RRepoGEO

REPOGEO REPORT · LITE

AIDC-AI/Marco-o1

Default branch main · commit 4f99998d · scanned 6/27/2026, 3:37:42 PM

GitHub: 1,539 stars · 81 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 AIDC-AI/Marco-o1, 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
    Add a clear, concise positioning statement to the README's opening

    Why:

    COPY-PASTE FIX
    # 🍓 Marco-o1: Towards Efficient Reasoning Models

Marco-o1 is an open large reasoning model designed for agentic applications with comprehensive planning and function call capabilities. It is NOT an AIDC (Automatic Identification and Data Capture) system, nor is its primary focus Chinese language processing or autonomous driving.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    large-language-model, llm, reasoning, agentic-ai, function-calling, planning, open-source-ai, artificial-intelligence
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is released under [describe the actual license(s) here, e.g., 'a custom license combining elements of X and Y']. Please refer to the LICENSE file for full details.

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 AIDC-AI/Marco-o1
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Mixtral 8x7B Instruct · recommended 1×
  3. Gemma · recommended 1×
  4. Mistral 7B Instruct · recommended 1×
  5. Falcon 180B Instruct · recommended 1×
  • CATEGORY QUERY
    What open large reasoning models can handle both standard and open-ended problems?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B Instruct
    3. Gemma
    4. Mistral 7B Instruct
    5. Falcon 180B Instruct

    AI recommended 5 alternatives but never named AIDC-AI/Marco-o1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI model with strong planning and function call abilities for agentic applications.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Anthropic Claude 3 Opus
    3. Google Gemini 1.5 Pro
    4. Mistral Large
    5. Cohere Command R+

    AI recommended 5 alternatives but never named AIDC-AI/Marco-o1. 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 AIDC-AI/Marco-o1?
    pass
    AI named AIDC-AI/Marco-o1 explicitly

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

  • If a team adopts AIDC-AI/Marco-o1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AIDC-AI/Marco-o1 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 AIDC-AI/Marco-o1 solve, and who is the primary audience?
    pass
    AI named AIDC-AI/Marco-o1 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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AIDC-AI/Marco-o1 — 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