RRepoGEO

REPOGEO REPORT · LITE

graykode/abtop

Default branch main · commit a19ac658 · scanned 6/23/2026, 11:36:49 PM

GitHub: 3,077 stars · 288 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
35 /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
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 graykode/abtop, 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 abtop's unique category in the README's opening

    Why:

    CURRENT
    # abtop
    
    **Like btop, but for your AI coding agents.**
    COPY-PASTE FIX
    # abtop: Real-time TUI Monitor for AI Coding Agents
    
    **`abtop` is a terminal-based utility, like `htop` or `btop`, specifically designed for real-time monitoring of your AI coding agents.**
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/graykode/abtop
  • mediumreadme#3
    Add a 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Differentiators
    
    Unlike generic system monitors (like `htop` or `btop`), `abtop` provides AI agent-specific metrics such as token usage, context window percentage, and real-time rate limit tracking. It's a local, terminal-based utility, not a cloud dashboard or a development library, ensuring privacy with no API keys or external authentication required.

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 graykode/abtop
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API Usage Dashboard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API Usage Dashboard · recommended 1×
  2. LangChain · recommended 1×
  3. LangSmith · recommended 1×
  4. Weights & Biases (W&B) Prompts · recommended 1×
  5. Helicone · recommended 1×
  • CATEGORY QUERY
    How can I monitor real-time token usage and rate limits for my AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API Usage Dashboard
    2. LangChain
    3. LangSmith
    4. Weights & Biases (W&B) Prompts
    5. Helicone
    6. Portkey.ai
    7. Grafana
    8. Prometheus
    9. InfluxDB
    10. Datadog
    11. New Relic
    12. Splunk
    13. ELK Stack
    14. Elasticsearch
    15. Logstash
    16. Kibana

    AI recommended 16 alternatives but never named graykode/abtop. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What terminal tool helps track multiple AI agent sessions, processes, and resource usage?
    you: not recommended
    AI recommended (in order):
    1. htop
    2. glances
    3. tmux
    4. nvtop
    5. atop
    6. bpytop
    7. bashtop
    8. btop

    AI recommended 8 alternatives but never named graykode/abtop. 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 graykode/abtop?
    pass
    AI named graykode/abtop explicitly

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

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

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

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graykode/abtop — 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