RRepoGEO

REPOGEO REPORT · LITE

raphaelmansuy/code2prompt

Default branch master · commit 699eae91 · scanned 6/15/2026, 1:42:01 PM

GitHub: 883 stars · 57 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 raphaelmansuy/code2prompt, 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 specific topics for prompt generation and code context

    Why:

    CURRENT
    cli, llm, python3, tools
    COPY-PASTE FIX
    cli, llm, python3, tools, prompt-engineering, code-context, ai-development, code-analysis, llm-prompts
  • highreadme#2
    Emphasize 'structured, AI-ready prompts from codebase' in the README's opening

    Why:

    CURRENT
    Code2Prompt is a powerful command-line tool that generates comprehensive prompts from codebases, designed to streamline interactions between developers and Large Language Models (LLMs) for code analysis, documentation, and improvement tasks.
    COPY-PASTE FIX
    Code2Prompt is a powerful command-line tool for **generating structured, AI-ready prompts directly from your codebase**, designed to provide comprehensive context to Large Language Models (LLMs) for analysis, documentation, and improvement tasks.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://pypi.org/project/code2prompt/

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 raphaelmansuy/code2prompt
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. Continue.dev · recommended 1×
  3. Cursor (IDE) · recommended 1×
  4. OpenAI's Assistants API · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How can I easily provide my entire codebase context to an LLM for analysis?
    you: not recommended
    AI recommended (in order):
    1. Continue.dev
    2. Cursor (IDE)
    3. OpenAI's Assistants API
    4. LlamaIndex
    5. Pinecone
    6. Weaviate
    7. Chroma
    8. Qdrant
    9. LangChain
    10. GitHub Copilot Chat
    11. OpenAI API
    12. Anthropic API

    AI recommended 12 alternatives but never named raphaelmansuy/code2prompt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What CLI tool can generate comprehensive code summaries for large language model prompts?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. GitHub Copilot
    3. OpenAI API
    4. Sourcegraph Cody
    5. Tabnine
    6. Tree-sitter

    AI recommended 6 alternatives but never named raphaelmansuy/code2prompt. 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 raphaelmansuy/code2prompt?
    pass
    AI named raphaelmansuy/code2prompt explicitly

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

  • If a team adopts raphaelmansuy/code2prompt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named raphaelmansuy/code2prompt 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 raphaelmansuy/code2prompt solve, and who is the primary audience?
    pass
    AI named raphaelmansuy/code2prompt explicitly

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

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raphaelmansuy/code2prompt — 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