RRepoGEO

REPOGEO REPORT · LITE

mengjian-github/copilot-analysis

Default branch main · commit 6def6708 · scanned 5/21/2026, 4:33:32 AM

GitHub: 2,208 stars · 253 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 mengjian-github/copilot-analysis, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    github-copilot, reverse-engineering, vscode-extension, ai-code-completion, machine-learning, code-analysis, deep-dive, implementation-details
  • highlicense#2
    Add a standard open-source LICENSE file

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.
  • mediumreadme#3
    Add a concise project summary after the main title

    Why:

    CURRENT
    ## 背景
    COPY-PASTE FIX
    本文档详细记录了对 Github Copilot VSCode 插件的逆向工程分析过程，深入探索了其实现原理、代码提示逻辑、缓存策略及实验特性。本项目的目标是揭示 Copilot 的内部工作机制，为研究人员和开发者提供一个深入理解 AI 代码补全工具的资源。

## 背景

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 mengjian-github/copilot-analysis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Codex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Codex · recommended 1×
  2. GitHub Copilot · recommended 1×
  3. Google's PaLM 2 · recommended 1×
  4. Meta's Llama · recommended 1×
  5. Tabnine · recommended 1×
  • CATEGORY QUERY
    How do AI-driven code completion tools implement their suggestion and learning algorithms?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Codex
    2. GitHub Copilot
    3. Google's PaLM 2
    4. Meta's Llama
    5. Tabnine
    6. CodeWhisperer (Amazon)
    7. JetBrains AI Assistant
    8. Google Cloud Code (with Duet AI)

    AI recommended 8 alternatives but never named mengjian-github/copilot-analysis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective methods for reverse engineering proprietary AI coding assistant VSCode extensions?
    you: not recommended
    AI recommended (in order):
    1. ILSpy
    2. Jadx
    3. Ghidra
    4. IDA Pro
    5. js-beautify
    6. Prettier
    7. Burp Suite
    8. OWASP ZAP
    9. Wireshark
    10. VS Code Debugger
    11. Node.js Debugger
    12. Frida
    13. Xposed
    14. DynamoRIO
    15. PinTool
    16. Procmon
    17. auditd
    18. dtruss
    19. strings utility
    20. VirtualBox
    21. VMware

    AI recommended 21 alternatives but never named mengjian-github/copilot-analysis. 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 mengjian-github/copilot-analysis?
    pass
    AI did not name mengjian-github/copilot-analysis — 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 mengjian-github/copilot-analysis in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mengjian-github/copilot-analysis 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 mengjian-github/copilot-analysis solve, and who is the primary audience?
    pass
    AI named mengjian-github/copilot-analysis explicitly

    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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MARKDOWN (README)
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mengjian-github/copilot-analysis — 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