# Block (Goose) AI visibility in Autonomous Coding Agents

Canonical: https://devtune.ai/verticals/autonomous-coding-agents/block-goose

[Website](https://goose-docs.ai/)

Updated: 2026-09-27T01:01:28.489644+00:00
Prompts: 25
Runs: 5


## Platforms

- chatgpt-search
- bing-copilot-search
- google-ai
- perplexity
- google-ai-mode

Rank: 12
Total brands: 17
Measured responses: 125
Presence percent: 0.8
Share of voice percent: 0.9259259259259258
Average position: 3
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 0


## Profile

Overview: Goose is an open-source, local-first AI agent originally built at Block, Inc. (NYSE: XYZ) and publicly released in January 2025 under the Apache 2.0 license. In April 2026 it was donated to the Agentic AI Foundation (AAIF) at the Linux Foundation alongside Anthropic's Model Context Protocol (MCP) and OpenAI's AGENTS.md. Unlike code-completion tools, Goose autonomously executes entire engineering workflows: writing and running code, editing files, installing dependencies, calling external APIs, and iterating — all on the user's machine. It is model-agnostic, supporting 15+ LLM providers, and extensible through 70+ documented MCP extensions plus 3,000+ community integrations. Goose ships as a native desktop app, CLI, and embeddable API, all built in Rust. It is free under Apache 2.0; users pay only for their chosen LLM API. The project has 45,000+ GitHub stars and 500+ contributors.
Product summary: Goose is a free, open-source, local-first autonomous AI agent built in Rust, originally developed by Block (NYSE: XYZ) and now stewarded by the Linux Foundation's Agentic AI Foundation. It goes beyond code suggestions to autonomously install, execute, edit, test, and deploy across the full development loop. Key product pillars are: model-agnosticism (15+ LLM providers, including local models via Ollama), deep MCP extensibility (70+ extensions, 3,000+ community servers), YAML-based Recipes for reproducible agentic workflows, parallel subagents, and a security layer with prompt injection detection and an adversary reviewer. It ships as a desktop app (macOS, Linux, Windows), CLI, and embeddable API.


### Key capabilities

- Autonomous multi-step task execution: writes and runs code, edits files, installs dependencies, runs tests, and iterates — end to end
- Model-agnostic provider support: 15+ LLM providers including Anthropic, OpenAI, Google, Ollama (local), OpenRouter, Azure, and Bedrock
- MCP-native extensibility with 70+ documented extensions and 3,000+ community MCP servers
- YAML-based Recipes system for repeatable, shareable, parameterised agentic workflows and CI integration
- Parallel subagent orchestration for concurrent code review, research, and file-processing tasks
- Native desktop app (macOS, Linux, Windows), full CLI, and embeddable API — all built in Rust
- Security layer: prompt injection detection, tool permission controls, sandbox mode, and adversary reviewer agent
- ACP (Agent Client Protocol) server: connects from Zed, JetBrains, or VS Code; uses Claude Code or Codex as sub-providers
- Local-first execution with optional local LLM support via Ollama — code never leaves the machine unless a cloud API is chosen
- MCP Apps: extensions render interactive UIs (buttons, forms, visualisations) directly inside Goose Desktop



### Target users

- Software engineers seeking a free, autonomous, terminal-native AI agent
- Privacy-conscious developers in regulated or sensitive environments needing local LLM execution
- Budget-constrained developers, freelancers, and open-source contributors avoiding subscription fees
- Engineering teams needing model-agnostic agents without vendor lock-in
- DevOps and platform engineers automating CI/CD pipelines and incident response workflows
- Cross-functional teams (design, data, content) automating knowledge-work tasks beyond coding



