RRepoGEO

REPOGEO REPORT · LITE

Code-and-Sorts/awesome-copilot-agents

Default branch main · commit a26d912e · scanned 6/3/2026, 10:12:46 AM

GitHub: 530 stars · 80 forks

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 Code-and-Sorts/awesome-copilot-agents, 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 core value proposition to README H1

    Why:

    CURRENT
    #
    
    <div align="center">
      
    </div>
    
    <h4 align="center">✨ A curated list of awesome GitHub instructions, prompt, skills, MCPs and custom agent markdown files for enhancing your GitHub Copilot AI experience.</h4>
    COPY-PASTE FIX
    # ✨ Awesome Copilot Agents
    
    A curated list of GitHub instructions, prompts, skills, MCPs, and custom agent markdown files to enhance your GitHub Copilot AI experience.
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Code-and-Sorts/awesome-copilot-agents
  • mediumreadme#3
    Add explicit audience and purpose statement to README

    Why:

    CURRENT
    The README excerpt's initial content, which focuses on *what* it is, but not explicitly *who it's for* in the very first lines.
    COPY-PASTE FIX
    Add this sentence immediately after the initial description: "This collection is for developers looking to customize, optimize, and extend their GitHub Copilot experience, providing practical resources rather than tools for building AI agents."

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 Code-and-Sorts/awesome-copilot-agents
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. chroma-core/chroma · recommended 1×
  4. Pinecone · recommended 1×
  5. facebookresearch/faiss · recommended 1×
  • CATEGORY QUERY
    How can I customize my AI coding assistant's responses for specific project requirements?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain (langchain-ai/langchain)
    3. Chroma (chroma-core/chroma)
    4. Pinecone
    5. FAISS (facebookresearch/faiss)
    6. LlamaIndex (run-llama/llama_index)
    7. Hugging Face Transformers (huggingface/transformers)
    8. CodeLlama
    9. StarCoder
    10. Mistral
    11. Anthropic
    12. Google Gemini

    AI recommended 12 alternatives but never named Code-and-Sorts/awesome-copilot-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find effective prompts and agent configurations to optimize my AI code generation?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide (dair-ai/Prompt-Engineering-Guide)
    2. Awesome-Prompts (f/awesome-prompts)
    3. OpenAI Cookbook
    4. LangChain
    5. LlamaIndex
    6. Hugging Face Transformers Agents
    7. DeepLearning.AI Courses

    AI recommended 7 alternatives but never named Code-and-Sorts/awesome-copilot-agents. 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 Code-and-Sorts/awesome-copilot-agents?
    pass
    AI did not name Code-and-Sorts/awesome-copilot-agents — 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 Code-and-Sorts/awesome-copilot-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Code-and-Sorts/awesome-copilot-agents 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 Code-and-Sorts/awesome-copilot-agents solve, and who is the primary audience?
    pass
    AI did not name Code-and-Sorts/awesome-copilot-agents — 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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Code-and-Sorts/awesome-copilot-agents — 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