RRepoGEO

REPOGEO REPORT · LITE

WeiboAI/VibeThinker

Default branch main · commit afa5f062 · scanned 6/2/2026, 8:03:07 PM

GitHub: 575 stars · 44 forks

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 WeiboAI/VibeThinker, 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
    Update README H1 to explicitly state model's general reasoning focus

    Why:

    CURRENT
    # VibeThinker
    COPY-PASTE FIX
    # VibeThinker: A 1.5B General-Purpose Reasoning LLM for Math and Complex Problem Solving
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/WeiboAI
  • lowreadme#3
    Add explicit clarification of general-purpose nature in README introduction

    Why:

    CURRENT
    VibeThinker-1.5B is a 1.5B-parameter dense model that challenges the prevailing notion that small models inherently lack robust reasoning capabilities.
    COPY-PASTE FIX
    VibeThinker-1.5B is a 1.5B-parameter dense model that challenges the prevailing notion that small models inherently lack robust reasoning capabilities. It is a general-purpose reasoning LLM, not specialized for any particular domain like social media, and excels in mathematical and complex problem-solving tasks.

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 WeiboAI/VibeThinker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Gemma
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Gemma · recommended 2×
  2. Meta Llama 3 · recommended 1×
  3. Mistral 7B Instruct · recommended 1×
  4. Microsoft Phi-3-mini · recommended 1×
  5. OpenAI GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    Looking for a compact language model with robust reasoning capabilities for mathematical problems.
    you: not recommended
    AI recommended (in order):
    1. Meta Llama 3
    2. Google Gemma
    3. Mistral 7B Instruct
    4. Microsoft Phi-3-mini
    5. OpenAI GPT-3.5 Turbo
    6. Falcon 7B Instruct

    AI recommended 6 alternatives but never named WeiboAI/VibeThinker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which small-scale LLMs demonstrate advanced reasoning on par with much larger models?
    you: not recommended
    AI recommended (in order):
    1. Google Gemma
    2. Mistral 7B
    3. Meta Llama 2
    4. Microsoft Phi-2
    5. Qwen-1.5
    6. TinyLlama

    AI recommended 6 alternatives but never named WeiboAI/VibeThinker. 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 WeiboAI/VibeThinker?
    pass
    AI named WeiboAI/VibeThinker explicitly

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

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