RRepoGEO

REPOGEO REPORT · LITE

Light-Heart-Labs/ODS

Default branch main · commit 361101c0 · scanned 6/30/2026, 4:11:29 AM

GitHub: 2,395 stars · 365 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 Light-Heart-Labs/ODS, 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 README H1 to be more specific and avoid name collision

    Why:

    CURRENT
    # ODS **Osmantic Deployment SystemTurn your PC, Mac, or Linux box into a private AI server.**
    COPY-PASTE FIX
    # ODS: Osmantic Deployment System - Your Private AI Server for LLMs, Agents, and Image Generation
  • mediumabout#2
    Add 'self-hosted' to the repository description

    Why:

    CURRENT
    Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.
    COPY-PASTE FIX
    Turn your PC, Mac, or Linux box into a self-hosted AI server. It provides LLM inference, a chat UI, voice, agents, workflows, RAG, and image generation.
  • lowcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, '## ODS vs. Other Local AI Tools', that explains how ODS integrates and manages multiple components (like Ollama, Open WebUI, ComfyUI, n8n) into a single, cohesive stack, differentiating it from standalone tools.

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 Light-Heart-Labs/ODS
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. AUTOMATIC1111/stable-diffusion-webui · recommended 1×
  3. lllyasviel/Fooocus · recommended 1×
  4. ollama/ollama · recommended 1×
  5. janhq/jan · recommended 1×
  • CATEGORY QUERY
    How can I set up a complete local AI server for LLMs and image generation?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Automatic1111's Stable Diffusion web UI (AUTOMATIC1111/stable-diffusion-webui)
    3. Fooocus (lllyasviel/Fooocus)
    4. Ollama (ollama/ollama)
    5. Jan (janhq/jan)
    6. Text Generation WebUI (oobabooga) (oobabooga/text-generation-webui)
    7. ComfyUI (comfyanonymous/ComfyUI)

    AI recommended 7 alternatives but never named Light-Heart-Labs/ODS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What self-hosted platform provides local AI agents, RAG, and workflow automation for personal use?
    you: not recommended
    AI recommended (in order):
    1. Home Assistant
    2. ESPHome
    3. OpenHAB
    4. Node-RED
    5. Ollama
    6. LM Studio
    7. Open-WebUI
    8. n8n
    9. Activepieces
    10. ChromaDB
    11. Weaviate
    12. LlamaIndex
    13. LangChain
    14. FAISS
    15. Streamlit
    16. Flask

    AI recommended 16 alternatives but never named Light-Heart-Labs/ODS. 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 Light-Heart-Labs/ODS?
    pass
    AI named Light-Heart-Labs/ODS explicitly

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

  • If a team adopts Light-Heart-Labs/ODS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Light-Heart-Labs/ODS 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 Light-Heart-Labs/ODS solve, and who is the primary audience?
    pass
    AI named Light-Heart-Labs/ODS 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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Light-Heart-Labs/ODS — 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