RRepoGEO

REPOGEO REPORT · LITE

GWUDCAP/cc-sessions

Default branch main · commit c9818256 · scanned 5/25/2026, 10:12:06 AM

GitHub: 1,540 stars · 200 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 GWUDCAP/cc-sessions, 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
  • hightopics#1
    Add comprehensive topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-assisted-development, claude-code, workflow-automation, natural-language-programming, python, nodejs, developer-tools, task-management, code-generation, prompt-engineering
  • highreadme#2
    Clarify the README's opening statement to explicitly state its purpose

    Why:

    CURRENT
    <div align="center">An opinionated approach to productive development with Claude Code</div>
    COPY-PASTE FIX
    <div align="center">A powerful framework for automating AI-assisted development workflows with Claude Code, featuring natural language protocols and task validation.</div>
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://gwudcap.com/cc-sessions (or relevant project page)

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 GWUDCAP/cc-sessions
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Cursor · recommended 1×
  3. Tabnine · recommended 1×
  4. Codeium · recommended 1×
  5. JetBrains AI Assistant · recommended 1×
  • CATEGORY QUERY
    How to automate coding workflows using an AI assistant with natural language prompts?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Tabnine
    4. Codeium
    5. JetBrains AI Assistant
    6. AWS CodeWhisperer
    7. Google Gemini

    AI recommended 7 alternatives but never named GWUDCAP/cc-sessions. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python and Node.js libraries for AI-assisted development with task validation?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Pydantic
    5. LangChain.js
    6. LlamaIndex.TS
    7. Zod
    8. OpenAI API

    AI recommended 8 alternatives but never named GWUDCAP/cc-sessions. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 GWUDCAP/cc-sessions?
    pass
    AI named GWUDCAP/cc-sessions explicitly

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

  • If a team adopts GWUDCAP/cc-sessions in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GWUDCAP/cc-sessions 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 GWUDCAP/cc-sessions solve, and who is the primary audience?
    pass
    AI named GWUDCAP/cc-sessions explicitly

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

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