RRepoGEO

REPOGEO REPORT · LITE

msfirebird/claw-lens

Default branch main · commit 064919d6 · scanned 6/18/2026, 3:31:50 PM

GitHub: 504 stars · 41 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 msfirebird/claw-lens, 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 H1 to specify category

    Why:

    CURRENT
    # claw-lens
    COPY-PASTE FIX
    # claw-lens: Local Observability Dashboard for AI Agents (OpenClaw)
  • highabout#2
    Update the GitHub "About" description for clarity

    Why:

    CURRENT
    Open-source observability dashboard for OpenClaw daemons — cost analytics, live monitoring, and debugging tools, all running on your own machine.
    COPY-PASTE FIX
    AI Agent Observability Dashboard for OpenClaw daemons — cost analytics, live monitoring, and debugging tools, all running on your own machine.
  • mediumtopics#3
    Expand and correct repository topics

    Why:

    CURRENT
    agent-observability, ai-agents, analytics, cost-tracking, developer-tools, local-first, observibility, openclaw, openclaw-extension, openclaw-plugin, typescript
    COPY-PASTE FIX
    ai-agent-observability, ai-agents, analytics, cost-tracking, dashboard, debugging, developer-tools, local-first, monitoring, observability, openclaw, openclaw-extension, openclaw-plugin, typescript

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 msfirebird/claw-lens
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain Plus (now LangSmith)
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain Plus (now LangSmith) · recommended 2×
  2. Arize AI · recommended 1×
  3. Weights & Biases (W&B) Prompts · recommended 1×
  4. OpenReplay · recommended 1×
  5. Splunk · recommended 1×
  • CATEGORY QUERY
    How can I monitor and debug AI agent performance and cost locally?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (now LangSmith)

    AI recommended 1 alternative but never named msfirebird/claw-lens. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help track AI agent sessions, audit security, and analyze runtime behavior?
    you: not recommended
    AI recommended (in order):
    1. LangChain Plus (now LangSmith)
    2. Arize AI
    3. Weights & Biases (W&B) Prompts
    4. OpenReplay
    5. Splunk
    6. Datadog

    AI recommended 6 alternatives but never named msfirebird/claw-lens. 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 msfirebird/claw-lens?
    pass
    AI named msfirebird/claw-lens explicitly

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

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

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

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msfirebird/claw-lens — 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