RRepoGEO

REPOGEO REPORT · LITE

qualcomm/GenieX

Default branch main · commit 15e1a121 · scanned 6/27/2026, 10:26:29 PM

GitHub: 8,109 stars · 1,009 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 qualcomm/GenieX, 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
  • highhomepage#1
    Add the official project homepage

    Why:

    COPY-PASTE FIX
    https://geniex.aihub.qualcomm.com
  • hightopics#2
    Refine repository topics for better categorization

    Why:

    CURRENT
    gemma4, go, gpt-oss, granite4, hexagon, llama3, llm, local-ai, on-device-ai, qualcomm, qwen3, qwen3vl, sdk, snapdragon, vlm
    COPY-PASTE FIX
    gemma4, gpt-oss, granite4, hexagon, llama3, llm, local-ai, on-device-ai, qualcomm, qwen3, qwen3vl, sdk, snapdragon, vlm, ai-inference, edge-ai, model-deployment, gen-ai-runtime
  • mediumabout#3
    Update repository description to emphasize "runtime"

    Why:

    CURRENT
    Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code
    COPY-PASTE FIX
    GenieX is an on-device Gen AI inference runtime to run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code.

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 qualcomm/GenieX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ONNX Runtime
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ONNX Runtime · recommended 2×
  2. TensorFlow Lite · recommended 2×
  3. PyTorch Mobile · recommended 2×
  4. QNN SDK · recommended 1×
  5. MediaTek NeuroPilot · recommended 1×
  • CATEGORY QUERY
    How can I run large language models efficiently on Qualcomm mobile devices?
    you: not recommended
    AI recommended (in order):
    1. QNN SDK
    2. ONNX Runtime
    3. MediaTek NeuroPilot
    4. TensorFlow Lite
    5. PyTorch Mobile
    6. MLC LLM
    7. Qualcomm Hexagon DSP SDK

    AI recommended 7 alternatives but never named qualcomm/GenieX. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What toolkit helps deploy local AI models on Qualcomm NPU or GPU?
    you: not recommended
    AI recommended (in order):
    1. Qualcomm AI Engine Direct
    2. Snapdragon Neural Processing Engine
    3. ONNX Runtime
    4. TensorFlow Lite
    5. PyTorch Mobile
    6. OpenCV AI Kit (OAK)
    7. DepthAI

    AI recommended 7 alternatives but never named qualcomm/GenieX. 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 qualcomm/GenieX?
    pass
    AI named qualcomm/GenieX explicitly

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

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

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

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qualcomm/GenieX — 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