# Anthropic (Claude Code) AI visibility in Autonomous Coding Agents

Canonical: https://devtune.ai/verticals/autonomous-coding-agents/anthropic-claude-code

[Website](https://www.anthropic.com/product/claude-code)

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: 3
Total brands: 17
Measured responses: 125
Presence percent: 8.799999999999999
Share of voice percent: 10.185185185185185
Average position: 2.8181818181818183
Docs presence percent: 4
Blog presence percent: 0
Brand mention percent: 85.6


## Profile

Overview: Claude Code is Anthropic's agentic coding system, generally available since May 2025, that orchestrates entire software projects rather than offering line-by-line autocomplete. It reads full codebases, plans multi-step changes, edits files across directories, executes shell commands and test suites, and commits results—operating from a terminal CLI, VS Code or JetBrains plugin, standalone desktop app, or web browser. Powered by Anthropic's Claude Sonnet and Opus frontier models, it extends its reach via the open Model Context Protocol (MCP), connecting to GitHub, GitLab, Jira, Slack, and custom APIs. It targets professional engineers, enterprise teams running large-scale migrations, and non-engineers building software by describing outcomes in plain language. Enterprise plans add HIPAA compliance, 500K-token context, SSO, and granular spend controls.
Product summary: Claude Code is Anthropic's terminal-native, agentic coding system that autonomously reads codebases, plans and executes multi-file changes, runs tests, fixes failures, and manages git workflows. Backed by Anthropic's Claude Sonnet and Opus frontier models, it operates at the project level rather than suggesting the next line, and extends via MCP, IDE plugins, CI/CD integrations, a desktop app, and the web—targeting both professional engineers and non-engineers who need to build software by describing outcomes in plain language.


### Key capabilities

- Whole-codebase context reading and navigation (up to 200K tokens on subscription, 500K on Enterprise, 1M via API on Opus)
- Autonomous multi-file code editing, refactoring, and feature development across entire projects
- Test execution, failure interpretation, and iterative bug fixing until test suites pass
- Native git workflow automation: commits, branches, pull requests, and merge requests
- GitHub Actions and GitLab CI/CD integration with automated PR/MR code review
- Model Context Protocol (MCP) extensibility connecting to external tools, databases, and APIs
- Multi-agent orchestration: parallel sub-agents coordinated by a lead agent for concurrent task execution
- Configurable autonomy and permissions model (per-action approval to fully autonomous classifier-gated modes)
- CLAUDE.md project memory, Skills, Hooks, and Routines for persistent workflow customization
- Cross-surface availability: terminal CLI, VS Code, JetBrains, desktop app, web, iOS, and Slack



### Target users

- Professional software engineers performing complex multi-file and cross-codebase development
- Enterprise engineering teams automating coding, testing, and CI/CD workflows at scale
- DevOps and platform engineers managing large codebases or accelerating incident response
- Non-engineers (product managers, founders, operations) building prototypes or internal tools
- Teams executing large-scale code migration or modernization projects
- Individual developers (Pro/Max subscribers) delegating full tasks rather than accepting autocomplete suggestions



### Key use cases

- Large-scale codebase migrations across languages or frameworks
- Autonomous feature development across multi-file, multi-language projects
- Incident investigation and root-cause diagnosis in production systems
- CI/CD pipeline monitoring with automated failure remediation
- Code review automation via GitHub and GitLab integrations
- Onboarding engineers to unfamiliar or legacy codebases
- Non-engineer prototyping and internal tooling by PMs, founders, and ops teams
- Dependency upgrades, lint fixes, and routine maintenance automation

