RRepoGEO

REPOGEO REPORT · LITE

Ar9av/PaperOrchestra

Default branch main · commit d741f516 · scanned 6/15/2026, 9:51:51 PM

GitHub: 581 stars · 79 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 Ar9av/PaperOrchestra, 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 H1 to specify automated paper writing

    Why:

    CURRENT
    # PaperOrchestra
    COPY-PASTE FIX
    # PaperOrchestra: Automated AI Research Paper Writer (Skill Pack for Coding Agents)
  • mediumreadme#2
    Add a 'Key Differentiators' section to highlight unique value proposition

    Why:

    COPY-PASTE FIX
    ## Key Differentiators

Unlike traditional LLM orchestration frameworks, PaperOrchestra is a *skill pack* designed for *existing coding agents*. This means:
- **No API keys or LLM SDKs required:** Your coding agent (e.g., Claude Code, Cursor, Antigravity) handles all LLM reasoning and web search using its own tools.
- **Agent-agnostic:** Pluggable skills work with any coding agent capable of executing instructions.
- **Focus on paper generation:** Specifically implements the multi-agent pipeline from the PaperOrchestra research paper for automated LaTeX paper writing.
  • lowlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [Insert specific license name(s) here, e.g., 'a custom license combining elements of X and Y']. Please refer to the `LICENSE` file for full 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 Ar9av/PaperOrchestra
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Elicit · recommended 1×
  3. Semantic Scholar · recommended 1×
  4. Connected Papers · recommended 1×
  5. ResearchRabbit · recommended 1×
  • CATEGORY QUERY
    What are effective tools for automatically generating research papers, including literature reviews, in LaTeX format?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Elicit
    3. Semantic Scholar
    4. Connected Papers
    5. ResearchRabbit
    6. Overleaf
    7. SciSpace

    AI recommended 7 alternatives but never named Ar9av/PaperOrchestra. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a multi-agent framework to orchestrate coding agents for automated scientific paper composition.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex
    6. Open Interpreter
    7. AgentVerse

    AI recommended 7 alternatives but never named Ar9av/PaperOrchestra. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 Ar9av/PaperOrchestra?
    pass
    AI named Ar9av/PaperOrchestra explicitly

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

  • If a team adopts Ar9av/PaperOrchestra in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Ar9av/PaperOrchestra 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 Ar9av/PaperOrchestra solve, and who is the primary audience?
    pass
    AI named Ar9av/PaperOrchestra explicitly

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

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Ar9av/PaperOrchestra — RepoGEO report