RRepoGEO

REPOGEO REPORT · LITE

HKUDS/ClawTeam

Default branch main · commit 01198332 · scanned 5/23/2026, 11:06:33 PM

GitHub: 5,239 stars · 716 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
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 HKUDS/ClawTeam, 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
  • highabout#1
    Refine 'About' description for clarity and category alignment

    Why:

    CURRENT
    ClawTeam: Agent Swarm Intelligence (One Command → Full Automation)
    COPY-PASTE FIX
    ClawTeam: An AI Agent Swarm Orchestration Framework for Collaborative Automation
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, agent-framework, multi-agent-system, llm, generative-ai, automation, agent-orchestration
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://[YOUR_PROJECT_HOMEPAGE_URL_HERE]

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 HKUDS/ClawTeam
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. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How can I orchestrate multiple AI agents to collaborate on complex tasks with full automation?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. OpenAI Assistants API
    6. Semantic Kernel

    AI recommended 6 alternatives but never named HKUDS/ClawTeam. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for managing and coordinating a team of AI agents for project delivery?
    you: not recommended
    AI recommended (in order):
    1. CrewAI (joaomdmoura/crewai)
    2. AutoGen (microsoft/autogen)
    3. LangChain Agents (langchain-ai/langchain)
    4. LlamaIndex Agents (run-llama/llama_index)
    5. Haystack Agents (deepset-ai/haystack)
    6. Open Interpreter (KillianLucas/open-interpreter)

    AI recommended 6 alternatives but never named HKUDS/ClawTeam. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 HKUDS/ClawTeam?
    pass
    AI named HKUDS/ClawTeam explicitly

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

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

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

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HKUDS/ClawTeam — 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