RRepoGEO

REPOGEO REPORT · LITE

anicolson/DeepXi

Default branch master · commit a0acd968 · scanned 6/7/2026, 9:42:44 AM

GitHub: 523 stars · 126 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 anicolson/DeepXi, 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 README's opening to clearly state purpose

    Why:

    CURRENT
    **Deep Xi**: A Deep Learning Approach to *A Priori* SNR Estimation for speech enhancement.
    COPY-PASTE FIX
    Move the current 'News' section further down and replace the README's initial content with a concise problem/solution statement, such as: 'Deep Xi is a deep learning library for *a priori* SNR estimation, specifically designed for single-channel speech enhancement and robust Automatic Speech Recognition (ASR). It provides state-of-the-art models implemented in TensorFlow 2/Keras to improve speech clarity in noisy environments.'
  • mediumhomepage#2
    Add Homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    Add the URL for the project's primary external website or documentation portal to the repository's 'About' section.
  • lowreadme#3
    Add a Quick Start/Usage Example to README

    Why:

    COPY-PASTE FIX
    Add a 'Quick Start' or 'Usage Example' section immediately after the introduction in the README, demonstrating how to apply DeepXi for a basic speech enhancement task.

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 anicolson/DeepXi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA NeMo
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA NeMo · recommended 1×
  2. Google MediaPipe · recommended 1×
  3. Demucs · recommended 1×
  4. OpenVINO · recommended 1×
  5. TensorFlow Lite · recommended 1×
  • CATEGORY QUERY
    How to improve speech clarity in noisy environments using deep learning?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA NeMo
    2. Google MediaPipe
    3. Demucs
    4. OpenVINO
    5. TensorFlow Lite
    6. PyTorch Mobile
    7. ESPnet
    8. SpeechBrain

    AI recommended 8 alternatives but never named anicolson/DeepXi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a deep learning library for a priori SNR estimation in speech processing.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. JAX
    5. PaddlePaddle

    AI recommended 5 alternatives but never named anicolson/DeepXi. 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 anicolson/DeepXi?
    pass
    AI named anicolson/DeepXi explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of anicolson/DeepXi. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/anicolson/DeepXi.svg)](https://repogeo.com/en/r/anicolson/DeepXi)
HTML
<a href="https://repogeo.com/en/r/anicolson/DeepXi"><img src="https://repogeo.com/badge/anicolson/DeepXi.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

anicolson/DeepXi — 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