RRepoGEO

REPOGEO REPORT · LITE

AstroPilot-AI/Denario

Default branch master · commit be88c9bc · scanned 5/31/2026, 8:11:44 PM

GitHub: 569 stars · 85 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 AstroPilot-AI/Denario, 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
    Clarify README's opening to explicitly state scientific focus and exclude finance

    Why:

    CURRENT
    Denario is a multiagent system designed to be a scientific research assistant.
    COPY-PASTE FIX
    Denario is a modular multi-agent system specifically designed as an AI assistant for **scientific research**, *not* financial analysis. It empowers researchers to automate tasks like literature review, data analysis, and paper generation.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    multi-agent-system, scientific-research, ai-agents, research-assistant, literature-review, data-analysis, langgraph, ag2, python, gpl-3
  • mediumreadme#3
    Add a dedicated section detailing scientific use cases and problems solved

    Why:

    COPY-PASTE FIX
    ## Scientific Applications & Problems Solved
Denario is engineered to tackle specific challenges in scientific workflows, including:
- **Automated Literature Review:** Efficiently sifting through vast scientific publications.
- **Advanced Data Analysis:** Leveraging `cmbagent` for complex research data processing.
- **Research Paper Generation:** Assisting in drafting and structuring scientific articles.
- **Modular Agent Development:** Providing a flexible framework for custom scientific AI agents.

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 AstroPilot-AI/Denario
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 1×
  2. Scite.ai · recommended 1×
  3. Connected Papers · recommended 1×
  4. ResearchRabbit · recommended 1×
  5. ChatGPT · recommended 1×
  • CATEGORY QUERY
    How can I use AI agents to automate scientific literature review and data analysis?
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Scite.ai
    3. Connected Papers
    4. ResearchRabbit
    5. ChatGPT
    6. GPT-4
    7. AutoGPT
    8. BabyAGI
    9. Semantic Scholar
    10. Zotero
    11. Mendeley

    AI recommended 11 alternatives but never named AstroPilot-AI/Denario. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks help build modular multi-agent systems for complex scientific tasks?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. SPADE
    3. NetLogo
    4. Anylogic
    5. GAMA
    6. AI Horde

    AI recommended 6 alternatives but never named AstroPilot-AI/Denario. 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 AstroPilot-AI/Denario?
    pass
    AI named AstroPilot-AI/Denario explicitly

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

  • If a team adopts AstroPilot-AI/Denario in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AstroPilot-AI/Denario 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 AstroPilot-AI/Denario solve, and who is the primary audience?
    pass
    AI named AstroPilot-AI/Denario 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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MARKDOWN (README)
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AstroPilot-AI/Denario — RepoGEO report