### Key use cases

- Autonomous software engineering: scaffolding projects, fixing bugs, running test suites, and iterating without manual steps
- Large-scale code migrations (e.g., Ember to React, Ruby to Kotlin, class components to hooks)
- CI/CD pipeline automation via CLI and Recipes running in headless mode
- Automated code review: fetching PRs via GitHub MCP, analysing diffs, and posting review comments
- Incident response: parallel log analysis across services to accelerate time-to-recovery
- Cross-functional workflow automation: data analysis, research, content generation, and meeting prep via MCP integrations
- Privacy-sensitive development using fully local LLMs (Ollama) in air-gapped or regulated environments
- Developer productivity tooling: nightly test suites, vulnerability ticket handling, and security detection engineering

Integrations ecosystem: Goose is built on the Model Context Protocol (MCP) open standard and supports 70+ documented first-party extensions plus 3,000+ community-built MCP servers covering: version control (GitHub, GitLab), project management (Jira, Linear, Asana), productivity (Google Drive, Slack, Google Calendar, Notion), databases (PostgreSQL, SQL), cloud providers (AWS, GCP, Azure via Bedrock/OpenRouter), browsers, monitoring (Datadog, Grafana, Langfuse), and Jupyter notebooks. It supports 15–25+ LLM providers including Anthropic Claude, OpenAI GPT series, Google Gemini, Meta Llama, Alibaba Qwen, DeepSeek, Mistral, xAI Grok, Ollama (local), OpenRouter, Azure OpenAI, and AWS Bedrock. As an ACP (Agent Client Protocol) server, Goose integrates with Zed, JetBrains, and VS Code editors, and can consume Claude Code and OpenAI Codex as ACP providers. Extensions can render interactive MCP App UIs (buttons, forms, visualisations) inside Goose Desktop. Custom distributions allow organisations to ship branded, pre-configured Goose builds.
Pricing summary: Goose is entirely free and open-source under the Apache 2.0 license — no subscription, no usage caps, no paid tier. It follows a bring-your-own-key (BYOK) model: users supply their own LLM API credentials and pay providers directly. With local models via Ollama the total cost is zero beyond hardware. Cloud API costs depend on model and usage intensity; reviewed estimates range from approximately $5–$50 per month for typical developer workflows. By comparison, Claude Code Max is priced at up to $200/month and Cursor Ultra at $200/month. Enterprise or team pricing does not exist for Goose itself; organisations may incur costs for LLM API volume at scale.
Review summary: Community and analyst sentiment toward Goose is broadly positive, with most criticism focused on rough edges rather than fundamental capability gaps. Developers praise its model-agnostic flexibility, zero-cost licensing, privacy benefits from local execution, and the Recipes system as the standout differentiator. A common pattern in community discussions is users switching from Claude Code Max (up to $200/month) to Goose with a Claude API key and reducing monthly AI spend to roughly $30. Negative feedback centres on the learning curve for Recipes, mandatory terminal familiarity for power features, no native IDE integration (requiring context-switching), output quality varying by model choice, and the absence of enterprise compliance certifications. Analyst reviews rate it competitively against Claude Code on breadth of use cases and extensibility, while acknowledging that Claude Code and Cursor deliver tighter out-of-box polish and higher raw coding accuracy.
Competitive positioning: Goose occupies the free, open-source, local-first lane of the autonomous coding agent market. Its primary differentiators are: (1) zero subscription cost with a bring-your-own-key (BYOK) model supporting 15+ LLM providers, preventing vendor lock-in; (2) local-first architecture keeping code on-device unless a cloud API is explicitly used, appealing to privacy-sensitive teams; (3) MCP-native extensibility reaching 70+ documented and 3,000+ community extensions, giving it the broadest tool surface area of any agent in the category; (4) governance under the Linux Foundation's Agentic AI Foundation (AAIF) alongside Anthropic's MCP and OpenAI's AGENTS.md, signaling infrastructure-grade neutrality. Goose does not compete on IDE-native autocomplete or curated SaaS polish; it competes on autonomy, model-agnosticism, and extensibility depth. Reviewed sources consistently frame it as the strongest free alternative to Claude Code and Cursor for developers who prioritise control over convenience.
Limitations: No commercial support tier, SLA, or enterprise support contract — support depends on GitHub Issues and Discord community responsiveness. No SOC 2, HIPAA, or other compliance certifications, which is a hard constraint for regulated industries. BYOK model requires users to manage their own LLM API keys, monitor spending, configure billing limits, and handle rate-limit errors — more operational overhead than flat-subscription tools. Output quality is model-dependent; Goose does not compensate for weaknesses in the underlying LLM. No native IDE integration: runs alongside the editor rather than inside it, adding context-switching overhead. The Recipes system has a steep learning curve — YAML authoring, action ordering, and error diagnosis can take days to master. Desktop UI is considered less polished than commercial alternatives like Cursor. Windows support is functional but the best experience is on macOS and Linux.


### Source urls

- https://goose-docs.ai/
- https://github.com/block/goose
- https://block.xyz/inside/block-open-source-introduces-codename-goose
- https://www.linuxfoundation.org/press/linux-foundation-announces-the-formation-of-the-agentic-ai-foundation
- https://goose-docs.ai/blog/2026/04/07/goose-moves-to-aaif
- https://venturebeat.com/infrastructure/claude-code-costs-up-to-usd200-a-month-goose-does-the-same-thing-for-free
- https://gradientflow.com/open-source-ai-that-pays-for-itself-blocks-vision-for-ai-integration/
- https://theaiagentindex.com/agents/goose
- https://aaif.io/blog/how-port-of-context-eliminated-production-agent-failures/
- https://en.wikipedia.org/wiki/Block,_Inc

Reviewed at: 2026-06-30T15:20:08.96+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Block, Inc. (internal) | Block deployed Goose internally across engineering and non-engineering roles. The company reports broad adoption and significant weekly time savings per user. | 60% of Block workforce uses Goose weekly; 75% of Block engineers report saving 8–10+ hours per week |
| Port of Context | Port of Context used Goose with Code Mode to build a GTM intelligence agent that searched GitHub and Hacker News in real time and delivered digests to Slack. Code Mode eliminated all rate-limit failures and cut per-run cost and token usage. | 100% task delivery rate (vs. 56% without Code Mode); ~2× cost reduction per run ($0.20 vs $0.41); ~3× fewer input tokens |



### Reviews breakdown





### Review themes



#### Praised

- Zero subscription cost with BYOK model
- Model-agnostic: works with any LLM including local Ollama models
- Local-first privacy — code stays on machine
- Recipes system for repeatable, shareable workflows
- Deep MCP extensibility (70+ extensions, 3,000+ community servers)
- Apache 2.0 + Linux Foundation governance ensures long-term openness
- Parallel subagent orchestration for concurrent tasks
- Active community with 500+ contributors and rapid release cadence



#### Criticized

- Steep learning curve for the Recipes/YAML system
- Requires terminal comfort — not beginner-friendly
- No native IDE integration; runs alongside editor causing context-switching overhead
- Output quality depends entirely on the underlying LLM choice
- No SOC 2, HIPAA, or compliance certifications
- BYOK requires active API cost monitoring and billing management
- Desktop UI less polished than commercial alternatives like Cursor
- No commercial support tier or SLA




### Company facts

Founded year: 2009
Hq: Oakland, California, USA


#### Founders

- Jack Dorsey

Employees range: 5000-6000
Total funding: Not available
Valuation: Not available
Arr: Not available
Customer count: Not available
Status: Public (NYSE: XYZ)


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| OpenAI (Codex CLI / Codex) | 21 | 125 | 16.8 | 3.5 |
| Cursor (Anysphere) | 16 | 125 | 12.8 | 3.272727272727273 |
| Anthropic (Claude Code) | 11 | 125 | 8.799999999999999 | 2.8181818181818183 |
| Augment Code | 9 | 125 | 7.199999999999999 | 5.833333333333333 |
| Cognition (Devin) | 7 | 125 | 5.6000000000000005 | 3.25 |
| All Hands AI (OpenHands) | 5 | 125 | 4 | 1.8571428571428572 |
| Aider AI | 5 | 125 | 4 | 2.4285714285714284 |
| Warp | 5 | 125 | 4 | 4.2 |
| Cline Bot Inc. | 4 | 125 | 3.2 | 3 |
| OpenCode | 2 | 125 | 1.6 | 4.666666666666667 |
| Amp | 1 | 125 | 0.8 | 1 |
| Block (Goose) | 1 | 125 | 0.8 | 3 |
| Factory (Droid) | 1 | 125 | 0.8 | 4 |
| Lovable | 0 | 125 | 0 | Not available |
| Replit (Agent 3) | 0 | 125 | 0 | Not available |
| Roo Code (Roomote) | 0 | 125 | 0 | Not available |
| StackBlitz (Bolt.new) | 0 | 125 | 0 | Not available |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 0 | 0 |
| bing-copilot-search | 0 | 0 |
| google-ai | 0 | 0 |
| perplexity | 0 | 0 |
| google-ai-mode | 1 | 4 |



## Strengths





## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract? | 5 |
| I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour? | 3 |
| What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem? | 3 |
| What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture? | 3 |
| Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails? | 3 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 0 |
| Developer Experience | 5 | 1 |
| Integrations & Ecosystem | 5 | 0 |
| Performance & Reliability | 5 | 0 |
| Setup & First Run | 5 | 0 |



## Prompt results

- Prompt text: What agentic coding tools handle long-running tasks reliably — resuming after an interruption rather than starting over from scratch?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Amp | 1 |
| OpenAI (Codex CLI / Codex) | 2 |
| Anthropic (Claude Code) | 3 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Aider AI | 2 |


- Prompt text: Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |
| Augment Code | 4 |
| OpenAI (Codex CLI / Codex) | 6 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Aider AI | 2 |
| Augment Code | 9 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Block (Goose) | 3 |


- Prompt text: What autonomous coding tools handle legacy codebases in dynamically typed languages best — Python 2 or older PHP specifically?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: What AI coding agents support bring-your-own LLM provider so a platform team can route through an existing enterprise model contract?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cline Bot Inc. | 1 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Augment Code | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Warp | 2 |



##### Perplexity

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 1 |
| Warp | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |


- Prompt text: 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?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: Which cloud coding agents have the best uptime and task success rates for a mid-size team running dozens of concurrent agent jobs daily?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 5 |
| Anthropic (Claude Code) | 6 |
| Cursor (Anysphere) | 8 |
| Cognition (Devin) | 11 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: I'm evaluating autonomous coding agents for a 10-person startup — which ones can a new engineer get productive with in under an hour?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 1 |
| Anthropic (Claude Code) | 3 |
| OpenAI (Codex CLI / Codex) | 4 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenCode | 3 |
| OpenAI (Codex CLI / Codex) | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cognition (Devin) | 3 |


- Prompt text: 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?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |


- Prompt text: Which autonomous coding agents give the best real-time feedback loop when running multi-step tasks so developers stay in control?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 1 |
| OpenAI (Codex CLI / Codex) | 3 |
| Anthropic (Claude Code) | 4 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 2 |
| Cline Bot Inc. | 4 |
| OpenAI (Codex CLI / Codex) | 5 |



##### Google-ai-mode




- Prompt text: Which autonomous coding agents can reliably write and run tests, interpret failures, and self-correct without human intervention?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Cognition (Devin) | 2 |
| Anthropic (Claude Code) | 3 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 2 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 4 |
| Cline Bot Inc. | 6 |



##### Google-ai-mode




- Prompt text: What AI coding agents handle multi-repo tasks well — making coordinated changes across a frontend and backend repo in a single session?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Augment Code | 3 |


- Prompt text: Which agentic IDEs have the smoothest experience for reviewing and approving AI-generated changes before they touch the main branch?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |
| Warp | 4 |



