RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/awesome-deepseek-coder

Default branch main · commit f77c511d · scanned 6/5/2026, 5:07:38 PM

GitHub: 790 stars · 211 forks

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 deepseek-ai/awesome-deepseek-coder, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the chosen license text (e.g., MIT, Apache-2.0).
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Set the homepage URL to 'https://github.com/deepseek-ai/awesome-deepseek-coder' or a more specific project page if one exists.

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 deepseek-ai/awesome-deepseek-coder
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 1×
  2. DeepSeek Coder · recommended 1×
  3. StarCoder2 · recommended 1×
  4. Phind-CodeLlama · recommended 1×
  5. WizardCoder · recommended 1×
  • CATEGORY QUERY
    What are the best open-source large language models for generating and assisting with code?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. DeepSeek Coder
    3. StarCoder2
    4. Phind-CodeLlama
    5. WizardCoder
    6. Mistral 7B Instruct
    7. Mixtral 8x7B Instruct

    AI recommended 7 alternatives but never named deepseek-ai/awesome-deepseek-coder. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find community-driven projects and fine-tuned models for programming AI assistants?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. GitHub
    3. Kaggle
    4. Papers With Code
    5. OpenAI Cookbook
    6. LangChain

    AI recommended 6 alternatives but never named deepseek-ai/awesome-deepseek-coder. 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 deepseek-ai/awesome-deepseek-coder?
    pass
    AI named deepseek-ai/awesome-deepseek-coder explicitly

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

  • If a team adopts deepseek-ai/awesome-deepseek-coder in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/awesome-deepseek-coder 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 deepseek-ai/awesome-deepseek-coder solve, and who is the primary audience?
    pass
    AI did not name deepseek-ai/awesome-deepseek-coder — 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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deepseek-ai/awesome-deepseek-coder — 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