RRepoGEO

REPOGEO REPORT · LITE

MiroMindAI/MiroThinker

Default branch main · commit 370f9836 · scanned 5/9/2026, 8:32:54 AM

GitHub: 8,197 stars · 622 forks

AI VISIBILITY SCORE
40 /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
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 MiroMindAI/MiroThinker, 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 introductory statement to the README

    Why:

    CURRENT
    The README currently starts with several centered links and a 'Try MiroThinker!' heading before the first descriptive sentence.
    COPY-PASTE FIX
    Add the following as the very first visible text in the README: 'MiroThinker is a standalone deep research agent, not a Miro whiteboard integration or hackathon project, optimized for complex research and prediction tasks. It achieves state-of-the-art performance on benchmarks like BrowseComp.'
  • mediumreadme#2
    Add a 'Why MiroThinker?' or 'Key Differentiators' section

    Why:

    COPY-PASTE FIX
    Add a section titled 'Why MiroThinker?' or 'Key Differentiators' that highlights its focus on deep research and prediction, benchmark performance, and how it differs from general-purpose AI frameworks or large language models. For example: 'Unlike general-purpose AI frameworks (e.g., LangChain, LlamaIndex) or large language models (e.g., GPT-4, Claude), MiroThinker is purpose-built and optimized as a deep research agent, excelling in complex information synthesis and predictive analysis, as demonstrated by its SOTA performance on BrowseComp.'
  • mediumtopics#3
    Expand topics to include specific performance and capability keywords

    Why:

    CURRENT
    agent, agent-framework, browsecomp, deep-research, futurex, gaia, hle, research-agent, search-agent, xbench
    COPY-PASTE FIX
    agent, agent-framework, benchmark-agent, browsecomp, deep-research, futurex, gaia, hle, prediction, research-agent, search-agent, sota, xbench

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 MiroMindAI/MiroThinker
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. AutoGPT · recommended 1×
  4. CrewAI · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    What are the best AI agent frameworks for complex, in-depth research and information synthesis?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. AutoGPT
    4. CrewAI
    5. Haystack
    6. OpenAI Assistants API
    7. Guidance

    AI recommended 7 alternatives but never named MiroMindAI/MiroThinker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which AI agents are optimized for web browsing tasks and predictive analysis benchmarks?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Google Gemini
    4. Perplexity AI
    5. Auto-GPT (Significant-Gravitas/Auto-GPT)
    6. BabyAGI (yoheinakajima/babyagi)
    7. Llama 3 (meta-llama/llama-models)

    AI recommended 7 alternatives but never named MiroMindAI/MiroThinker. This is the gap to close.

    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 MiroMindAI/MiroThinker?
    pass
    AI named MiroMindAI/MiroThinker explicitly

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

  • If a team adopts MiroMindAI/MiroThinker in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MiroMindAI/MiroThinker 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 MiroMindAI/MiroThinker solve, and who is the primary audience?
    pass
    AI named MiroMindAI/MiroThinker 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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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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