RRepoGEO

REPOGEO REPORT · LITE

dataelement/Clawith

Default branch main · commit 4c4504c9 · scanned 5/11/2026, 12:22:02 AM

GitHub: 3,617 stars · 594 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 dataelement/Clawith, 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
    Update the repository description to be more specific

    Why:

    CURRENT
    Your Agent Company
    COPY-PASTE FIX
    An open-source multi-agent collaboration platform for LLMs, featuring persistent identity, long-term memory, and autonomous workspaces for agents.
  • highreadme#2
    Ensure the README's opening line clearly states its core purpose

    Why:

    COPY-PASTE FIX
    Ensure the very first line of the README (after any badges/images) is: "Clawith is an open-source multi-agent collaboration platform for LLMs, enabling agents with persistent identity, long-term memory, and individual workspaces to work together as a crew."
  • mediumtopics#3
    Expand repository topics with more specific terms

    Why:

    CURRENT
    agent, llm, multiagent, openclaw
    COPY-PASTE FIX
    agent, llm, multiagent, openclaw, agent-orchestration, collaborative-ai, long-term-memory, autonomous-agents, ai-platform

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 dataelement/Clawith
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. AutoGen · recommended 2×
  3. LlamaIndex · recommended 2×
  4. Haystack · recommended 2×
  5. Open Interpreter · recommended 2×
  • CATEGORY QUERY
    Seeking an open-source platform for building collaborative AI agents with persistent identity and long-term memory.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. LlamaIndex
    4. Haystack
    5. MemGPT
    6. Open Interpreter

    AI recommended 6 alternatives but never named dataelement/Clawith. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to orchestrate multiple LLM agents, each with its own workspace and autonomous awareness?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. Open Interpreter
    6. LlamaIndex

    AI recommended 6 alternatives but never named dataelement/Clawith. 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 dataelement/Clawith?
    pass
    AI named dataelement/Clawith explicitly

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

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

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

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dataelement/Clawith — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite