RRepoGEO

REPOGEO REPORT · LITE

wsxiaoys/awesome-ai-coding

Default branch main · commit a45b31b4 · scanned 6/1/2026, 12:39:05 AM

GitHub: 768 stars · 103 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 wsxiaoys/awesome-ai-coding, 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 the README's opening to clearly state it's a curated list

    Why:

    CURRENT
    A list of AI coding topics.
    COPY-PASTE FIX
    This is a curated list of awesome AI coding tools, resources, models, and frameworks for developers and programmers.
  • mediumtopics#2
    Expand and refine repository topics

    Why:

    CURRENT
    ai, awesome, awesome-list, coding, copilot
    COPY-PASTE FIX
    ai, awesome, awesome-list, coding, copilot, ai-development, ai-tools, generative-ai, programming-tools, resource-list, code-generation
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/wsxiaoys/awesome-ai-coding

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 wsxiaoys/awesome-ai-coding
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tabbyml/tabby
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tabbyml/tabby · recommended 1×
  2. CodeGPTApp/CodeGPT · recommended 1×
  3. FauxPilot/FauxPilot · recommended 1×
  4. continue-ui/continue · recommended 1×
  5. go-skynet/LocalAI · recommended 1×
  • CATEGORY QUERY
    What are some open-source self-hosted alternatives for AI-powered code completion?
    you: not recommended
    AI recommended (in order):
    1. Tabby (tabbyml/tabby)
    2. CodeGPT (CodeGPTApp/CodeGPT)
    3. FauxPilot (FauxPilot/FauxPilot)
    4. Continue (continue-ui/continue)
    5. LocalAI (go-skynet/LocalAI)
    6. Ollama (ollama/ollama)

    AI recommended 6 alternatives but never named wsxiaoys/awesome-ai-coding. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate AI language models directly into my development environment for coding tasks?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. Codeium
    4. JetBrains AI Assistant
    5. Amazon CodeWhisperer
    6. OpenAI API
    7. Llama 2
    8. Code Llama
    9. Ollama
    10. LM Studio

    AI recommended 10 alternatives but never named wsxiaoys/awesome-ai-coding. 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 wsxiaoys/awesome-ai-coding?
    pass
    AI did not name wsxiaoys/awesome-ai-coding — 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 wsxiaoys/awesome-ai-coding in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wsxiaoys/awesome-ai-coding 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 wsxiaoys/awesome-ai-coding solve, and who is the primary audience?
    pass
    AI did not name wsxiaoys/awesome-ai-coding — 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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wsxiaoys/awesome-ai-coding — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite