RRepoGEO

REPOGEO REPORT · LITE

yxuansu/PandaGPT

Default branch main · commit 9b77e041 · scanned 6/2/2026, 11:13:14 PM

GitHub: 856 stars · 69 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 yxuansu/PandaGPT, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    multimodal-llm, instruction-following, large-language-model, llm, multi-modal-ai, vision-language-model, audio-language-model, open-source-ai, conversational-ai
  • highreadme#2
    Add a concise introductory paragraph to the README that highlights its core differentiator

    Why:

    COPY-PASTE FIX
    PandaGPT is an open-source multi-modal large language model designed to follow instructions across diverse input types, including text, image, audio, and video. Unlike many existing models, PandaGPT provides a unified framework for comprehensive instruction-following, enabling researchers and developers to build versatile conversational agents and advanced multi-modal AI applications.
  • mediumreadme#3
    Add a 'Getting Started' or 'Prerequisites' section to clarify technical requirements

    Why:

    COPY-PASTE FIX
    ## Getting Started 
 To run PandaGPT, ensure you have Python 3.9+ and a GPU with CUDA support. Key dependencies include PyTorch and the Hugging Face Transformers library. For detailed setup and environment configuration, please refer to the `installation.md` or `setup.sh` scripts in the repository.

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 yxuansu/PandaGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4o
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4o · recommended 1×
  2. Gemini 1.5 Pro · recommended 1×
  3. Claude 3 Opus · recommended 1×
  4. LLaVA · recommended 1×
  5. CogVLM · recommended 1×
  • CATEGORY QUERY
    What AI models can follow instructions across multiple input types comprehensively?
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Gemini 1.5 Pro
    3. Claude 3 Opus
    4. LLaVA
    5. CogVLM
    6. Fuyu-8B

    AI recommended 6 alternatives but never named yxuansu/PandaGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a versatile large language model for diverse instruction-based conversational agents.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-4o
    2. Anthropic Claude 3 Opus / Sonnet
    3. Google Gemini 1.5 Pro
    4. Meta Llama 3 (8B / 70B Instruct)
    5. Mistral Large / Mixtral 8x7B Instruct
    6. Cohere Command R+

    AI recommended 6 alternatives but never named yxuansu/PandaGPT. 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 yxuansu/PandaGPT?
    pass
    AI named yxuansu/PandaGPT explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of yxuansu/PandaGPT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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yxuansu/PandaGPT — 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