RRepoGEO

REPOGEO REPORT · LITE

TIGER-AI-Lab/verl-tool

Default branch main · commit 980962b4 · scanned 6/15/2026, 10:17:04 PM

GitHub: 1,000 stars · 83 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 TIGER-AI-Lab/verl-tool, 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 README H3 to explicitly mention LLM agents

    Why:

    CURRENT
    <h3 align="center"> VerlTool: A unified and easy-to-extend tool-agent training framework based on verl. </h3>
    COPY-PASTE FIX
    <h3 align="center"> VerlTool: A unified and easy-to-extend framework for training Large Language Model (LLM) agents to effectively use diverse tools, built upon verl. </h3>
  • mediumtopics#2
    Add more specific topics for LLM agents and tool use

    Why:

    CURRENT
    agent, learning, llm, reinforcement
    COPY-PASTE FIX
    agent, learning, llm, reinforcement, llm-agents, tool-use, agent-training
  • lowabout#3
    Expand the repository description

    Why:

    CURRENT
    A version of verl to support diverse tool use [TMLR 2026]
    COPY-PASTE FIX
    VerlTool is a unified and easy-to-extend framework for training Large Language Model (LLM) agents to effectively utilize diverse external tools. It builds upon the verl foundation to empower LLM agents in complex tool-use scenarios. [TMLR 2026]

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 TIGER-AI-Lab/verl-tool
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. run-llama/llama_index · recommended 2×
  3. OpenAI Function Calling · recommended 1×
  4. Significant-Gravitas/AutoGPT · recommended 1×
  5. yoheinakajima/babyagi · recommended 1×
  • CATEGORY QUERY
    How can I train large language model agents to effectively utilize various external tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. OpenAI Function Calling
    4. AutoGPT (Significant-Gravitas/AutoGPT)
    5. BabyAGI (yoheinakajima/babyagi)
    6. Hugging Face Transformers Agents (huggingface/transformers)
    7. Microsoft Guidance (microsoft/guidance)

    AI recommended 7 alternatives but never named TIGER-AI-Lab/verl-tool. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework simplifies building and extending LLM agents for complex tool-use scenarios?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. AutoGen (microsoft/autogen)
    5. CrewAI (joaomdmoura/crewai)
    6. Semantic Kernel (microsoft/semantic-kernel)

    AI recommended 6 alternatives but never named TIGER-AI-Lab/verl-tool. 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 TIGER-AI-Lab/verl-tool?
    pass
    AI named TIGER-AI-Lab/verl-tool explicitly

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

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

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

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TIGER-AI-Lab/verl-tool — 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