AI visibility report
AI visibility report for Cursor (Anysphere) in Autonomous Coding Agents.
Outside the top three on 13 of the 25 prompts buyers actually ask.
Augment Code is cited on 6 of those losses.
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Start free trialStill absent from 97.6% of tracked prompt responses
Top-3 citations across 125 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Google AI Mode
Gemini Search
ChatGPT
Bing Copilot
PerplexityHow to read this. Cursor (Anysphere) appears in 2.4% of tracked prompt responses. Presence is absolute coverage; share of voice is relative citation share; sentiment measures tone only when the brand appears.
Where Cursor (Anysphere) is losing
Prompts where competitors are visible and Cursor (Anysphere) is not.
These prompt-level losses are the first prompts to track and repair.
Where Cursor (Anysphere) is winning
No clear strengths identified yet.
Where Cursor (Anysphere) is losing5
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase?
Competitors on 3 platforms
Track this promptWhat AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract?
Competitors on 3 platforms
Track this promptWhich cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails?
Competitors on 1 platform
Track this promptWhat autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem?
Competitors on 1 platform
Track this promptWhich autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention?
Competitors on 1 platform
Track this prompt
Track Cursor (Anysphere) daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Cursor (Anysphere, Inc.) is an AI coding agent and integrated development environment founded in 2022 by four MIT graduates and headquartered in San Francisco. Built on a Visual Studio Code fork, it integrates autonomous AI agents, multi-file editing, and full-codebase semantic search into a single environment, allowing developers to write, refactor, and review code using natural-language instructions. Cursor supports multiple frontier LLMs—including models from OpenAI, Anthropic, Google, and xAI—alongside its own proprietary Composer and Fusion models. Trusted by over half of the Fortune 500 and more than 50,000 businesses, it reached $3 billion in ARR by May 2026 and was named a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Coding Agents. In June 2026, SpaceX announced an acquisition of Anysphere at a $60 billion valuation.
Cursor is an agent-native AI coding IDE from Anysphere that allows software engineers to build, refactor, and review code using natural-language instructions. Core product surfaces include the desktop IDE (VS Code fork), a CLI, a Slack bot, and cloud agents that run autonomously in isolated environments. Its proprietary Composer model powers agentic multi-step coding tasks; its Fusion/Tab model provides inline predictive autocomplete. Cursor indexes entire codebases for semantic search, supports parallel agent execution, and integrates with GitHub for PR-level code review via Bugbot. It is used by individual developers, engineering teams, and Fortune 500 enterprises.
Key Facts
- Founded
- 2022
- HQ
- San Francisco, USA
- Founders
- Michael Truell, Sualeh Asif, Aman Sanger +1 more
- Employees
- 300+
- Funding
- ~$3.4B
- ARR
- ~$3B (May 2026)
- Customers
- 50K+ businesses; 1M+ DAU
- Valuation
- $29.3B (Nov 2025 Series D); $60B SpaceX
- Status
- Private (SpaceX/xAI acquisition at $60B announced Jun 2026,
Target users
Key Capabilities10
- Agentic coding with parallel autonomous cloud and local agents (Composer 2.5)
- Proprietary Tab completion model (Fusion) for inline, context-aware autocomplete
- Full-codebase semantic indexing and natural-language search
- Multi-file editing and autonomous refactoring across large codebases
- Bugbot AI code review integrated with GitHub pull requests
- Cursor Automations for programmatic, always-on agent workflows (e.g., CI auto-healing, bug triage)
- Multi-model flexibility: OpenAI, Anthropic, Gemini, xAI, and Cursor-proprietary models in one interface
- Design Mode: visual prompting for UI changes with agents editing underlying code
- Enterprise controls: SSO, SCIM, audit logs, pooled usage, model/MCP access controls
- CLI and Slack integrations for cross-surface agent orchestration
Key Use Cases8
- Accelerating feature development from idea to pull request using autonomous agents
- Legacy codebase migrations parallelized across fleets of cloud agents
- Multi-file refactoring and codebase-wide code quality improvements
- Automated PR review, CI failure investigation, and code healing
- ML research experimentation automation and parallel model variant testing
- Enterprise developer productivity at scale with centralized admin and compliance
- Vibe coding and rapid prototype generation from natural-language instructions
- Real-time terminal and Slack-based agent orchestration for DevOps workflows
Cursor (Anysphere) customer outcomes
90% reduction in time from idea to production (20 days to 1.8 days); 55% increase in PRs merged per engineer
Over 2,400 engineers adopted Cursor as part of an agent-first engineering model, with 75% of all PRs now created by agents. Time from idea to first PR creation dropped from 8 days to under 30 minutes.
