RRepoGEO

REPOGEO REPORT · LITE

Maciek-roboblog/Claude-Code-Usage-Monitor

Default branch main · commit 06f0fe11 · scanned 5/11/2026, 9:23:04 PM

GitHub: 7,964 stars · 404 forks

AI VISIBILITY SCORE
15 /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
0 / 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 Maciek-roboblog/Claude-Code-Usage-Monitor, 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
    Clarify the project's focus on monitoring Claude AI's token usage for coding tasks and its robust nature in the README's opening.

    Why:

    CURRENT
    A beautiful real-time terminal monitoring tool for Claude AI token usage with advanced analytics, machine learning-based predictions, and Rich UI. Track your token consumption, burn rate, cost analysis, and get intelligent predictions about session limits.
    COPY-PASTE FIX
    The **Claude Code Usage Monitor** is a beautiful, real-time terminal tool designed for developers and teams to track their Claude AI token consumption, burn rate, and cost analysis *specifically when interacting with Claude for coding tasks*. With advanced analytics and machine learning-based predictions, it provides robust, intelligent insights into session limits, ensuring efficient and predictable use of Claude AI.
  • highreadme#2
    Add a 'What it is NOT' or 'Comparison' section to differentiate from general monitoring platforms.

    Why:

    COPY-PASTE FIX
    ## 🚫 What Claude Code Usage Monitor is NOT
This tool is a dedicated, real-time terminal application for monitoring your Claude AI token usage. It is **not** a general-purpose system monitor like `htop` or `glances`, nor is it a comprehensive observability platform like `Prometheus` or `Grafana`. It focuses specifically on providing immediate, actionable insights into your Claude AI consumption directly from your command line.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata.

    Why:

    COPY-PASTE FIX
    https://pypi.org/project/claude-monitor/

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 Maciek-roboblog/Claude-Code-Usage-Monitor
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Prometheus
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Prometheus · recommended 2×
  2. Grafana · recommended 2×
  3. OpenAI Usage Dashboard · recommended 1×
  4. LangSmith · recommended 1×
  5. Helicone · recommended 1×
  • CATEGORY QUERY
    How to track my AI assistant API token usage, burn rate, and predict session limits?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Usage Dashboard
    2. LangSmith
    3. Helicone
    4. LiteLLM
    5. Prometheus
    6. Grafana
    7. Datadog
    8. New Relic
    9. Splunk

    AI recommended 9 alternatives but never named Maciek-roboblog/Claude-Code-Usage-Monitor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Are there any good terminal tools for real-time AI model usage monitoring and warnings?
    you: not recommended
    AI recommended (in order):
    1. Netdata
    2. htop
    3. glances
    4. nvtop
    5. Prometheus
    6. Grafana
    7. node_exporter
    8. nvidia_gpu_exporter
    9. notify-send
    10. tmux
    11. watch
    12. TensorBoard

    AI recommended 12 alternatives but never named Maciek-roboblog/Claude-Code-Usage-Monitor. 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 Maciek-roboblog/Claude-Code-Usage-Monitor?
    pass
    AI did not name Maciek-roboblog/Claude-Code-Usage-Monitor — 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 Maciek-roboblog/Claude-Code-Usage-Monitor in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Maciek-roboblog/Claude-Code-Usage-Monitor — 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?

  • In one sentence, what problem does the repo Maciek-roboblog/Claude-Code-Usage-Monitor solve, and who is the primary audience?
    pass
    AI did not name Maciek-roboblog/Claude-Code-Usage-Monitor — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite