RRepoGEO

REPOGEO REPORT · LITE

OrionStarAI/Orion

Default branch master · commit 3b23aeab · scanned 6/10/2026, 4:47:51 PM

GitHub: 811 stars · 59 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
28 /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
2 / 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 OrionStarAI/Orion, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    large-language-model, llm, multilingual-llm, rag, ai-agent, foundation-model, deep-learning, nlp, apache-2.0-license
  • highreadme#2
    Add the repository's core value proposition as the first paragraph in the README

    Why:

    CURRENT
    The README currently starts with <h1>Orion-14B</h1> followed by links and a Table of Contents, with the detailed introduction appearing much later.
    COPY-PASTE FIX
    (Insert this text immediately after the <h1>Orion-14B</h1> block, before any links or Table of Contents)
"Orion-14B is a family of open-source large language models, including a 14B foundation LLM and specialized variants for chat, long context, quantization, RAG fine-tuning, and AI agent applications. It offers robust multilingual capabilities for diverse language processing tasks."
  • mediumhomepage#3
    Set the repository's homepage URL

    Why:

    COPY-PASTE FIX
    https://huggingface.co/OrionStarAI

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 OrionStarAI/Orion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 1×
  2. Claude 3 Opus / Sonnet · recommended 1×
  3. Gemini 1.5 Pro · recommended 1×
  4. Llama 3 · recommended 1×
  5. Mixtral 8x7B · recommended 1×
  • CATEGORY QUERY
    Which large language models are suitable for building RAG or AI agent applications?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus / Sonnet
    3. Gemini 1.5 Pro
    4. Llama 3
    5. Mixtral 8x7B
    6. GPT-3.5 Turbo
    7. Cohere Command R+ / Command R

    AI recommended 7 alternatives but never named OrionStarAI/Orion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust multilingual foundation LLM for diverse language processing tasks.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4
    3. Meta Llama 3
    4. Mistral AI's Mixtral 8x22B / Mistral Large
    5. Cohere Command R+
    6. Anthropic Claude 3

    AI recommended 6 alternatives but never named OrionStarAI/Orion. 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 OrionStarAI/Orion?
    pass
    AI did not name OrionStarAI/Orion — likely talking about a different project

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

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