RRepoGEO

REPOGEO REPORT · LITE

MiniMax-AI/MiniMax-M2.5

Default branch main · commit 0fe00c84 · scanned 6/9/2026, 9:47:20 PM

GitHub: 584 stars · 77 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 MiniMax-AI/MiniMax-M2.5, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Official repository for MiniMax AI's proprietary large language model, MiniMax-M2.5, a commercial and API-accessible model for advanced text generation and conversational AI.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ["llm", "large-language-model", "text-generation", "conversational-ai", "ai-api", "minimax-ai"]
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://www.minimax.io

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-M2.5
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Cohere API · recommended 2×
  3. Anthropic Claude API · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    What are the best platforms for integrating advanced text generation capabilities into my application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude API
    3. Google Cloud Vertex AI
    4. Hugging Face Transformers
    5. Cohere API
    6. AI21 Labs API
    7. Microsoft Azure OpenAI Service

    AI recommended 7 alternatives but never named MiniMax-AI/MiniMax-M2.5. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I find an API for creating intelligent conversational AI agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Dialogflow
    3. Cohere API
    4. Hugging Face Transformers (huggingface/transformers)
    5. Amazon Lex
    6. Azure OpenAI Service
    7. Azure Bot Service

    AI recommended 7 alternatives but never named MiniMax-AI/MiniMax-M2.5. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 MiniMax-AI/MiniMax-M2.5?
    pass
    AI named MiniMax-AI/MiniMax-M2.5 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-M2.5 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MiniMax-AI/MiniMax-M2.5 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-M2.5 solve, and who is the primary audience?
    pass
    AI named MiniMax-AI/MiniMax-M2.5 explicitly

    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-M2.5 — 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