RRepoGEO

REPOGEO REPORT · LITE

shareAI-lab/claw0

Default branch main · commit 0090e863 · scanned 5/20/2026, 11:12:50 AM

GitHub: 2,640 stars · 312 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 shareAI-lab/claw0, 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 tagline to explicitly state its purpose and language

    Why:

    CURRENT
    From Zero to One: Build an AI Agent Gateway
    COPY-PASTE FIX
    A Python framework to build production-grade AI agents and their orchestration gateway, from scratch.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, agent-framework, llm-agents, python, agent-orchestration, gateway, production-ready, tool-use, conversational-ai, large-language-models
  • highlicense#3
    Add a standard open-source license file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals.

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 shareAI-lab/claw0
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. LlamaIndex · recommended 2×
  3. CrewAI · recommended 2×
  4. Microsoft Semantic Kernel · recommended 2×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How to build a complete AI agent with tool use and persistent context?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. BabyAGI
    6. CrewAI
    7. Microsoft Semantic Kernel

    AI recommended 7 alternatives but never named shareAI-lab/claw0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks help create a production-ready AI agent with routing and session management?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack (deepset)
    5. OpenAI Assistants API
    6. CrewAI

    AI recommended 6 alternatives but never named shareAI-lab/claw0. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 shareAI-lab/claw0?
    pass
    AI named shareAI-lab/claw0 explicitly

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

  • If a team adopts shareAI-lab/claw0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shareAI-lab/claw0 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 shareAI-lab/claw0 solve, and who is the primary audience?
    pass
    AI named shareAI-lab/claw0 explicitly

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

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shareAI-lab/claw0 — 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