RRepoGEO

REPOGEO REPORT · LITE

ParisNeo/lollms-webui

Default branch main · commit 3a5ad418 · scanned 5/8/2026, 10:16:30 PM

GitHub: 4,781 stars · 583 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ParisNeo/lollms-webui, 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
    Clarify the project's current status and value proposition in the README's opening.

    Why:

    CURRENT
    A new lollms project can be found at: https://github.com/ParisNeo/lollms This is a more advanced version with multi users and MCP compatibility. The lollms webui keeps a minimal support and will eventually be completely replaced by the new lollms project.
    COPY-PASTE FIX
    LoLLMs WebUI provides a robust, fully integrated web interface for local, single-user experimentation with a wide range of Large Language Models and multimodal AI systems. For multi-user and advanced features, please refer to the main `lollms` project at https://github.com/ParisNeo/lollms.
  • mediumreadme#2
    Add a concise 'Why choose LoLLMs WebUI?' section or bulleted feature list to the README.

    Why:

    COPY-PASTE FIX
    ### Why choose LoLLMs WebUI?
- **Local & Single-User Focus:** Optimized for personal, private experimentation with LLMs on your own hardware.
- **Multi-Model & Multi-Modal Support:** Seamlessly integrate and switch between various LLMs and AI models for text, image, and music generation, and more.
- **User-Friendly Interface:** Designed for ease of use, making advanced AI accessible to enthusiasts and developers.
- **Comprehensive Toolset:** Offers features for writing, coding, data organization, image analysis, and question answering.
  • lowtopics#3
    Expand repository topics with more specific keywords.

    Why:

    CURRENT
    ai, llm, text-generation
    COPY-PASTE FIX
    ai, llm, text-generation, web-ui, local-llm, multimodal-ai, llm-interface, local-inference

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 ParisNeo/lollms-webui
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 2×
  3. Jan · recommended 2×
  4. Open WebUI · recommended 1×
  5. text-generation-webui · recommended 1×
  • CATEGORY QUERY
    How can I run a local web interface for multiple large language models?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Open WebUI
    4. Jan
    5. text-generation-webui
    6. LocalAI

    AI recommended 6 alternatives but never named ParisNeo/lollms-webui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source web UIs for experimenting with local LLMs and multimodal AI?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. Text Generation WebUI (oobabooga/text-generation-webui)
    5. KoboldAI Lite
    6. Gradio
    7. Streamlit

    AI recommended 7 alternatives but never named ParisNeo/lollms-webui. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 ParisNeo/lollms-webui?
    pass
    AI named ParisNeo/lollms-webui explicitly

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

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

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

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ParisNeo/lollms-webui — 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