RRepoGEO

REPOGEO REPORT · LITE

MiniMax-AI/MiniMax-01

Default branch main · commit 57cf223b · scanned 5/21/2026, 7:27:50 PM

GitHub: 3,419 stars · 327 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
33 /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
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 MiniMax-AI/MiniMax-01, 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's opening to immediately clarify the project's domain

    Why:

    CURRENT
    The README starts with a logo, many links, then '# MiniMax-01' and '## 1. Introduction'.
    COPY-PASTE FIX
    Insert a concise, descriptive sentence right after the main title (e.g., '# MiniMax-01') that clearly states the project's purpose, such as: 'MiniMax-01 is the official repository for MiniMax-Text-01 and MiniMax-VL-01, state-of-the-art large language models (LLMs) and vision-language models (VLMs) built with Linear Attention.'
  • mediumreadme#2
    Expand the README's introduction to highlight key features and applications

    Why:

    CURRENT
    We are delighted to introduce two remarkable models, **MiniMax-Text-01** and **MiniMax-VL-01**.
    COPY-PASTE FIX
    Expand the introduction to include: 'We are delighted to introduce two remarkable models, **MiniMax-Text-01** and **MiniMax-VL-01**. MiniMax-Text-01 is a powerful large language model designed for advanced natural language understanding and generation tasks, while MiniMax-VL-01 is a cutting-edge vision-language model enabling multimodal understanding and generation. Both models leverage innovative Linear Attention mechanisms for high performance and efficiency.'
  • lowreadme#3
    Add a dedicated section for key differentiators and performance

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, '## 3. Key Features and Differentiators', detailing aspects like 'high performance, efficiency, faster inference times' and the 'Linear Attention' mechanism, comparing them to common alternatives.

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 MiniMax-AI/MiniMax-01
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
—
No competitor dominated
  • CATEGORY QUERY
    What are the best large language models for building conversational AI agents?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Which vision-language models are available for multimodal understanding and generation?
    you: not recommended
    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 MiniMax-AI/MiniMax-01?
    pass
    AI named MiniMax-AI/MiniMax-01 explicitly

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

  • If a team adopts MiniMax-AI/MiniMax-01 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MiniMax-AI/MiniMax-01 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 MiniMax-AI/MiniMax-01 solve, and who is the primary audience?
    pass
    AI did not name MiniMax-AI/MiniMax-01 — 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?

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MiniMax-AI/MiniMax-01 — 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