RRepoGEO

REPOGEO REPORT · LITE

bin123apple/AutoCoder

Default branch main · commit a51540e7 · scanned 5/29/2026, 10:53:17 PM

GitHub: 850 stars · 72 forks

AI VISIBILITY SCORE
40 /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
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 bin123apple/AutoCoder, 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 key differentiators in README's opening

    Why:

    CURRENT
    The README starts with # AutoCoder followed by ## News :fire: and ## Introduction :mega:.
    COPY-PASTE FIX
    Add the following text directly after `# AutoCoder` and before `## News :fire:`:
"AutoCoder is a state-of-the-art code generation model that surpasses GPT-4 Turbo (April 2024) on HumanEval, featuring an innovative code interpreter that automatically installs required packages and iteratively runs code until issues are resolved."
  • mediumtopics#2
    Add specific AI agent topics

    Why:

    CURRENT
    code-generation, code-interpreter, humaneval, llm, nlp, nlp-machine-learning, text-generation
    COPY-PASTE FIX
    code-generation, code-interpreter, humaneval, llm, nlp, nlp-machine-learning, text-generation, autonomous-agent, ai-agent
  • mediumreadme#3
    Clarify autonomous agent capabilities in README's introduction

    Why:

    CURRENT
    The 'Introduction' section primarily focuses on 'Code generation task' and the 'code interpreter' features.
    COPY-PASTE FIX
    In the 'Introduction' section, after describing the code interpreter, add a sentence like: "Functioning as an autonomous agent, AutoCoder goes beyond simple generation and interpretation, capable of iteratively planning, executing, testing, and self-correcting code to achieve robust solutions."

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 bin123apple/AutoCoder
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Code Llama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 2×
  2. GPT-4 · recommended 1×
  3. Claude 3 Opus · recommended 1×
  4. DeepSeek Coder · recommended 1×
  5. StarCoder2 · recommended 1×
  • CATEGORY QUERY
    What open-source models generate highly accurate code, surpassing commercial LLMs on benchmarks?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Code Llama
    4. DeepSeek Coder
    5. StarCoder2
    6. WizardCoder
    7. Phi-3-mini
    8. GPT-4 Turbo

    AI recommended 8 alternatives but never named bin123apple/AutoCoder. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a code generation tool with an interpreter that automatically installs dependencies for execution.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue (continue-ui/continue)
    3. Jupyter Notebooks / JupyterLab
    4. Jupyter AI (jupyterlab/jupyter-ai)
    5. Code Llama
    6. GitHub Copilot Chat
    7. Replit

    AI recommended 7 alternatives but never named bin123apple/AutoCoder. 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 bin123apple/AutoCoder?
    pass
    AI named bin123apple/AutoCoder explicitly

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

  • If a team adopts bin123apple/AutoCoder in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bin123apple/AutoCoder 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 bin123apple/AutoCoder solve, and who is the primary audience?
    pass
    AI named bin123apple/AutoCoder explicitly

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

Embed your GEO score

Drop this badge into the README of bin123apple/AutoCoder. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/bin123apple/AutoCoder"><img src="https://repogeo.com/badge/bin123apple/AutoCoder.svg" alt="RepoGEO" /></a>
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bin123apple/AutoCoder — 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