94% reduction in ML model inference cost (Dec 2025); additional 90% reduction (Mar 2026)
Wayfair's Applied Research team used parallel Cursor agents to run 110 ML model variants in a four-day sprint, achieving a 94% reduction in tag-validation model inference costs. A repeat sprint in March 2026 cut costs by a further 90%.
2× increase in weekly PR throughput
Faire replaced its in-house cloud agent system with Cursor Cloud Agents, doubling weekly PR throughput and compressing an 18-month team migration to a single engineer managing a fleet of agents. Over 2,000 automated agent runs execute per week without manual prompting.
Recent Trend
How AI describes Cursor (Anysphere)
No concise AI response excerpt is available for this brand yet.
Most cited sources3
Alternatives in Autonomous Coding Agents6
Cursor positions itself as the category-defining 'agent-native' AI coding IDE, contrasting with plugin-based assistants (e.g., GitHub Copilot) by embedding autonomous agents, multi-file reasoning, and full codebase understanding directly into the editor.
- Named a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Coding Agents.
- Trusted by over half the Fortune 500 and used by 40,000 NVIDIA engineers.
- Differentiates on proprietary model stack (Composer 2.5, Fusion/Tab), parallel cloud agents, multi-model flexibility, and an autonomy slider ranging from inline Tab completions to fully autonomous background agents.
- AAugment Code#19
- AAnthropic (Claude Code)#23
- Block (Goose)#33
- OpenAI (Codex CLI / Codex)#43
- Factory (Droid)#52
- WWarp#72
Reviews
Praised
- Context-aware codebase understanding for multi-file editing
- Fast and accurate Tab autocomplete (Fusion model)
- Seamless migration from VS Code with full extension compatibility
- Multi-model flexibility (Claude, GPT, Gemini) in one interface
- Autonomous agent workflows that run in parallel
- Measurable developer productivity gains
- Intuitive UI familiar to VS Code users
- MCP and extensibility options
Criticized
- June 2025 credit-based billing change reduced effective request count unexpectedly
- Unpredictable overage charges for heavy frontier model users
- Pro plan ($20/month) perceived as expensive relative to actual usage limits
- VS Code fork lags official VS Code releases by 1–2 months
- Performance and memory issues on lower-end machines with multiple agents
- AI-generated code quality inconsistencies in complex or security-sensitive scenarios
- No self-hosted or on-premise option for regulated enterprises
Developer sentiment on G2 is strongly positive, with users consistently praising Cursor's codebase-aware context, the quality of Tab autocomplete, seamless VS Code migration, and the productivity gains from autonomous agent workflows. Enterprise reviews highlight improved delivery velocity and reduced repetitive coding. The primary criticism centers on the June 2025 shift to credit-based billing, which caused unexpected overages and eroded trust among existing Pro subscribers. Trustpilot scores (1.7/5) reflect concentrated dissatisfaction from that billing controversy. Performance on lower-end hardware and occasional AI code quality issues on complex tasks are secondary concerns.
Pricing
Cursor offers a permanent free Hobby tier (limited agent requests and Tab completions, no credit card required). Individual paid plans use a credit-based billing model: Pro at $20/month ($16 billed annually) includes $20 of monthly model usage credits; Pro+ at $60/month provides 3× credits; Ultra at $200/month provides 20× credits with priority access. Auto mode (Cursor-routed models including Composer 2.5) is unlimited on all paid plans and does not draw from the credit pool. Manually selecting frontier models (Claude, GPT-5, Gemini) draws from the credit pool at each provider's API rate. Teams Standard is $40/user/month ($32 annual) with split usage pools for Composer/Auto and third-party API models, centralized billing, SSO, and usage analytics. Teams Premium at $120/user/month provides 5× usage for heavy agent workloads. Enterprise pricing is custom with pooled usage, SCIM, invoice billing, audit logs, and advanced security controls. Annual billing saves approximately 20% across all plans.
Limitations
- No self-hosted or on-premise deployment option, which is a concern for highly regulated enterprises.
- VS Code fork lags official VS Code releases by approximately 1–2 months.
- Credit-based billing (introduced June 2025) is variable per model and can generate unpredictable overages; the rollout caused significant community backlash and required a CEO apology and refunds.
