RRepoGEO

REPOGEO REPORT · LITE

rynfar/meridian

Default branch main · commit 597a3042 · scanned 5/22/2026, 6:12:06 AM

GitHub: 1,290 stars · 149 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 rynfar/meridian, 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
    Add a clear H1/H2 to the README's opening

    Why:

    CURRENT
    The current README starts with HTML <p align> tags before the core description.
    COPY-PASTE FIX
    # Meridian: Claude Max Proxy for AI Coding Assistants
    
    Meridian bridges the Claude Code SDK to the standard Anthropic API. No OAuth interception. No binary patches. No hacks. Just pure, documented SDK calls. Any tool that speaks the Anthropic or OpenAI protocol — OpenCode, ForgeCode, Crush, Cline, Aider, Pi, Droid, Open WebUI, Claude Code — connects to Meridian and gets Claude, with session management, streaming, and prompt caching handled natively by the SDK.
  • hightopics#2
    Refine GitHub topics to emphasize core function

    Why:

    CURRENT
    ai-coding, aider, anthropic, bun, charmbracelet, claude, claude-agent-sdk, claude-max, cline, crush-cli, llm, opencode, opencode-plugin, pi-coding-agent, proxy, pylon-orchestrator, whatsapp-automation
    COPY-PASTE FIX
    ai-coding, anthropic, claude, claude-agent-sdk, claude-max, llm, proxy, aider, opencode, pi-coding-agent, cline, crush-cli, llm-proxy, anthropic-api
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of the MIT License. Also, add a line to your README, e.g., 'Meridian is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.'

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 rynfar/meridian
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-4o
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-4o · recommended 1×
  2. Anthropic Claude 3 Opus / Sonnet · recommended 1×
  3. Google Gemini 1.5 Pro · recommended 1×
  4. Azure OpenAI Service · recommended 1×
  5. GitHub Copilot · recommended 1×
  • CATEGORY QUERY
    How to use a premium large language model with multiple AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-4o
    2. Anthropic Claude 3 Opus / Sonnet
    3. Google Gemini 1.5 Pro
    4. Azure OpenAI Service
    5. GitHub Copilot
    6. GitHub Copilot Enterprise
    7. Cursor
    8. JetBrains AI Assistant
    9. JetBrains AI service
    10. CodeGPT (davila7/code-gpt)
    11. Continue (Continue-revolution/continue)
    12. Tabnine
    13. Cody by Sourcegraph (sourcegraph/cody)

    AI recommended 13 alternatives but never named rynfar/meridian. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a way to integrate an LLM's official SDK with tools expecting standard API protocols.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. FastAPI
    4. Pydantic
    5. Flask
    6. Marshmallow
    7. AWS Lambda
    8. Google Cloud Functions
    9. Azure Functions
    10. OpenAI Functions

    AI recommended 10 alternatives but never named rynfar/meridian. 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 rynfar/meridian?
    pass
    AI named rynfar/meridian explicitly

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

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

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

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rynfar/meridian — 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