RRepoGEO

REPOGEO REPORT · LITE

SamuelQZQ/auto-coding-agent-demo

Default branch main · commit cdfb5a11 · scanned 5/23/2026, 7:47:48 AM

GitHub: 1,008 stars · 380 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 SamuelQZQ/auto-coding-agent-demo, 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 to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agent, auto-coding, llm-development, programming-experiment, full-stack-ai, ai-demonstration
  • highlicense#2
    Add a LICENSE file and mention it in the README

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the root directory. Add a line to the README under a 'License' section: 'This project is licensed under the [Your Chosen License Name] License - see the LICENSE file for details.'
  • highabout#3
    Expand the 'About' description to clarify its experimental nature

    Why:

    CURRENT
    一个长达 10 小时的 AI 全自动编程实验
    COPY-PASTE FIX
    一个长达 10 小时的 AI 全自动编程实验，旨在探索和演示 AI Agent 如何自主完成复杂全栈应用的开发，而非一个生产工具。它展示了AI在代码生成、任务管理和测试验证方面的潜力。

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 SamuelQZQ/auto-coding-agent-demo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. GitHub Copilot X · recommended 1×
  4. OpenAI's GPT-4 · recommended 1×
  5. ChatGPT Plus · recommended 1×
  • CATEGORY QUERY
    How can I use an AI agent to autonomously develop a full-stack application?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitHub Copilot X
    3. Cursor
    4. OpenAI's GPT-4
    5. ChatGPT Plus
    6. LangChain
    7. LlamaIndex
    8. Smol-developer
    9. Aider

    AI recommended 9 alternatives but never named SamuelQZQ/auto-coding-agent-demo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to experiment with AI generating entire project codebases and managing development tasks.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. GitHub Copilot Workspace
    3. OpenAI API
    4. Code Llama / Llama 2
    5. Replit AI
    6. Tabnine

    AI recommended 6 alternatives but never named SamuelQZQ/auto-coding-agent-demo. 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 SamuelQZQ/auto-coding-agent-demo?
    pass
    AI named SamuelQZQ/auto-coding-agent-demo explicitly

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

  • If a team adopts SamuelQZQ/auto-coding-agent-demo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SamuelQZQ/auto-coding-agent-demo 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 SamuelQZQ/auto-coding-agent-demo solve, and who is the primary audience?
    pass
    AI did not name SamuelQZQ/auto-coding-agent-demo — 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?

Embed your GEO score

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SamuelQZQ/auto-coding-agent-demo — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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SamuelQZQ/auto-coding-agent-demo — RepoGEO report