RRepoGEO

REPOGEO REPORT · LITE

DLYuanGod/TinyGPT-V

Default branch main · commit 836d3844 · scanned 5/9/2026, 4:16:45 AM

GitHub: 1,314 stars · 79 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 DLYuanGod/TinyGPT-V, 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 project summary paragraph to the README

    Why:

    CURRENT
    <font size='5'>**TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones**</font>

Zhengqing Yuan✟, Zhaoxu Li❁, Weiran Huang❋, Yanfang Ye✟, Lichao Sun❁
    COPY-PASTE FIX
    <font size='5'>**TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones**</font>

TinyGPT-V is an efficient multimodal large language model designed for resource-constrained environments, achieving high performance by integrating a tiny vision backbone (ViT-tiny) with a small language model (Phi-2). It makes advanced vision-language capabilities accessible on consumer-grade GPUs.

Zhengqing Yuan✟, Zhaoxu Li❁, Weiran Huang❋, Yanfang Ye✟, Lichao Sun❁
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/Tyrannosaurus/TinyGPT-V

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 DLYuanGod/TinyGPT-V
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MobileVLM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MobileVLM · recommended 1×
  2. TinyCLIP · recommended 1×
  3. LLaVA-Lite · recommended 1×
  4. MiniGPT-4 · recommended 1×
  5. BLIP-2 · recommended 1×
  • CATEGORY QUERY
    What are some lightweight multimodal large language models for resource-constrained environments?
    you: not recommended
    AI recommended (in order):
    1. MobileVLM
    2. TinyCLIP
    3. LLaVA-Lite
    4. MiniGPT-4
    5. BLIP-2
    6. OpenFlamingo

    AI recommended 6 alternatives but never named DLYuanGod/TinyGPT-V. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking multimodal AI models that offer high performance without massive computational overhead.
    you: not recommended
    AI recommended (in order):
    1. OpenAI's CLIP
    2. Google's ALIGN
    3. Meta's DINO
    4. Hugging Face Transformers Library
    5. ViLT
    6. BLIP
    7. Microsoft's Florence
    8. OpenCLIP

    AI recommended 8 alternatives but never named DLYuanGod/TinyGPT-V. 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 DLYuanGod/TinyGPT-V?
    pass
    AI named DLYuanGod/TinyGPT-V explicitly

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

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