RRepoGEO

REPOGEO REPORT · LITE

Maciek-roboblog/Claude-Code-Usage-Monitor

Default branch main · commit 06f0fe11 · scanned 6/22/2026, 3:17:01 AM

GitHub: 8,250 stars · 424 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
28 /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
2 / 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
    Reposition the README's opening paragraph to emphasize its specific niche

    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
    A beautiful, real-time **local terminal CLI** for **developers** to monitor **Anthropic Claude AI** token usage. Get advanced analytics, machine learning-based predictions, and Rich UI to track token consumption, burn rate, cost analysis, and intelligent predictions about session limits.
  • hightopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    ai, analytics, claude, claude-code, claude-usage, limits, monitoring, terminal, usage-tracking
    COPY-PASTE FIX
    ai, analytics, claude, claude-code, claude-usage, limits, monitoring, terminal, usage-tracking, cli, developer-tool, token-management, cost-optimization, anthropic
  • 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. Datadog · recommended 2×
  4. New Relic · recommended 2×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How to track AI model token consumption and predict usage limits in real-time?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenTelemetry
    3. Prometheus
    4. Grafana
    5. Datadog
    6. New Relic
    7. PostgreSQL
    8. MongoDB
    9. Streamlit
    10. Dash
    11. Metabase
    12. Tableau
    13. Azure Monitor
    14. AWS CloudWatch
    15. Google Cloud Monitoring

    AI recommended 15 alternatives but never named Maciek-roboblog/Claude-Code-Usage-Monitor. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Terminal tool for monitoring AI API usage, burn rate, and getting session warnings?
    you: not recommended
    AI recommended (in order):
    1. Helicone.ai
    2. OpenMeter
    3. Grafana
    4. Prometheus
    5. Datadog
    6. New Relic

    AI recommended 6 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 named Maciek-roboblog/Claude-Code-Usage-Monitor explicitly

    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 named Maciek-roboblog/Claude-Code-Usage-Monitor 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 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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Maciek-roboblog/Claude-Code-Usage-Monitor — 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