RRepoGEO

REPOGEO REPORT · LITE

QuixiAI/github2file

Default branch main · commit 916d348d · scanned 6/7/2026, 7:37:43 AM

GitHub: 864 stars · 99 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 QuixiAI/github2file, 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
    Add a concise description to the About section

    Why:

    COPY-PASTE FIX
    A Python script to download, process, and consolidate GitHub repository files into a single text output, optimized for feeding codebases to AI models and chatbots.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    github-repository, ai-chatbot, llm-tools, code-processing, context-window, python-script, code-converter, generative-ai
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of a permissive license like MIT or Apache-2.0.

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 QuixiAI/github2file
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
repo-to-text
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. repo-to-text · recommended 1×
  2. GitHub CLI · recommended 1×
  3. git archive · recommended 1×
  4. git ls-files · recommended 1×
  5. tree-sitter · recommended 1×
  • CATEGORY QUERY
    How to convert a GitHub repository into a single file for AI chatbot context?
    you: not recommended
    AI recommended (in order):
    1. repo-to-text
    2. GitHub CLI
    3. git archive
    4. git ls-files

    AI recommended 4 alternatives but never named QuixiAI/github2file. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to process GitHub repo files, filter by language, and remove comments for AI models?
    you: not recommended
    AI recommended (in order):
    1. tree-sitter
    2. pygments
    3. strip-comments
    4. comment_parser
    5. cloc
    6. Custom Regular Expressions

    AI recommended 6 alternatives but never named QuixiAI/github2file. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 QuixiAI/github2file?
    pass
    AI did not name QuixiAI/github2file — 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 QuixiAI/github2file in production, what risks or prerequisites should they evaluate first?
    pass
    AI named QuixiAI/github2file 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 QuixiAI/github2file solve, and who is the primary audience?
    pass
    AI named QuixiAI/github2file explicitly

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

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MARKDOWN (README)
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QuixiAI/github2file — 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