RRepoGEO

REPOGEO REPORT · LITE

Woolverine94/biniou

Default branch main · commit 93d9e3f3 · scanned 6/20/2026, 3:17:45 PM

GitHub: 1,137 stars · 133 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)

2 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 Woolverine94/biniou, 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 the core description as the main README heading

    Why:

    CURRENT
    <h1 align="center">
<p align="center">
  
</p>
</h1>
    COPY-PASTE FIX
    # biniou: A Self-Hosted Web UI for 30+ Generative AI Models

biniou is a self-hosted webui for several kinds of GenAI (generative artificial intelligence). You can generate multimedia contents with AI and use a chatbot on your own computer, even without dedicated GPU and starting from 8GB RAM. Can work offline (once deployed and required models downloaded).
  • mediumabout#2
    Add the repository URL as the homepage in the About section

    Why:

    COPY-PASTE FIX
    https://github.com/Woolverine94/biniou
  • lowreadme#3
    Add a disambiguation note to the README

    Why:

    COPY-PASTE FIX
    Please note: This project is a generative AI web UI and is not related to the OCaml Biniou data serialization library.

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 Woolverine94/biniou
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. Ollama · recommended 1×
  3. oobabooga/text-generation-webui · recommended 1×
  4. InvokeAI · recommended 1×
  5. Automatic1111/stable-diffusion-webui · recommended 1×
  • CATEGORY QUERY
    What are good options for a self-hosted web interface to run various generative AI models locally?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. text-generation-webui (oobabooga/text-generation-webui)
    4. InvokeAI
    5. Automatic1111/stable-diffusion-webui (Automatic1111/stable-diffusion-webui)
    6. LocalAI
    7. Jan

    AI recommended 7 alternatives but never named Woolverine94/biniou. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I run a local generative AI chatbot and image creation web UI on limited hardware?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Fooocus (lllyasviel/Fooocus)
    3. Automatic1111 (AUTOMATIC1111/stable-diffusion-webui)
    4. Ollama (ollama/ollama)
    5. Open WebUI (open-webui/open-webui)
    6. InvokeAI (invoke-ai/InvokeAI)
    7. Jan (janhq/jan)
    8. ComfyUI (comfyanonymous/ComfyUI)
    9. GPT4All (nomic-ai/gpt4all)
    10. Diffusers (huggingface/diffusers)
    11. Streamlit (streamlit/streamlit)
    12. Gradio (gradio-app/gradio)

    AI recommended 12 alternatives but never named Woolverine94/biniou. 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 Woolverine94/biniou?
    pass
    AI named Woolverine94/biniou explicitly

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

  • If a team adopts Woolverine94/biniou in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Woolverine94/biniou 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 Woolverine94/biniou solve, and who is the primary audience?
    pass
    AI named Woolverine94/biniou 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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MARKDOWN (README)
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Woolverine94/biniou — 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