RRepoGEO

REPOGEO REPORT · LITE

fguzman82/gateGPT

Default branch main · commit f1a604e9 · scanned 6/20/2026, 7:28:22 PM

GitHub: 533 stars · 88 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 fguzman82/gateGPT, 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
    Add a descriptive tagline to the README H1

    Why:

    CURRENT
    # gateGPT
    COPY-PASTE FIX
    # gateGPT: microGPT Hardware (RTL) on FPGA
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    hardware, rtl, fpga, verilog, gpt, transformer, microcode, virtex-5, character-level-generation, ai-accelerator
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the project's licensing terms.

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 fguzman82/gateGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA TensorRT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA TensorRT · recommended 1×
  2. Google Cloud TPUs · recommended 1×
  3. Intel OpenVINO Toolkit · recommended 1×
  4. AMD ROCm · recommended 1×
  5. AWS Inferentia · recommended 1×
  • CATEGORY QUERY
    How to accelerate transformer model inference using custom hardware for high throughput?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA TensorRT
    2. Google Cloud TPUs
    3. Intel OpenVINO Toolkit
    4. AMD ROCm
    5. AWS Inferentia
    6. Hailo-8
    7. Google Coral Edge TPU

    AI recommended 7 alternatives but never named fguzman82/gateGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for deploying efficient language models on FPGAs for character-level generation?
    you: not recommended
    AI recommended (in order):
    1. Vitis AI
    2. TensorFlow
    3. PyTorch
    4. hls4ml
    5. Keras
    6. ONNX
    7. FINN
    8. OpenVINO Toolkit
    9. Vitis HLS
    10. Intel HLS Compiler
    11. Chisel
    12. SpinalHDL
    13. Verilog/VHDL

    AI recommended 13 alternatives but never named fguzman82/gateGPT. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 fguzman82/gateGPT?
    pass
    AI named fguzman82/gateGPT explicitly

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

  • If a team adopts fguzman82/gateGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fguzman82/gateGPT 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 fguzman82/gateGPT solve, and who is the primary audience?
    pass
    AI named fguzman82/gateGPT explicitly

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

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fguzman82/gateGPT — 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