, small teams or founders often benefit most from Lindy, Ada, or Zapier Agents, customer support-heavy organizations should consider ChatBot, Intercom Fin, or Sierra, coding teams gain efficiency with Devin, Cursor, or Copilot, and enterprises seeking broad workflow autonomy may opt for OpenAI agents, Google Gemini, or Microsoft Copilot ChatBot+2.

Google AIGoogle AInot ranked
AI ModeGoogle AI Modenot ranked
Open a row for the verbatim answer that AI model gave, captured during the monthly refreshEvery captured answer →

How this is measured

Sierra’s AI Recommendation Score (18/100) 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