- Pro plan's $20 credit pool is consumed faster by frontier models (Claude Opus, GPT-5), limiting effective request count to ~225–500/month depending on model selection.
- Performance can degrade on lower-end hardware when multiple agents run concurrently.
- AI-generated code quality has been flagged in reviews for complex or security-sensitive scenarios.
- Not suitable for non-developers—outputs code requiring deployment and maintenance.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | ChatGPT | Bing Copilot | Perplexity | Google AI Mode |
|---|---|---|---|---|---|
Capability0/5 cited (0%) | |||||
What AI coding agents handle multi-repo tasks well — making coordinated changes across a frontend and backend repo in a single session? | |||||
Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention? | |||||
I'm looking for an agentic CLI that supports tool use like web search and shell execution during a coding task — what are my options? | |||||
What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically? | |||||
Which cloud coding agents are best for generating and merging pull requests asynchronously without a developer staying in the loop? | |||||
Developer Experience0/5 cited (0%) | |||||
Which autonomous coding agents give the best real-time feedback loop when running multi-step tasks so developers stay in control? | |||||
Which agentic IDEs have the smoothest experience for reviewing and approving AI-generated changes before they touch the main branch? | |||||
What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step? | |||||
Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase? | |||||
What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture? | |||||
Integrations & Ecosystem0/5 cited (0%) | |||||
Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails? | |||||
Which autonomous coding agents integrate natively with popular code editors so devs can trigger agent tasks without leaving their IDE? | |||||
What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract? | |||||
Which agentic coding platforms integrate with project management tools so engineers can assign tickets directly to an AI agent to action? | |||||
What autonomous coding tools have the best ecosystem of community plugins for extending agent capabilities with custom tools and workflows? | |||||
Performance & Reliability3/5 cited (60%) | |||||
What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem? | |||||
Which autonomous coding agents are most cost-efficient for high-volume use — minimising frontier LLM provider token spend per merged PR? | |||||
Which cloud coding agents have the best uptime and task success rates for a mid-size team running dozens of concurrent agent jobs daily? | |||||
Which AI coding agents complete multi-file tasks fastest without sacrificing correctness — benchmarks or real-world comparisons? | |||||
What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch? | |||||
Setup & First Run0/5 cited (0%) | |||||
What are the best agentic IDEs for a team migrating from a traditional code editor that want AI-assisted multi-file editing from day one? | |||||
Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started? | |||||
Which cloud coding agents can be connected to an existing private repo and start opening pull requests with minimal setup? | |||||
What's the easiest AI coding agent to get running locally on a large existing TypeScript monorepo without hours of configuration? | |||||
I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour? | |||||
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | Augment Code | 8.8% | 32.7% | 0.0% | 0.0% | 8.0% | #7.2 | +0.21 |
| 2 | Anthropic (Claude Code) | 3.2% | 12.7% | 0.0% | 0.0% | 3.2% | #3.9 | +0.35 |
| 3 | Block (Goose) | 3.2% | 12.7% | 0.0% | 0.0% | 3.2% | #4.9 | +0.54 |
| 4 | OpenAI (Codex CLI / Codex) | 3.2% | 10.9% | 0.8% | 0.0% | 2.4% | #7.7 | +0.25 |
| 5 | Factory (Droid) | 2.4% | 10.9% | 0.0% | 0.0% | 1.6% | #4.7 | +0.60 |
| 6 | Cursor (Anysphere) | 2.4% | 5.5% | 0.8% | 0.8% | 2.4% | #16.7 | +0.27 |
| 7 | Warp | 1.6% | 3.6% | 1.6% | 0.0% | 1.6% | #4.0 | +0.30 |
| 8 | All Hands AI (OpenHands) | 0.8% | 5.5% | 0.0% | 0.0% | 0.8% | #2.0 | +0.70 |
| 9 | OpenCode | 0.8% | 1.8% | 0.0% | 0.0% | 0.8% | #2.0 | +0.60 |
| 10 | Cognition (Devin) | 0.8% | 1.8% | 0.8% | 0.0% | 0.8% | #3.0 | +0.80 |
| 11 | Aider AI | 0.8% | 1.8% | 0.0% | 0.0% | 0.8% | #27.0 | +0.00 |
| 12 | Amp | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 13 | Cline Bot Inc. | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 14 | Lovable | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 15 | Replit (Agent 3) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 16 | Roo Code (Roomote) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
| 17 | StackBlitz (Bolt.new) | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | — | — |
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