RRepoGEO

REPOGEO REPORT · LITE

HJYao00/Mulberry

Default branch main · commit a49cab58 · scanned 5/13/2026, 10:38:32 AM

GitHub: 1,243 stars · 113 forks

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 HJYao00/Mulberry, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a concise purpose statement to the README's introduction

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the main H1, before the author list: "Mulberry is an open-source framework for empowering Multimodal Large Language Models (MLLMs) with advanced reasoning and reflection capabilities via Collective Monte Carlo Tree Search."
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of a standard open-source license, such as MIT or Apache-2.0.

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 HJYao00/Mulberry
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. ReAct (Reasoning and Acting) · recommended 1×
  3. AlphaZero · recommended 1×
  4. MuZero · recommended 1×
  5. Go-Explore · recommended 1×
  • CATEGORY QUERY
    How can I enhance multimodal large language models with advanced reasoning and reflection capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. ReAct (Reasoning and Acting)

    AI recommended 2 alternatives but never named HJYao00/Mulberry. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking MLLM frameworks that leverage Monte Carlo Tree Search for improved decision-making and planning.
    you: not recommended
    AI recommended (in order):
    1. AlphaZero
    2. MuZero
    3. Go-Explore
    4. OpenSpiel
    5. Ray RLib

    AI recommended 5 alternatives but never named HJYao00/Mulberry. 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 HJYao00/Mulberry?
    pass
    AI named HJYao00/Mulberry explicitly

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

  • If a team adopts HJYao00/Mulberry in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HJYao00/Mulberry 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 HJYao00/Mulberry solve, and who is the primary audience?
    pass
    AI named HJYao00/Mulberry 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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HJYao00/Mulberry — 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