RRepoGEO

REPOGEO REPORT · LITE

kennss/SiliconScope

Default branch main · commit 18608371 · scanned 6/25/2026, 6:26:47 PM

GitHub: 553 stars · 36 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 kennss/SiliconScope, 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 to explicitly state its GUI nature and differentiate from developer tools

    Why:

    CURRENT
    A **sudoless Apple Silicon system monitor** — a native SwiftUI dashboard **and** a full menu-bar suite — with first-class **ANE (Neural Engine)**, **Media Engine**, and **memory-bandwidth** tracking that Activity Monitor and terminal monitors don't surface.
    COPY-PASTE FIX
    SiliconScope is a **native SwiftUI GUI system monitor for Apple Silicon**, offering a user-friendly dashboard and menu-bar suite with first-class **ANE (Neural Engine)**, **Media Engine**, and **memory-bandwidth** tracking. Unlike developer tools or command-line utilities, SiliconScope provides these advanced metrics in an accessible, sudoless application.
  • mediumreadme#2
    Add a dedicated comparison section to highlight differentiation from common alternatives

    Why:

    COPY-PASTE FIX
    ### Why SiliconScope?
While tools like **Activity Monitor** provide basic system overview, and **Xcode Instruments** or `powermetrics` offer deep developer-focused insights, SiliconScope fills a crucial gap:
- **User-Friendly GUI:** A native SwiftUI application, not a complex developer tool or command-line utility.
- **Unique Metrics:** Tracks ANE (Neural Engine), Media Engine, and memory bandwidth, which are not surfaced by Activity Monitor or easily accessible via `powermetrics` for end-users.
- **Sudoless Operation:** No root privileges required for full functionality.
- **Daily Driver:** Designed as a comprehensive, iStat Menus-style monitor for everyday use, not just debugging.
  • lowtopics#3
    Add topics that emphasize the GUI application aspect

    Why:

    CURRENT
    apple-silicon, gpu, llama-cpp, llm, lm-studio, local-llm, macos, menubar, mlx, neural-engine, ollama, on-device-ai, performance-monitoring, swiftui, system-monitor
    COPY-PASTE FIX
    apple-silicon, gpu, llama-cpp, llm, lm-studio, local-llm, macos, menubar, mlx, neural-engine, ollama, on-device-ai, performance-monitoring, swiftui, system-monitor, macos-app, gui, 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 kennss/SiliconScope
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Xcode Instruments
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Xcode Instruments · recommended 2×
  2. Activity Monitor · recommended 2×
  3. powermetrics · recommended 1×
  4. os_signpost · recommended 1×
  5. Core ML Performance Metrics · recommended 1×
  • CATEGORY QUERY
    How to monitor Apple Silicon Neural Engine and Media Engine performance for on-device AI workloads?
    you: not recommended
    AI recommended (in order):
    1. Xcode Instruments
    2. powermetrics
    3. os_signpost
    4. Core ML Performance Metrics
    5. sysdiagnose
    6. Activity Monitor

    AI recommended 6 alternatives but never named kennss/SiliconScope. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools to track Apple Silicon GPU, ANE, and memory bandwidth metrics?
    you: not recommended
    AI recommended (in order):
    1. Xcode Instruments
    2. Metal Performance Shaders (MPS) Graph Debugger
    3. `powermetrics`
    4. Activity Monitor
    5. Custom Metal Performance Counters
    6. `os_signpost`

    AI recommended 6 alternatives but never named kennss/SiliconScope. 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 kennss/SiliconScope?
    pass
    AI named kennss/SiliconScope explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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kennss/SiliconScope — 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