RRepoGEO

REPOGEO REPORT · LITE

hanshuaikang/nezha

Default branch main · commit 5540de3b · scanned 5/16/2026, 11:46:58 PM

GitHub: 1,220 stars · 113 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface hanshuaikang/nezha, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Refine the 'about' description to explicitly state its core function as an IDE

    Why:

    CURRENT
    Code Editor for the AI Agents Era. Run multiple Claude Code and Codex agents across projects on your machine.
    COPY-PASTE FIX
    Nezha is an agent-first IDE and code editor for the AI Agents Era, enabling parallel programming with multiple Claude Code and Codex agents across projects on your machine.
  • mediumtopics#2
    Update topics for better category visibility and precision

    Why:

    CURRENT
    ai, claude-code, codex, cursor, ide, vibe-coding, vibecoding
    COPY-PASTE FIX
    ai, claude-code, codex, ide, vibe-coding, vibecoding, ai-ide, agent-ide, multi-agent-development, ai-coding-assistant, developer-tools
  • lowreadme#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Nezha vs. Other AI IDEs' or 'Why Nezha?', detailing how it compares to tools like Cursor, Codeium, and VS Code with AI extensions, focusing on its 'Agent-First' and 'Vibe Coding' aspects.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface hanshuaikang/nezha
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. Codeium · recommended 2×
  3. JetBrains AI Assistant · recommended 2×
  4. Visual Studio Code · recommended 1×
  5. GitHub Copilot · recommended 1×
  • CATEGORY QUERY
    What IDEs support integrating multiple AI coding agents for development workflows?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Visual Studio Code
    3. GitHub Copilot
    4. Tabnine
    5. Codeium
    6. OpenAI's GPT-4
    7. Anthropic's Claude
    8. JetBrains IDEs
    9. JetBrains AI Assistant
    10. CodeGPT
    11. OpenAI's GPT series
    12. Google's Gemini
    13. Replit
    14. Ghostwriter AI

    AI recommended 14 alternatives but never named hanshuaikang/nezha. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an agent-first development environment to manage multiple coding projects with AI assistance.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue (continue-team/continue)
    3. GitHub Copilot Chat
    4. JetBrains AI Assistant
    5. Codeium

    AI recommended 5 alternatives but never named hanshuaikang/nezha. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of hanshuaikang/nezha?
    pass
    AI did not name hanshuaikang/nezha — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts hanshuaikang/nezha in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hanshuaikang/nezha explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo hanshuaikang/nezha solve, and who is the primary audience?
    pass
    AI named hanshuaikang/nezha explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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hanshuaikang/nezha — RepoGEO report