RRepoGEO

REPOGEO REPORT · LITE

ZhiYi-R/moon-bridge

Default branch main · commit f2d3d631 · scanned 6/11/2026, 2:58:42 PM

GitHub: 592 stars · 102 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 ZhiYi-R/moon-bridge, 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

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

OVERALL DIRECTION
  • mediumhomepage#1
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/ZhiYi-R/moon-bridge

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 ZhiYi-R/moon-bridge
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LiteLLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LiteLLM · recommended 2×
  2. OpenRouter.ai · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. MindsDB · recommended 1×
  • CATEGORY QUERY
    How can I route requests to different large language models using a single unified API?
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenRouter.ai
    3. LangChain
    4. LlamaIndex
    5. MindsDB
    6. Portkey.ai
    7. Helicone.ai

    AI recommended 7 alternatives but never named ZhiYi-R/moon-bridge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Go proxy to convert OpenAI API requests for Anthropic or Gemini backends.
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenAI-Proxy
    3. Go-LLM-Proxy
    4. OpenAI-to-Anthropic-Proxy

    AI recommended 4 alternatives but never named ZhiYi-R/moon-bridge. 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 ZhiYi-R/moon-bridge?
    pass
    AI did not name ZhiYi-R/moon-bridge — 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 ZhiYi-R/moon-bridge in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ZhiYi-R/moon-bridge 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 ZhiYi-R/moon-bridge solve, and who is the primary audience?
    pass
    AI did not name ZhiYi-R/moon-bridge — 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

Drop this badge into the README of ZhiYi-R/moon-bridge. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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ZhiYi-R/moon-bridge — 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