RRepoGEO

REPOGEO REPORT · LITE

johnhuang316/code-index-mcp

Default branch master · commit 5e8d5fce · scanned 5/30/2026, 5:56:35 AM

GitHub: 955 stars · 113 forks

AI VISIBILITY SCORE
22 /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
1 / 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 johnhuang316/code-index-mcp, 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
  • highreadme#1
    Reposition the README H1 to clarify 'MCP' and its purpose

    Why:

    CURRENT
    # Code Index MCP
    COPY-PASTE FIX
    # Code Index MCP: A Model Context Protocol Server for LLM Code Analysis
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, ai, code-analysis, code-indexing, model-context-protocol, mcp, developer-tools, python, generative-ai
  • mediumhomepage#3
    Add the official Model Context Protocol website as the homepage

    Why:

    COPY-PASTE FIX
    https://modelcontextprotocol.io

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 johnhuang316/code-index-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Sourcegraph Cody · recommended 2×
  3. GitHub Copilot · recommended 1×
  4. LlamaIndex · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How can I enable an AI assistant to understand and analyze my codebase effectively?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. OpenAI API
    3. LlamaIndex
    4. LangChain
    5. Pinecone
    6. Weaviate
    7. Chroma
    8. Sourcegraph Cody
    9. Continue.dev
    10. Tabnine
    11. Llama 3
    12. Code Llama
    13. Ollama
    14. LM Studio

    AI recommended 14 alternatives but never named johnhuang316/code-index-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help large language models perform advanced code analysis and generate documentation?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Sourcegraph Cody
    3. OpenAI API
    4. Tabnine Chat
    5. Codeium Chat
    6. DeepCode AI

    AI recommended 6 alternatives but never named johnhuang316/code-index-mcp. 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 johnhuang316/code-index-mcp?
    pass
    AI did not name johnhuang316/code-index-mcp — 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 johnhuang316/code-index-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named johnhuang316/code-index-mcp 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 johnhuang316/code-index-mcp solve, and who is the primary audience?
    pass
    AI did not name johnhuang316/code-index-mcp — 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?

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johnhuang316/code-index-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite