RRepoGEO

REPOGEO REPORT · LITE

LeoKemp223/embed-ai-tool

Default branch master · commit f32330c3 · scanned 6/1/2026, 10:42:57 PM

GitHub: 519 stars · 86 forks

AI VISIBILITY SCORE
22 /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
1 / 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 LeoKemp223/embed-ai-tool, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root containing the text of the MIT License.
  • highreadme#2
    Update the README H1 to explicitly state "embedded development" and include the repo name

    Why:

    CURRENT
    # 打通AI开发硬件产品的研发、调试、测试全自动化流程。
    COPY-PASTE FIX
    # LeoKemp223/embed-ai-tool: 面向 AI 编程助手的嵌入式开发全流程自动化工具
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a URL to a dedicated project page, documentation, or a relevant GitHub Pages site in the repository's 'About' section.

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 LeoKemp223/embed-ai-tool
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Lauterbach TRACE32
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Lauterbach TRACE32 · recommended 2×
  2. STM32CubeMX · recommended 1×
  3. Microchip MPLAB Code Configurator (MCC) · recommended 1×
  4. GitHub Copilot · recommended 1×
  5. ChatGPT · recommended 1×
  • CATEGORY QUERY
    How can an AI assistant help automate the entire MCU firmware development and debugging process?
    you: not recommended
    AI recommended (in order):
    1. STM32CubeMX
    2. Microchip MPLAB Code Configurator (MCC)
    3. GitHub Copilot
    4. ChatGPT
    5. Polyspace Bug Finder
    6. Polyspace Code Prover
    7. PC-Lint Plus
    8. FlexeLint
    9. SonarQube (SonarSource/sonarqube)
    10. Clang-Tidy (llvm/llvm-project)
    11. Cppcheck (danmar/cppcheck)
    12. Tessy
    13. VectorCAST
    14. GoogleTest (google/googletest)
    15. Unity (for C) (ThrowTheSwitch/Unity)
    16. Lauterbach TRACE32
    17. Lauterbach TRACE32
    18. SEGGER J-Link
    19. Percepio Tracealyzer
    20. Doxygen (doxygen/doxygen)
    21. Sphinx (sphinx-doc/sphinx)

    AI recommended 21 alternatives but never named LeoKemp223/embed-ai-tool. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a cross-platform solution for MCU firmware building, flashing, and GDB debugging across multiple toolchains.
    you: not recommended
    AI recommended (in order):
    1. PlatformIO (platformio/platformio-core)
    2. VS Code (microsoft/vscode)
    3. Cortex-Debug Extension (Marus/cortex-debug)
    4. SEGGER Embedded Studio
    5. Eclipse
    6. CDT
    7. GNU MCU Eclipse
    8. IAR Embedded Workbench
    9. Keil MDK-ARM
    10. STM32CubeIDE

    AI recommended 10 alternatives but never named LeoKemp223/embed-ai-tool. 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 LeoKemp223/embed-ai-tool?
    pass
    AI did not name LeoKemp223/embed-ai-tool — 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 LeoKemp223/embed-ai-tool in production, what risks or prerequisites should they evaluate first?
    pass
    AI named LeoKemp223/embed-ai-tool 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 LeoKemp223/embed-ai-tool solve, and who is the primary audience?
    pass
    AI did not name LeoKemp223/embed-ai-tool — 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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LeoKemp223/embed-ai-tool — 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