RRepoGEO

REPOGEO REPORT · LITE

CodedotAl/gpt-code-clippy

Default branch camera-ready · commit dbd69e55 · scanned 7/1/2026, 8:37:55 PM

GitHub: 3,267 stars · 217 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
22 /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
1 / 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 CodedotAl/gpt-code-clippy, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise About description

    Why:

    CURRENT
    Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57
    COPY-PASTE FIX
    An open-source, self-hosted alternative to GitHub Copilot, providing AI-powered code generation and completion using large language models.
  • mediumreadme#2
    Strengthen README's opening statement for self-hosted use

    Why:

    CURRENT
    # GPT-Code-Clippy (GPT-CC)
    **Please refer to our new GitHub Wiki which documents our efforts in detail in creating the open source version of GitHub Copilot**
    COPY-PASTE FIX
    # GPT-Code-Clippy (GPT-CC)
    An open-source, self-hosted alternative to GitHub Copilot, GPT-Code-Clippy provides AI-powered code generation and completion. Our goal is to empower developers with a local, customizable AI pair programmer. Please refer to our new GitHub Wiki which documents our efforts in detail in creating this open source version of GitHub Copilot.

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 CodedotAl/gpt-code-clippy
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. Phind-CodeLlama · recommended 2×
  3. StarCoder / StarCoder2 · recommended 1×
  4. DeepSeek Coder · recommended 1×
  5. WizardCoder · recommended 1×
  • CATEGORY QUERY
    Seeking an open source alternative for AI-powered code generation and completion?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. StarCoder / StarCoder2
    3. DeepSeek Coder
    4. Phind-CodeLlama
    5. WizardCoder
    6. SantaCoder

    AI recommended 6 alternatives but never named CodedotAl/gpt-code-clippy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for a local or self-hosted AI pair programmer?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. Ollama
    3. LM Studio
    4. Phind-CodeLlama
    5. Continue
    6. Tabby
    7. LocalAI
    8. FauxPilot

    AI recommended 8 alternatives but never named CodedotAl/gpt-code-clippy. 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 CodedotAl/gpt-code-clippy?
    pass
    AI did not name CodedotAl/gpt-code-clippy — 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 CodedotAl/gpt-code-clippy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named CodedotAl/gpt-code-clippy 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 CodedotAl/gpt-code-clippy solve, and who is the primary audience?
    pass
    AI did not name CodedotAl/gpt-code-clippy — 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?

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CodedotAl/gpt-code-clippy — 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