##### Google-ai-mode




- Prompt text: Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Anthropic (Claude Code) | 2 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 7 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Aider AI | 2 |


- Prompt text: What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai

| Display name | Position |
| --- | --- |
| Augment Code | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Anthropic (Claude Code) | 1 |



##### Google-ai-mode




- Prompt text: Which cloud coding agents are best for generating and merging pull requests asynchronously without a developer staying in the loop?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Cognition (Devin) | 2 |
| Factory (Droid) | 4 |
| Cursor (Anysphere) | 5 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 8 |
| Augment Code | 10 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Augment Code | 2 |


- Prompt text: What's the easiest AI coding agent to get running locally on a large existing TypeScript monorepo without hours of configuration?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Anthropic (Claude Code) | 1 |
| OpenAI (Codex CLI / Codex) | 3 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 3 |


- Prompt text: Which autonomous coding agents are most cost-efficient for high-volume use — minimising frontier LLM provider token spend per merged PR?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Anthropic (Claude Code) | 5 |
| OpenAI (Codex CLI / Codex) | 6 |
| Warp | 7 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: What autonomous coding agents run tasks inside a secure sandbox so a compromised prompt can't affect the host filesystem?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Anthropic (Claude Code) | 2 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Anthropic (Claude Code) | 1 |
| Augment Code | 5 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |



##### Google-ai-mode




- Prompt text: What autonomous coding tools are best suited for a solo developer who wants to delegate routine feature work and focus on architecture?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 1 |
| Cursor (Anysphere) | 2 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Cognition (Devin) | 1 |
| Cursor (Anysphere) | 5 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 1 |


- Prompt text: What autonomous coding tools have the best ecosystem of community plugins for extending agent capabilities with custom tools and workflows?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cursor (Anysphere) | 2 |
| OpenAI (Codex CLI / Codex) | 4 |
| OpenCode | 5 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: Which AI coding agents complete multi-file tasks fastest without sacrificing correctness — benchmarks or real-world comparisons?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode




- Prompt text: Which autonomous coding agents integrate natively with popular code editors so devs can trigger agent tasks without leaving their IDE?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 2 |



##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cognition (Devin) | 3 |


- Prompt text: Which agentic coding platforms integrate with project management tools so engineers can assign tickets directly to an AI agent to action?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search





##### Google-ai





##### Perplexity





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Cline Bot Inc. | 1 |
| Aider AI | 2 |
| Warp | 3 |


- Prompt text: Which cloud coding agents can be connected to an existing private repo and start opening pull requests with minimal setup?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Augment Code | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| OpenAI (Codex CLI / Codex) | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Aider AI | 2 |


- Prompt text: Which cloud coding agents integrate with CI pipelines to automatically attempt fixes when a build or test suite fails?


#### Brand position by platform

Chatgpt-search: Not available
Bing-copilot-search: Not available
Google-ai: Not available
Perplexity: Not available
Google-ai-mode: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Cognition (Devin) | 2 |



##### Bing-copilot-search





##### Google-ai

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| All Hands AI (OpenHands) | 3 |



##### Google-ai-mode







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://github.com/aaif-goose/goose | GitHub - aaif-goose/goose: an open source, extensible AI ... | github.com | Not available | commercial | product_page | 2 | 2 |



## Response excerpts





## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| bing-copilot-search | Augment Code | Leading options include Cursor Enterprise, GitHub Copilot Business/Enterprise, Augment Code, Qodo, and self-hosted Llama-based stacks, as well as orchestration platforms like Clarista, IBM watsonx Agents, and Red Hat’s OpenClaw that explicitly e... |
| google-ai | Warp | Warp (Enterprise Tier): * How it works: An AI-accelerated terminal. |
| perplexity | OpenCode | OpenCode — Install, connect a provider, run `/init`, then start working in the terminal. |



## Trend

Visibility delta: 0.8
Avg position delta: Not available
Citation count delta: 1