RRepoGEO

REPOGEO REPORT · LITE

NVlabs/ToolOrchestra

Default branch main · commit c1c0a400 · scanned 6/12/2026, 10:07:52 AM

GitHub: 741 stars · 102 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 NVlabs/ToolOrchestra, 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 opening to clearly state its framework purpose

    Why:

    COPY-PASTE FIX
    Add the following sentence directly after the main title in the README: "ToolOrchestra is an end-to-end RL training framework for orchestrating tools and agentic workflows."
  • mediumreadme#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., '## Comparison to Other Frameworks', explaining how ToolOrchestra's focus on end-to-end RL training and hierarchical orchestration for diverse tools differentiates it from other LLM agent and tool-use frameworks.
  • lowtopics#3
    Expand repository topics to include training and learning specifics

    Why:

    CURRENT
    agent, agentic-ai, deep-learning, large-language-models
    COPY-PASTE FIX
    agent, agentic-ai, deep-learning, large-language-models, reinforcement-learning, llm-training, tool-learning

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 NVlabs/ToolOrchestra
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. LlamaIndex · recommended 2×
  3. AutoGPT · recommended 2×
  4. Microsoft Semantic Kernel · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent that effectively uses multiple external tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. OpenAI Assistants API
    5. AutoGPT

    AI recommended 5 alternatives but never named NVlabs/ToolOrchestra. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for training large language models to orchestrate tool use?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Guidance
    4. OpenAI Function Calling
    5. Assistants API
    6. Haystack
    7. AutoGPT
    8. Transformers Agents

    AI recommended 8 alternatives but never named NVlabs/ToolOrchestra. 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 NVlabs/ToolOrchestra?
    pass
    AI named NVlabs/ToolOrchestra explicitly

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

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

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

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NVlabs/ToolOrchestra — 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