RRepoGEO

REPOGEO REPORT · LITE

ModelTC/LightX2V

Default branch main · commit da4dbc4e · scanned 5/24/2026, 9:37:33 PM

GitHub: 2,290 stars · 203 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 ModelTC/LightX2V, 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 statement to clarify audience and purpose

    Why:

    CURRENT
    LightX2V is an advanced lightweight image/video generation inference framework engineered to deliver efficient, high-performance image/video synthesis solutions.
    COPY-PASTE FIX
    LightX2V is an advanced lightweight framework for developers and researchers to build and integrate high-performance image/video generation solutions.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://deepwiki.com/ModelTC/lightx2v
  • mediumtopics#3
    Expand and refine repository topics for better categorization

    Why:

    CURRENT
    auto-regressive-diffusion-model, diffusion-models, video-generation, wan-video
    COPY-PASTE FIX
    auto-regressive-diffusion-model, diffusion-models, video-generation, wan-video, generative-ai-framework, ai-development, model-inference, computer-vision, image-generation, text-to-image

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 ModelTC/LightX2V
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenVINO
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenVINO · recommended 1×
  2. ONNX Runtime · recommended 1×
  3. TensorRT · recommended 1×
  4. TFLite · recommended 1×
  5. PyTorch Mobile/TorchScript · recommended 1×
  • CATEGORY QUERY
    Seeking an efficient, lightweight inference framework for generating video from diverse inputs.
    you: not recommended
    AI recommended (in order):
    1. OpenVINO
    2. ONNX Runtime
    3. TensorRT
    4. TFLite
    5. PyTorch Mobile/TorchScript
    6. MNN

    AI recommended 6 alternatives but never named ModelTC/LightX2V. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are unified platforms for text-to-video, image-to-video, and image editing tasks?
    you: not recommended
    AI recommended (in order):
    1. RunwayML
    2. Adobe Firefly
    3. CapCut
    4. Simplified
    5. Pictory.ai
    6. HeyGen

    AI recommended 6 alternatives but never named ModelTC/LightX2V. 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 ModelTC/LightX2V?
    pass
    AI did not name ModelTC/LightX2V — 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?

  • If a team adopts ModelTC/LightX2V in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ModelTC/LightX2V 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 ModelTC/LightX2V solve, and who is the primary audience?
    pass
    AI named ModelTC/LightX2V explicitly

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

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ModelTC/LightX2V — 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