RRepoGEO

REPOGEO REPORT · LITE

Leanmcp/superview.sh

Default branch main · commit e188f077 · scanned 5/30/2026, 8:39:17 AM

GitHub: 2,096 stars · 2,169 forks

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 Leanmcp/superview.sh, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README to focus on AI API observability, not an AI assistant guide

    Why:

    CURRENT
    # Clear-Code

### The Ultimate Guide to Open-Source AI Coding Assistants
    COPY-PASTE FIX
    # superview.sh: Claude API Observability via Leanmcp AI Gateway

Get clear, detailed logs and insights into your Claude API calls by routing them through Leanmcp's AI Gateway. This simple script helps you monitor every request, file read, and token burned, providing full visibility into your AI assistant's interactions.
  • mediumabout#2
    Expand description to clarify the mechanism of AI API logging

    Why:

    CURRENT
    See your claude code logs in clear details in your dashboard
    COPY-PASTE FIX
    Route your Claude API calls through Leanmcp's AI Gateway to get detailed logs, token usage, and full visibility in your dashboard.

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 Leanmcp/superview.sh
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Datadog
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Datadog · recommended 1×
  2. New Relic · recommended 1×
  3. Splunk · recommended 1×
  4. Prometheus · recommended 1×
  5. Grafana · recommended 1×
  • CATEGORY QUERY
    How can I gain visibility into my AI assistant's API requests and data usage?
    you: not recommended
    AI recommended (in order):
    1. Datadog
    2. New Relic
    3. Splunk
    4. Prometheus
    5. Grafana
    6. AWS CloudWatch
    7. Azure Monitor
    8. Google Cloud Operations
    9. APIMatic
    10. Postman

    AI recommended 10 alternatives but never named Leanmcp/superview.sh. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help debug and understand AI model interactions and token consumption?
    you: not recommended
    AI recommended (in order):
    1. LangChain Debugger/LangSmith (langchain-ai/langchain)
    2. OpenAI Playground/API Logs
    3. Weights & Biases (W&B) Prompts (wandb/wandb)
    4. Helicone (helicone/helicone)
    5. Humanloop
    6. DeepEval (confident-ai/deepeval)
    7. tiktoken (openai/tiktoken)

    AI recommended 7 alternatives but never named Leanmcp/superview.sh. 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 Leanmcp/superview.sh?
    pass
    AI named Leanmcp/superview.sh explicitly

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

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

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

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Leanmcp/superview.sh — 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