Integrations ecosystem: Claude Code is built around the Model Context Protocol (MCP), Anthropic's open standard for connecting AI tools to external data sources and services including GitHub, GitLab, Jira, Slack, Google Drive, Snowflake, Databricks, and custom APIs. Native CI/CD integration is available for GitHub Actions and GitLab CI/CD pipelines, with automated code review on pull requests and merge requests. IDE support spans VS Code (2M+ extension installs), JetBrains (IntelliJ IDEA, PyCharm, WebStorm), and Cursor. Claude Code runs via Amazon Bedrock, Google Vertex AI, and Microsoft Azure Foundry for teams with cloud-provider billing preferences. Additional surfaces include a standalone desktop app, web browser at claude.ai/code, iOS app, and Slack integration for task delegation from chat. The Agent SDK enables teams to build custom orchestration workflows on Claude Code's underlying tools and permissions model.
Pricing summary: Claude Code requires a paid Claude subscription or Anthropic API account; there is no free-tier access. Individual plans: Pro at $20/month ($17/month billed annually) with Claude Sonnet access; Max 5x at $100/month (5× Pro usage limits, adds Opus access); Max 20x at $200/month (20× Pro limits). Team plans require at least 5 seats: Standard at $25/seat/month ($20 annual); Premium at $125/seat/month ($100 annual), which includes Claude Code. Enterprise is custom-priced, adding 500K context, HIPAA compliance, SSO, audit logs, and per-user spend caps. API billing (no subscription required) uses standard Anthropic token rates: Claude Sonnet at $3/M input and $15/M output tokens; Claude Opus at $5/M input and $25/M output tokens; prompt caching reduces cached input costs by up to 90%. Claude Code also runs on Amazon Bedrock, Google Vertex AI, and Microsoft Azure Foundry, billed through the respective cloud provider.
Review summary: Claude Code holds a 4.9/5 rating on G2 with 14 reviews as of mid-2026, with 92% five-star reviews. Reviewers—including non-engineers who built production systems without a coding background—consistently highlight its whole-codebase context awareness, high first-pass code accuracy, and strong ROI relative to developer costs or plugin licenses. Common criticisms center on the terminal-first interface being unfamiliar to IDE-centric developers, rate-limit friction during heavy use, and token cost unpredictability at scale. Broader Claude platform reviews on Trustpilot (1,586 reviews) reflect frustration with subscription usage limits and customer support, which carries over to Claude Code experiences at the subscription tier.
Competitive positioning: Claude Code is Anthropic's first-party agentic coding agent, uniquely positioned as the only major autonomous coding tool built and maintained by the same organization that trains the underlying frontier models (Claude Sonnet and Opus). Unlike IDE-embedded tools (Cursor, GitHub Copilot) or open-source CLI agents (Aider, OpenCode), Claude Code benefits from vertical integration between model and agent, allowing Anthropic to co-optimize reasoning for agentic tasks, control safety defaults, and distribute the tool across its existing subscription tiers. In enterprise segments, it leads on HIPAA compliance, offers 500K-token context windows on Enterprise plans, and has deployed at firms like Stripe (1,370 engineers), Ramp, and Rakuten. Claude Code reached $2.5B in annualized revenue by February 2026 per public reporting, reflecting dominant enterprise adoption. Its closest rivals are Cursor for IDE-native developers and OpenAI Codex CLI for teams preferring OpenAI models.
Limitations: Claude Code is terminal-first, creating a steeper learning curve for developers accustomed to IDE-native tools like Cursor or GitHub Copilot. Rate limits—5-hour rolling session windows plus separate weekly caps—can interrupt heavy workloads, and cost management is complex at scale: API key misconfiguration can bypass subscription limits entirely, resulting in unexpectedly large pay-per-token bills. No free tier is available for Claude Code access. The closed-source API model raises data-privacy concerns for teams with proprietary codebases, as code is processed on Anthropic's infrastructure. MCP tool calls silently add token overhead. Native integrations are narrower than tools deeply embedded in the GitHub or JetBrains ecosystems, with most extensibility requiring MCP configuration.


### Source urls

- https://www.anthropic.com/product/claude-code
- https://docs.anthropic.com/en/docs/claude-code
- https://www.anthropic.com/news/series-h
- https://www.anthropic.com/news/anthropic-raises-30-billion-series-g-funding-380-billion-post-money-valuation
- https://claude.com/customers/stripe
- https://rakuten.today/blog/rakuten-accelerates-development-with-claude-code%EF%BF%BC.html
- https://www.g2.com/products/anthropic-claude-code/reviews
- https://claude.com/pricing
- https://sacra.com/c/anthropic/
- https://tracxn.com/d/companies/anthropic/__SzoxXDMin-NK5tKB7ks8yHr6S9Mz68pjVCzFEcGFZ08/funding-and-investors

Reviewed at: 2026-06-30T15:20:09.587+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Stripe | Deployed Claude Code to 1,370 engineers via a zero-configuration enterprise signed binary. One team completed a 10,000-line Scala-to-Java migration in four days, a project estimated at ten engineer-weeks without AI assistance. | 4 days vs. 10 engineer-weeks estimated |
| Ramp | Integrated Claude Code into development workflows, enabling non-engineering teams in sales, risk, and finance to query data warehouses using natural language instead of writing SQL. | 80% reduction in incident investigation time |
| Wiz | Migrated a 50,000-line Python library to Go using Claude Code in approximately 20 hours of active development, a project the team estimated would take two to three months manually. | ~20 hours active development vs. 2–3 months manual estimate |
| Rakuten | Reduced average feature delivery time from 24 working days to 5 by running multiple Claude Code sessions in parallel. A single autonomous run implemented a complex activation vector extraction method in vLLM (12.5M lines of code) in 7 hours with 99.9% numerical accuracy. | 79% reduction in feature delivery time (24 days → 5 days) |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.9 | 5 | 14 | https://www.g2.com/products/anthropic-claude-code/reviews |



