RRepoGEO

REPOGEO REPORT · LITE

crespum/edge-ai

Default branch master · commit 55356f6a · scanned 6/14/2026, 5:10:03 PM

GitHub: 531 stars · 62 forks

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 crespum/edge-ai, 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
  • highabout#1
    Update the 'About' description to clarify repo type

    Why:

    CURRENT
    A curated list of resources for embedded AI
    COPY-PASTE FIX
    An Awesome List: A comprehensive, curated collection of hardware, software, and frameworks for Artificial Intelligence at the edge.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL to `https://github.com/crespum/edge-ai`.

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 crespum/edge-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow Lite
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Lite · recommended 2×
  2. OpenVINO Toolkit · recommended 2×
  3. NVIDIA JetPack SDK · recommended 2×
  4. Edge Impulse · recommended 2×
  5. NVIDIA Jetson Series · recommended 1×
  • CATEGORY QUERY
    What are the best hardware and software options for embedded AI development?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Jetson Series
    2. Google Coral Edge TPU
    3. Raspberry Pi
    4. Google Coral USB Accelerator
    5. OpenVINO Neural Compute Stick 2 (NCS2)
    6. Intel Movidius Myriad X
    7. Intel Vision Accelerator Design with Movidius VPUs
    8. ESP32
    9. TensorFlow Lite
    10. PyTorch Mobile
    11. TorchScript
    12. OpenVINO Toolkit
    13. NVIDIA JetPack SDK
    14. CUDA Toolkit
    15. cuDNN
    16. TensorRT
    17. OpenCV
    18. Edge Impulse
    19. ONNX Runtime

    AI recommended 19 alternatives but never named crespum/edge-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a comprehensive list of tools and platforms for low-power edge inference.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite
    2. PyTorch Mobile / PyTorch Edge
    3. OpenVINO Toolkit
    4. NVIDIA JetPack SDK
    5. Edge Impulse
    6. Arm Ethos-U Processors
    7. TensorFlow Lite for Microcontrollers (TFLu)
    8. Qualcomm AI Engine Direct (QNN)

    AI recommended 8 alternatives but never named crespum/edge-ai. 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 crespum/edge-ai?
    pass
    AI did not name crespum/edge-ai — 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 crespum/edge-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named crespum/edge-ai 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 crespum/edge-ai solve, and who is the primary audience?
    pass
    AI named crespum/edge-ai 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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crespum/edge-ai — 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