RRepoGEO

REPOGEO REPORT · LITE

SkyworkAI/Skywork-R1V

Default branch main · commit 7c24efda · scanned 5/22/2026, 10:38:02 PM

GitHub: 3,160 stars · 281 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 SkyworkAI/Skywork-R1V, 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
    Reposition the README's opening to clearly state its multimodal, vision-language, and open-source nature

    Why:

    CURRENT
    Welcome to the Skywork-R1V repository! Here, you'll find a series of state-of-the-art multimodal reasoning models with powerful agentic capabilities. From open-source versions with model weights and inference code to our latest closed-source offerings, the Skywork-R1V series delivers exceptional performance across vision understanding, code execution, and deep research tasks.
    COPY-PASTE FIX
    Welcome to the Skywork-R1V repository! This repository features the Skywork-R1V series: state-of-the-art **open-source multimodal vision-language models (VLMs)** with powerful agentic reasoning capabilities. Specializing in vision understanding, code execution, and deep research tasks, Skywork-R1V models deliver exceptional performance and include readily available model weights and inference code.
  • mediumtopics#2
    Add specific topics for 'vision-language model' and 'agentic AI'

    Why:

    CURRENT
    deepseek-r1, grpo, llm, multimodal-r1, multimodal-understanding, r1v, reasoning, reinforcement-learning, skywork-r1v, vlm, vlm-r1
    COPY-PASTE FIX
    deepseek-r1, grpo, llm, multimodal-r1, multimodal-understanding, r1v, reasoning, reinforcement-learning, skywork-r1v, vlm, vlm-r1, vision-language-model, agentic-ai
  • lowreadme#3
    Add a dedicated 'Key Capabilities' section to highlight core features

    Why:

    COPY-PASTE FIX
    Add a new section immediately after the introductory paragraph, e.g.:
    
    ## ✨ Key Capabilities
    The Skywork-R1V series excels in:
    *   **Multimodal Vision-Language Reasoning:** Advanced understanding and generation across image and text.
    *   **Agentic Capabilities:** Empowering models with planning and tool-use for complex tasks.
    *   **Code Execution:** Ability to generate and execute code for problem-solving.
    *   **Deep Research Tasks:** Supporting complex analytical and exploratory work.
    *   **Efficient Inference:** Quantized versions available for optimized performance.

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 SkyworkAI/Skywork-R1V
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LLaVA
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LLaVA · recommended 2×
  2. GPT-4o · recommended 1×
  3. Gemini 1.5 Pro · recommended 1×
  4. Llama 3 · recommended 1×
  5. Fuyu-8B · recommended 1×
  • CATEGORY QUERY
    Looking for an AI model that combines vision-language understanding with agentic reasoning capabilities.
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Gemini 1.5 Pro
    3. Llama 3
    4. LLaVA
    5. Fuyu-8B
    6. Claude 3 Opus
    7. OWL-ViT
    8. OWL-V2
    9. GPT-4

    AI recommended 9 alternatives but never named SkyworkAI/Skywork-R1V. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a lightweight, fast multimodal model for efficient vision understanding and deep research tasks.
    you: not recommended
    AI recommended (in order):
    1. MobileVLM / MobileVLM V2
    2. LLaVA
    3. MiniGPT-4
    4. BLIP-2
    5. Flamingo
    6. OpenCLIP

    AI recommended 6 alternatives but never named SkyworkAI/Skywork-R1V. 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 SkyworkAI/Skywork-R1V?
    pass
    AI named SkyworkAI/Skywork-R1V explicitly

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

  • If a team adopts SkyworkAI/Skywork-R1V in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SkyworkAI/Skywork-R1V 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 SkyworkAI/Skywork-R1V solve, and who is the primary audience?
    pass
    AI named SkyworkAI/Skywork-R1V explicitly

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

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SkyworkAI/Skywork-R1V — 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