RRepoGEO

REPOGEO REPORT · LITE

suyoumo/ClawProBench

Default branch main · commit 1d7a2bda · scanned 6/8/2026, 7:47:02 AM

GitHub: 697 stars · 50 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 suyoumo/ClawProBench, 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 statement to specify LLM agents

    Why:

    CURRENT
    > Transparent live-first benchmark harness for evaluating model capability inside the OpenClaw runtime.
    COPY-PASTE FIX
    > Transparent live-first benchmark harness for evaluating **LLM agent capability** inside the OpenClaw runtime.
  • mediumreadme#2
    Add a sentence to the README intro about project scope and industry involvement

    Why:

    COPY-PASTE FIX
    With 102 active scenarios and support from industry partners like Kimi, Qwen, LongCat, Ant Ling, and MiMo, ClawProBench offers robust and transparent evaluation.
  • mediumtopics#3
    Refine topics for more specific LLM agent evaluation

    Why:

    CURRENT
    agent, benchmark, evaluation, harness, leaderboard, llm, openclaw
    COPY-PASTE FIX
    llm-agents, agent-benchmarking, llm-evaluation, openclaw, benchmark-harness, leaderboard

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 suyoumo/ClawProBench
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain with LangSmith
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain with LangSmith · recommended 1×
  2. mlflow/mlflow · recommended 1×
  3. Arize-AI/phoenix · recommended 1×
  4. wandb/wandb · recommended 1×
  5. EleutherAI/lm-evaluation-harness · recommended 1×
  • CATEGORY QUERY
    How to reliably benchmark large language model agents in a live execution environment?
    you: not recommended
    AI recommended (in order):
    1. LangChain with LangSmith
    2. MLflow (mlflow/mlflow)
    3. Arize AI (Phoenix) (Arize-AI/phoenix)
    4. Weights & Biases (W&B Prompts) (wandb/wandb)
    5. LM-Harness (EleutherAI/lm-evaluation-harness)
    6. HELM (stanford-crfm/helm)

    AI recommended 6 alternatives but never named suyoumo/ClawProBench. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for deterministic performance evaluation of LLM agent capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain Evaluation
    2. LlamaIndex Evaluation
    3. OpenAI Evals
    4. DeepMind's AlphaCode Problem Set
    5. HumanEval / MBPP
    6. Pytest
    7. Jest
    8. AgentBench

    AI recommended 8 alternatives but never named suyoumo/ClawProBench. 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 suyoumo/ClawProBench?
    pass
    AI named suyoumo/ClawProBench explicitly

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

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

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

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suyoumo/ClawProBench — 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