Answer-first summary49/100 GEO
Claude Code
Terminal-native AI coding agent.
Your Citability Score
49/100Identity60/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
- Identity: Add: Logo, Founder / Team, Social links.
- Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
- Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
- Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
- Classification: Add: At least 2 tags.
Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.
Frequently asked questions
- What is Claude Code?
- Terminal-native AI coding agent.
- What does Claude Code do?
- CLI-based AI coding agent by Anthropic for terminal-first developers with high-reasoning multi-file refactoring.
- Who is Claude Code for?
- Software engineers and engineering teams who work primarily in the terminal and want AI help across their codebase.
- Is Claude Code verified?
- Claude Code is listed on CitableHub with a citability score of 49/100, computed from verifiable profile evidence.
Claude Code
InvitedTerminal-native AI coding agent.
AI CodingCH-VER-967247Listed September 10, 2026
AI-Extractable Summary
What:Terminal-native AI coding agent.
For whom:Software engineers and engineering teams who work primarily in the terminal and want AI help across their codebase
Key outcome:Reduce time to implement code changes and fix bugs by automating multi-step development tasks directly in the terminal
Category:AI Coding
Structured for AI systems to extract and cite.
Citability Score
49/100
60
Identity45
Evidence15
Trust50
Freshness80
Classification670
Impressions
0
Clicks
0
Likes
0
GQI Earned
Citable Outcome
Reduce time to implement code changes and fix bugs by automating multi-step development tasks directly in the terminal.
About
CLI-based AI coding agent by Anthropic for terminal-first developers with high-reasoning multi-file refactoring.
Target Audience: Software engineers and engineering teams who work primarily in the terminal and want AI help across their codebase.
Not ideal for: Non-technical users or teams that need a visual no-code interface instead of a terminal-based coding workflow.
What makes it different
- Terminal-native workflow that fits directly into existing developer habits
- Understands and acts on the local codebase rather than generating isolated snippets
- Can execute commands and tests as part of multi-step coding tasks
- Supports end-to-end coding workflows from editing to validation without leaving the CLI
Tags & Classification
bug fixingfeature implementationcode refactoringtest generationcodebase navigation
software engineersbackend developersfull-stack developersengineering teams
softwaresaasfintechecommerce
Platform: CLI ToolModel: Developer Tool
Links & Transparency
Cite this Project
BibTeX
@misc{citablehub_claude-code,
title = {Claude Code},
url = {https://citablehub.com/p/claude-code},
note = {Listed September 10, 2026. CitableHub ID: CH-VER-967247},
year = {2026}
}APA
Claude Code. (2026). CitableHub Software Index. https://citablehub.com/p/claude-code.
MLA
"Claude Code." CitableHub, 2026, https://citablehub.com/p/claude-code.
