RRepoGEO

REPOGEO REPORT · LITE

Vizards/deepseek-v4-for-copilot

Default branch main · commit 5263ab23 · scanned 6/17/2026, 12:51:39 AM

GitHub: 938 stars · 87 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 Vizards/deepseek-v4-for-copilot, 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
  • highreadme#1
    Reposition the README's opening paragraph to explicitly state it's a VS Code extension

    Why:

    CURRENT
    Pick DeepSeek V4 from the Copilot Chat model picker — and keep everything else Copilot already gives you.
    COPY-PASTE FIX
    This VS Code extension seamlessly integrates DeepSeek V4 Pro & Flash directly into your GitHub Copilot Chat model picker. It allows you to leverage DeepSeek's advanced capabilities, including vision and thinking mode, while retaining all of Copilot's existing features like agent mode, tool calling, and its polished UI. Don't replace Copilot — power it up.
  • mediumreadme#2
    Clarify the "BYOK" section to emphasize integration over replacement

    Why:

    CURRENT
    BYOK, pay DeepSeek directly. Your API key, your bill, your rate limits. Stored in the OS keychain, never on disk.
    COPY-PASTE FIX
    BYOK (Bring Your Own Key), pay DeepSeek directly. This extension uses your own DeepSeek API key, meaning your billing and rate limits are managed directly with DeepSeek. This offers transparency and control over your usage, all while DeepSeek powers your Copilot Chat experience.

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 Vizards/deepseek-v4-for-copilot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. OpenAI API · recommended 2×
  3. Anthropic API · recommended 2×
  4. LangChain · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How can I integrate alternative large language models into my existing code assistant?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI API
    5. LiteLLM
    6. Google AI SDK
    7. Anthropic API

    AI recommended 7 alternatives but never named Vizards/deepseek-v4-for-copilot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a way to upgrade my AI coding assistant with new models while keeping its features.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic API
    3. Google Cloud Vertex AI
    4. Hugging Face Transformers
    5. Microsoft Azure OpenAI Service
    6. LocalAI
    7. Ollama

    AI recommended 7 alternatives but never named Vizards/deepseek-v4-for-copilot. 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 Vizards/deepseek-v4-for-copilot?
    pass
    AI did not name Vizards/deepseek-v4-for-copilot — 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 Vizards/deepseek-v4-for-copilot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Vizards/deepseek-v4-for-copilot 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 Vizards/deepseek-v4-for-copilot solve, and who is the primary audience?
    pass
    AI did not name Vizards/deepseek-v4-for-copilot — 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?

Embed your GEO score

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Vizards/deepseek-v4-for-copilot — 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