RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/DeepSeek-Coder-V2

Default branch main · commit a2b4e0a2 · scanned 6/23/2026, 4:43:03 AM

GitHub: 6,857 stars · 1,091 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
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

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

OVERALL DIRECTION
  • highhomepage#1
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://www.deepseek.com/
  • mediumreadme#2
    Clarify distinct licenses for code and model in README

    Why:

    COPY-PASTE FIX
    The code in this repository is released under the MIT License (see [LICENSE-CODE](https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-CODE)). Please refer to [LICENSE-MODEL](https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL) for the specific terms governing the use of the DeepSeek-Coder-V2 model.

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. DeepSeek Coder · recommended 2×
  3. WizardCoder · recommended 2×
  4. SantaCoder · recommended 2×
  5. StarCoder2 · recommended 1×
  • CATEGORY QUERY
    I need an open-source model for generating and understanding code.
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. DeepSeek Coder
    3. StarCoder2
    4. WizardCoder
    5. Phi-2
    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 good alternatives to proprietary code generation AI for developers?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. Phind-CodeLlama
    3. StarCoder / StarCoder2
    4. DeepSeek Coder
    5. WizardCoder
    6. SantaCoder
    7. Ollama
    8. LM Studio
    9. Hugging Face Transformers

    AI recommended 9 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?

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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