RRepoGEO

REPOGEO REPORT · LITE

agentscope-ai/OpenJudge

Default branch main · commit 2fa9a94a · scanned 6/5/2026, 11:17:09 AM

GitHub: 638 stars · 54 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 agentscope-ai/OpenJudge, 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
    Refine README's opening statement to emphasize specialized evaluation and reward generation

    Why:

    CURRENT
    OpenJudge is an **open-source evaluation framework** for **AI applications** (e.g., AI agents or chatbots) designed to **evaluate quality** and drive **continuous application optimization**.
    COPY-PASTE FIX
    OpenJudge is a specialized **open-source evaluation framework** for **AI applications** (e.g., AI agents or chatbots), distinct from general agent development libraries. It focuses on **holistic quality evaluation** and generating **quality reward signals** to drive continuous application optimization and fine-tuning.
  • mediumtopics#2
    Add more specific evaluation and framework-related topics

    Why:

    CURRENT
    agent, agent-skills, ai-agent, alignment, evaluation, grader, llm, reward, reward-model, rlhf, skill-md, skills
    COPY-PASTE FIX
    agent, agent-skills, ai-agent, alignment, evaluation, grader, llm, reward, reward-model, rlhf, skill-md, skills, agent-evaluation, llm-evaluation, evaluation-framework, model-evaluation
  • mediumcomparison#3
    Add a 'Comparison with Other Tools' section to the README

    Why:

    COPY-PASTE FIX
    ## 🆚 Comparison with Other Tools
    
    OpenJudge is a specialized evaluation framework, distinct from general-purpose agent development libraries like LangChain or LlamaIndex, which focus on building agents rather than comprehensive evaluation. While tools like Argilla or Humanloop provide data labeling for human feedback, OpenJudge focuses on automated, holistic quality evaluation and generating reward signals directly from grading results for application optimization.

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 agentscope-ai/OpenJudge
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI Evals · recommended 1×
  4. DeepMind OpenSpiel · recommended 1×
  5. RLlib · recommended 1×
  • CATEGORY QUERY
    What open-source framework helps evaluate the quality and performance of AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Evals
    4. DeepMind OpenSpiel
    5. RLlib
    6. Faraday

    AI recommended 6 alternatives but never named agentscope-ai/OpenJudge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a tool to generate quality reward signals for fine-tuning LLM applications.
    you: not recommended
    AI recommended (in order):
    1. Argilla (argilla-io/argilla)
    2. Open Assistant (LAION-AI/Open-Assistant)
    3. Humanloop
    4. OpenAI API
    5. Anthropic API
    6. Llama 2 (facebookresearch/llama)
    7. Mixtral (mistralai/mistral-src)
    8. BLEU
    9. ROUGE
    10. BERTScore
    11. MoverScore

    AI recommended 11 alternatives but never named agentscope-ai/OpenJudge. 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 agentscope-ai/OpenJudge?
    pass
    AI named agentscope-ai/OpenJudge explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite