RRepoGEO

REPOGEO REPORT · LITE

BiFangKNT/mtga

Default branch tauri · commit e274e879 · scanned 5/24/2026, 5:12:13 AM

GitHub: 1,178 stars · 130 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 BiFangKNT/mtga, 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 core purpose statement to the very top

    Why:

    CURRENT
    The README starts with `# MTGA` followed by a picture and language links, with the core purpose explained under `## 简介`.
    COPY-PASTE FIX
    Add the following sentence directly after the `# MTGA` title: "MTGA is a local proxy solution for IDEs to integrate various Large Language Models (LLMs) and bypass fixed model service provider restrictions, compatible with Windows and macOS."
  • hightopics#2
    Add relevant topics to improve categorization and recall

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, ide, proxy, local-llm, generative-ai, ai-assistant, development-tools, openai-api, anthropic, gemini
  • mediumabout#3
    Update the repository description to a clear English statement

    Why:

    CURRENT
    基于本地代理的方式，绕过 IDE 的固定模型服务商限制
    COPY-PASTE FIX
    A local proxy solution for IDEs to integrate various Large Language Models (LLMs) and bypass fixed model service provider restrictions.

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 BiFangKNT/mtga
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 2×
  2. Cursor · recommended 1×
  3. OpenAI · recommended 1×
  4. Anthropic · recommended 1×
  5. Google Gemini · recommended 1×
  • CATEGORY QUERY
    How can I use different LLM providers with my IDE's built-in AI features?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. OpenAI
    3. Anthropic
    4. Google Gemini
    5. Ollama
    6. CodeGPT
    7. Continue
    8. GitHub Copilot Chat
    9. Azure OpenAI
    10. Hugging Face
    11. Perplexity
    12. LM Studio
    13. JetBrains AI Assistant
    14. nvim-cmp
    15. llm.nvim
    16. Copilot.vim
    17. llm.el
    18. copilot.el

    AI recommended 18 alternatives but never named BiFangKNT/mtga. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a local proxy solution to integrate multiple large language models into IDEs.
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter
    2. LiteLLM
    3. LocalAI
    4. Ollama
    5. FastChat
    6. NGINX
    7. Caddy

    AI recommended 7 alternatives but never named BiFangKNT/mtga. 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 BiFangKNT/mtga?
    pass
    AI named BiFangKNT/mtga explicitly

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

  • If a team adopts BiFangKNT/mtga in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BiFangKNT/mtga 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 BiFangKNT/mtga solve, and who is the primary audience?
    pass
    AI named BiFangKNT/mtga 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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BiFangKNT/mtga — 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