RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/DeepSeek-Coder-V2

Default branch main · commit a2b4e0a2 · scanned 5/12/2026, 7:58:11 PM

GitHub: 6,737 stars · 1,079 forks

AI VISIBILITY SCORE
35 /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
3 / 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/DeepSeek-Coder-V2, 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
    llm, code-generation, code-analysis, large-language-model, deep-learning, ai-model, developer-tools, open-source-llm, transformer, context-window
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://www.deepseek.com/
  • lowreadme#3
    Add a concise introductory sentence at the very top of the README

    Why:

    CURRENT
    The README currently starts with a series of centered divs and links before the H1.
    COPY-PASTE FIX
    DeepSeek-Coder-V2 is an open-source large language model designed for advanced code generation, analysis, and developer productivity, featuring an exceptionally large 128K context window.

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/DeepSeek-Coder-V2
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. StarCoder2 · recommended 2×
  3. DeepSeek-Coder · recommended 1×
  4. Phind-CodeLlama · recommended 1×
  5. WizardCoder · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source large language model for code generation and analysis.
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. DeepSeek-Coder
    3. StarCoder2
    4. Phind-CodeLlama
    5. WizardCoder
    6. SantaCoder

    AI recommended 6 alternatives but never named deepseek-ai/DeepSeek-Coder-V2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best local LLMs for improving developer productivity with coding tasks?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. Phi-2
    3. DeepSeek Coder
    4. StarCoder2
    5. Mistral 7B Instruct v0.2
    6. llama.cpp

    AI recommended 6 alternatives but never named deepseek-ai/DeepSeek-Coder-V2. 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 deepseek-ai/DeepSeek-Coder-V2?
    pass
    AI named deepseek-ai/DeepSeek-Coder-V2 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/DeepSeek-Coder-V2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/DeepSeek-Coder-V2 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/DeepSeek-Coder-V2 solve, and who is the primary audience?
    pass
    AI named deepseek-ai/DeepSeek-Coder-V2 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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deepseek-ai/DeepSeek-Coder-V2 — 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