RRepoGEO

REPOGEO REPORT · LITE

edison7009/EchoBird

Default branch main · commit dd25c348 · scanned 6/29/2026, 8:11:54 PM

GitHub: 2,740 stars · 295 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 edison7009/EchoBird, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["ai-deployment", "mlops", "ai-platform", "model-deployment", "one-click-install", "machine-learning"]
  • highabout#2
    Update the repository description to be more specific

    Why:

    CURRENT
    One-Click Install All
    COPY-PASTE FIX
    One-click deployment platform for AI models and applications.
  • highreadme#3
    Reinforce AI deployment purpose in the README's opening

    Why:

    COPY-PASTE FIX
    Add this sentence immediately after the H1 tagline:

`<p align="center">EchoBird is your one-click solution for deploying AI models and applications, designed to simplify the entire MLOps lifecycle from development to production.</p>`

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 edison7009/EchoBird
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Spaces
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Spaces · recommended 2×
  2. Render · recommended 2×
  3. Vercel · recommended 2×
  4. gradio-app/gradio · recommended 1×
  5. streamlit/streamlit · recommended 1×
  • CATEGORY QUERY
    Looking for a tool to simplify the one-click deployment of AI models for my projects.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Spaces
    2. Gradio (gradio-app/gradio)
    3. Streamlit (streamlit/streamlit)
    4. Google Colab
    5. Streamlit Community Cloud
    6. Google Cloud Vertex AI Endpoints
    7. AWS SageMaker Endpoints
    8. Render
    9. Vercel

    AI recommended 9 alternatives but never named edison7009/EchoBird. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best platforms for quickly getting AI applications up and running?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vertex AI
    2. Hugging Face Transformers
    3. Hugging Face Spaces
    4. OpenAI API
    5. Microsoft Azure Machine Learning
    6. Amazon SageMaker
    7. Gradio
    8. Streamlit
    9. FastAPI
    10. Flask
    11. Render
    12. Vercel
    13. Netlify

    AI recommended 13 alternatives but never named edison7009/EchoBird. 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 edison7009/EchoBird?
    pass
    AI named edison7009/EchoBird explicitly

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

  • If a team adopts edison7009/EchoBird in production, what risks or prerequisites should they evaluate first?
    pass
    AI named edison7009/EchoBird 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 edison7009/EchoBird solve, and who is the primary audience?
    pass
    AI named edison7009/EchoBird explicitly

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

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MARKDOWN (README)
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edison7009/EchoBird — 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