RRepoGEO

REPOGEO REPORT · LITE

Emily2040/seedance-2.0

Default branch main · commit 30e26863 · scanned 6/2/2026, 2:07:09 AM

GitHub: 578 stars · 119 forks

AI VISIBILITY SCORE
28 /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
2 / 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 Emily2040/seedance-2.0, 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 H1 to explicitly state the repo's core function

    Why:

    CURRENT
    # Seedance 2.0 Skill OS
    COPY-PASTE FIX
    # Seedance 2.0 Skill OS: An Agent System for Quad-Modal AI Filmmaking
  • hightopics#2
    Add comprehensive topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-filmmaking, agent-system, video-generation, text-to-video, image-to-video, video-to-video, multi-modal-ai, generative-ai, seedance-2-0, bytedance, runwayml, ip-safeguards, production-pipeline
  • mediumhomepage#3
    Add the project's homepage URL

    Why:

    COPY-PASTE FIX
    Add the URL for the project's main website (e.g., the 'Website' link mentioned in the README).

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 Emily2040/seedance-2.0
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. huggingface/diffusers · recommended 1×
  3. pytorch/pytorch · recommended 1×
  4. tensorflow/tensorflow · recommended 1×
  5. FFmpeg · recommended 1×
  • CATEGORY QUERY
    How to build a comprehensive AI-driven production pipeline for multi-modal video generation?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Hugging Face Diffusers (huggingface/diffusers)
    3. PyTorch (pytorch/pytorch)
    4. TensorFlow (tensorflow/tensorflow)
    5. FFmpeg
    6. OpenCV (opencv/opencv)
    7. Kubeflow (kubeflow/kubeflow)
    8. MLflow (mlflow/mlflow)
    9. AWS S3
    10. Google Cloud Storage
    11. Azure Blob Storage
    12. Docker (moby/moby)
    13. Kubernetes (kubernetes/kubernetes)

    AI recommended 13 alternatives but never named Emily2040/seedance-2.0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an agent-based system to direct AI video generation with intellectual property safeguards.
    you: not recommended
    AI recommended (in order):
    1. RunwayML
    2. langchain
    3. crewAI
    4. Stability AI
    5. NVIDIA Omniverse
    6. Isaac Sim
    7. Google Cloud Vertex AI
    8. Cloud Functions
    9. Pub/Sub
    10. BigQuery
    11. Azure Machine Learning
    12. Azure Functions
    13. Event Grid
    14. Azure Cosmos DB

    AI recommended 14 alternatives but never named Emily2040/seedance-2.0. 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 Emily2040/seedance-2.0?
    pass
    AI named Emily2040/seedance-2.0 explicitly

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

  • If a team adopts Emily2040/seedance-2.0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Emily2040/seedance-2.0 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 Emily2040/seedance-2.0 solve, and who is the primary audience?
    pass
    AI did not name Emily2040/seedance-2.0 — likely talking about a different project

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

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Emily2040/seedance-2.0 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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