RRepoGEO

REPOGEO REPORT · LITE

AIDC-AI/Ovis

Default branch main · commit 4de49461 · scanned 5/24/2026, 10:12:55 AM

GitHub: 1,451 stars · 84 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 AIDC-AI/Ovis, 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
  • mediumreadme#1
    Add a 'Key Features' section to README

    Why:

    COPY-PASTE FIX
    ## Key Features
*   Native-resolution visual perception
*   Enhanced reflective reasoning (thinking mode)
*   Leading performance across STEM, chart analysis, grounding, and video understanding
*   Advanced video and multi-image processing
*   Expanded multilingual OCR support
*   Improved high-resolution image handling
  • lowabout#2
    Expand the 'About' description with key capabilities

    Why:

    CURRENT
    A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.
    COPY-PASTE FIX
    Ovis is a novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings. It features native-resolution visual perception, enhanced reflective reasoning, and leading performance in areas like STEM, chart analysis, grounding, and video understanding.

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 AIDC-AI/Ovis
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4o
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4o · recommended 2×
  2. GPT-4 with Vision · recommended 1×
  3. Google Gemini Pro Vision · recommended 1×
  4. Llama 3 · recommended 1×
  5. BLIP-2 · recommended 1×
  • CATEGORY QUERY
    How can I build a chatbot that understands both images and text inputs?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4o
    2. GPT-4 with Vision
    3. Google Gemini Pro Vision
    4. Llama 3
    5. BLIP-2
    6. MiniGPT-4
    7. LLaVA
    8. Hugging Face Transformers
    9. ViLT
    10. OFA
    11. BLIP
    12. GIT
    13. GPT-2
    14. T5
    15. Microsoft Azure AI
    16. Azure OpenAI Service
    17. Azure AI Vision
    18. Azure AI Language

    AI recommended 18 alternatives but never named AIDC-AI/Ovis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a multimodal LLM for advanced visual reasoning, chart analysis, and video understanding.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4o
    3. Llama 3-V
    4. Claude 3 Opus
    5. CogVLM
    6. Qwen-VL-Plus

    AI recommended 6 alternatives but never named AIDC-AI/Ovis. 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 AIDC-AI/Ovis?
    pass
    AI named AIDC-AI/Ovis explicitly

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

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

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

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AIDC-AI/Ovis — 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