# Cursor vs Rayo (Zero by Rayo)

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Rayo (Zero by Rayo) records 0 monthly visits with -100% growth and Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Rayo (Zero by Rayo)](https://openaitools.app/tool/rayo) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://rayo.work |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI SEO Tools, SEO Writing AI, AI Blog Generator, AI Bypasser |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 23,297,751 | 0 |
| MoM Growth Rate | +8.4% | -100% |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 0 |
| Review Score | 4.7 | 3.9 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## Rayo (Zero by Rayo)

Rayo is an AI assistant company that has repositioned around a product called Zero. Zero is described as an always-on assistant that runs the work you would otherwise hand off to a person: it can read your inbox, find new leads, draft a summary, and email it on a schedule, then ask for confirmation when it is unsure about an action. The pitch is less about chatting and more about a dependable agent that quietly completes recurring jobs in the background.

The product is currently in a pre-launch, waitlist-driven phase, and the site shows a countdown plus logos of teams that have joined the queue. Access to strong underlying models is part of the value proposition, along with auditability and a privacy-first design. Detailed feature documentation is not yet public at this stage.

Rayo also keeps a legacy SEO automation product live for its existing user base, which is a useful reminder that the company has shipped before and is now betting its next chapter on agentic assistants. Because pricing has not been published, teams interested in Zero should expect to learn commercial terms through the waitlist process.

**Pricing & Plans:** No public pricing is listed yet — Rayo is in a waitlist/pre-launch phase, so commercial terms are expected to be shared with early-access participants.

- **Always-on scheduled agents:** Zero runs tasks on triggers and time schedules — for example, reading new leads every morning at 9am and emailing a summary.
- **Multi-step task execution:** The assistant chains actions such as reading an inbox, identifying leads, drafting an email, and sending it, rather than producing a single answer.
- **Confirmation when unsure:** When an action is ambiguous, Zero pauses and asks before doing something irreversible, such as emailing a specific contact.
- **Access to strong models:** Rayo markets frictionless access to capable frontier models as part of the assistant's core value.
- **Auditability and privacy:** The product emphasizes a fully auditable action log and privacy-first handling of the data it touches.

**Strengths:** Positioned around dependable, scheduled execution rather than one-off chat answers; Confirmation steps reduce the risk of an agent taking the wrong irreversible action; Markets access to high-capability models plus auditability and privacy; Backed by a company with a shipped legacy product, not a brand-new unknown

**Limitations:** Still gated behind a waitlist, so hands-on evaluation is not yet possible; No published pricing or detailed feature documentation at this stage

[Profile (Markdown)](https://openaitools.app/tool/rayo.md)

## Frequently Asked Questions

### How do Cursor and Rayo (Zero by Rayo) compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while Rayo (Zero by Rayo) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; Rayo (Zero by Rayo) has -100%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. Rayo (Zero by Rayo): Contact for Pricing. No public pricing is listed yet — Rayo is in a waitlist/pre-launch phase, so commercial terms are expected to be shared with early-access participants.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |
| 9 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |
| 10 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | AI agents that run recurring business work for your team | [.md](https://openaitools.app/tool/creao.md) |

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Source: https://openaitools.app/compare/cursor-vs-rayo

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