### Review themes



#### Praised

- Whole-codebase context awareness and architectural understanding
- High first-pass code accuracy across multi-file changes
- Strong ROI compared to developer or plugin licensing costs
- Seamless MCP, Skills, and connector ecosystem integration
- Accessible to non-engineers for building production systems
- Terminal-native workflow suited to CLI-first developers
- Fast onboarding to unfamiliar or legacy codebases
- Configurable autonomy and permission controls for safe enterprise use



#### Criticized

- Terminal-first UX less polished than IDE-native tools like Cursor
- Rate limits (5-hour session windows, weekly caps) interrupt heavy workloads
- Token cost unpredictability and risk of large unexpected API bills
- No free tier for Claude Code access
- Data privacy concerns for proprietary codebases on a closed API
- Key commands and features hard to discover for new users
- MCP tool calls silently add token overhead to session costs
- Context exhaustion on very large monorepos




### Company facts

Founded year: 2021
Hq: San Francisco, CA


#### Founders

- Dario Amodei
- Daniela Amodei
- Benjamin Mann

Employees range: 3000-5000
Total funding: ~$132B
Valuation: $965B
Arr: ~$47B (Anthropic overall, May 2026 est.)
Customer count: 300,000+ business customers; 1,000+ spen
Status: Private


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 | 9 | 36 |
| bing-copilot-search | 1 | 4 |
| google-ai | 0 | 0 |
| perplexity | 1 | 4 |
| google-ai-mode | 0 | 0 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| What AI coding agents do senior engineers prefer for refactoring large codebases without babysitting every intermediate step? | 1 | 1 |
| What's the easiest AI coding agent to get running locally on a large existing TypeScript monorepo without hours of configuration? | 1 | 1 |
| Which agentic CLI tools work out of the box on popular operating systems without requiring a container sandbox just to get started? | 1 | 2 |
| Which autonomous coding agents are most cost-efficient for high-volume use — minimising frontier LLM provider token spend per merged PR? | 1 | 5 |



## 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 |
| Which AI coding agents handle context window limitations most gracefully when working across dozens of files in an enterprise codebase? | 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 |
| 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? | 2 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 1 |
| Developer Experience | 5 | 2 |
| Integrations & Ecosystem | 5 | 0 |
| Performance & Reliability | 5 | 4 |
| Setup & First Run | 5 | 3 |



## 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: 3
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: Not available



#### 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: 6
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: 3
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: 4
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: 3
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: 2
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: 1
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: 1
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: 5
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: 2
Bing-copilot-search: 1
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://www.anthropic.com/engineering/claude-code-sandboxing | Making Claude Code more secure and autonomous with sandboxing \ Anthropic | anthropic.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/cc8570162ee57321ea12bb4a2333bf4fa30bb9ab.png | commercial | blog_post | 5 | 5 |
| https://docs.anthropic.com/en/docs/claude-code/cli-usage | CLI reference - Anthropic | docs.anthropic.com | Not available | commercial | documentation | 3 | 3 |
| https://docs.anthropic.com/en/docs/claude-code/getting-started | Set up Claude Code - Anthropic | docs.anthropic.com | Not available | commercial | documentation | 3 | 3 |
| https://www.anthropic.com/claude/opus | Claude Opus \ Anthropic | anthropic.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/cc8570162ee57321ea12bb4a2333bf4fa30bb9ab.png | commercial | product_page | 1 | 1 |
| https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/prompt-templates-and-variables | Prompting best practices - Claude Platform Docs | docs.anthropic.com | Not available | commercial | documentation | 1 | 1 |
| https://www.anthropic.com/claude/sonnet | Claude Sonnet \ Anthropic | anthropic.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/b29857fc-5b1b-4cb1-a7a1-bdd6b5ec0a30/cc8570162ee57321ea12bb4a2333bf4fa30bb9ab.png | commercial | product_page | 1 | 1 |
| https://status.anthropic.com/uptime | Claude Status - Uptime History | status.anthropic.com | Not available | commercial | documentation | 1 | 1 |



## 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. |



## Trend

Visibility delta: 7.199999999999999
Avg position delta: -0.18181818181818166
Citation count delta: 9