RRepoGEO

REPOGEO REPORT · LITE

Rath-Team/OpenRath

Default branch main · commit fc0ee661 · scanned 6/17/2026, 4:16:54 AM

GitHub: 548 stars · 10 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 Rath-Team/OpenRath, 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 sentence for immediate clarity

    Why:

    CURRENT
    OpenRath is a PyTorch-like multi-agent & multi-session framework.**
    COPY-PASTE FIX
    OpenRath is a PyTorch-like open-source framework for building and orchestrating dynamic multi-agent AI workflows and conversational systems.
  • mediumhomepage#2
    Add the official documentation URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://docs.openrath.com

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 Rath-Team/OpenRath
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. CrewAI · recommended 2×
  3. Haystack · recommended 2×
  4. AutoGen · recommended 1×
  5. SPADE · recommended 1×
  • CATEGORY QUERY
    What are some Python frameworks for building dynamic multi-agent AI workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. SPADE
    6. Mesa

    AI recommended 6 alternatives but never named Rath-Team/OpenRath. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to manage conversational state and inter-agent collaboration in Python.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Haystack
    3. Magentic
    4. CrewAI
    5. DSPy
    6. LlamaIndex
    7. Guidance

    AI recommended 7 alternatives but never named Rath-Team/OpenRath. 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 Rath-Team/OpenRath?
    pass
    AI named Rath-Team/OpenRath explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite