RRepoGEO

REPOGEO REPORT · LITE

agentscope-ai/agentscope-studio

Default branch main · commit 3e6df8b4 · scanned 6/10/2026, 11:21:52 AM

GitHub: 571 stars · 123 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /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
1 / 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/agentscope-studio, 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's opening paragraph to clarify its niche

    Why:

    CURRENT
    AgentScope Studio is a powerful **local visualization toolkit** designed for developers working with AgentScope. It provides a **transparent**, **simple**, and **fun** way to develop, debug, and evaluate agent-based applications.
    COPY-PASTE FIX
    AgentScope Studio is a powerful **local visualization toolkit** specifically designed for developers building and debugging **complex multi-agent LLM applications** within the AgentScope framework. It provides a **transparent**, **simple**, and **fun** way to develop, debug, and evaluate these advanced agent-based systems.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agent, agentscope, chatbot, llm, multi-agent, opentelemetry, tracing
    COPY-PASTE FIX
    agent, agentscope, chatbot, llm, multi-agent, opentelemetry, tracing, llm-agents, agent-development, ai-agent-debugging, agent-orchestration, llm-observability
  • lowreadme#3
    Add a comparison section to differentiate from generic tools

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'Why AgentScope Studio? (vs. Generic LLM Observability/Tracing Tools)' or 'Comparison with Alternatives,' that explicitly explains its unique focus on multi-agent LLM application development, debugging, and evaluation, contrasting it with tools like LangSmith (general LLM observability) or Grafana/Jaeger (generic OpenTelemetry tracing). Emphasize its integration with the AgentScope framework and its agent-centric features.

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/agentscope-studio
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain Plus (LangSmith)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain Plus (LangSmith) · recommended 1×
  2. OpenReplay · recommended 1×
  3. WandB (Weights & Biases) Prompts · recommended 1×
  4. Helicone · recommended 1×
  5. Arize AI · recommended 1×
  • CATEGORY QUERY
    How can I visualize and debug complex multi-agent LLM application interactions and traces?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (LangSmith)
    2. OpenReplay
    3. WandB (Weights & Biases) Prompts
    4. Helicone
    5. Arize AI
    6. ELK Stack (Elasticsearch, Logstash, Kibana)
    7. Grafana Loki with Promtail

    AI recommended 7 alternatives but never named agentscope-ai/agentscope-studio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help visualize OpenTelemetry traces and evaluate performance for LLM agent systems?
    you: not recommended
    AI recommended (in order):
    1. Grafana Tempo
    2. Grafana
    3. Jaeger
    4. Honeycomb
    5. Datadog APM
    6. New Relic APM
    7. SigNoz

    AI recommended 7 alternatives but never named agentscope-ai/agentscope-studio. 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/agentscope-studio?
    pass
    AI did not name agentscope-ai/agentscope-studio — likely talking about a different project

    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/agentscope-studio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agentscope-ai/agentscope-studio 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/agentscope-studio solve, and who is the primary audience?
    pass
    AI did not name agentscope-ai/agentscope-studio — likely talking about a different project

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

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agentscope-ai/agentscope-studio — 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