RRepoGEO

REPOGEO REPORT · LITE

Lightricks/LTX-2

Default branch main · commit 17999885 · scanned 5/23/2026, 12:08:04 AM

GitHub: 6,866 stars · 1,102 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 Lightricks/LTX-2, 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
  • hightopics#1
    Expand repository topics to include specific generative AI terms

    Why:

    CURRENT
    generative-ai, ltx, ltx-2
    COPY-PASTE FIX
    generative-ai, ltx, ltx-2, video-generation, audio-generation, foundation-model, diffusion-models, text-to-video
  • highreadme#2
    Reinforce the generative nature in the README's opening paragraph

    Why:

    CURRENT
    LTX-2 is the first DiT-based audio-video foundation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access.
    COPY-PASTE FIX
    LTX-2 is the first DiT-based audio-video foundation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access. This package enables the creation of new, high-quality video and audio content from various inputs, including text and audio prompts.
  • mediumreadme#3
    Add a section to the README clarifying the project's license

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to the LICENSE file for full details.

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 Lightricks/LTX-2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MoviePy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MoviePy · recommended 1×
  2. PyAV · recommended 1×
  3. OpenCV · recommended 1×
  4. Pydub · recommended 1×
  5. Scipy · recommended 1×
  • CATEGORY QUERY
    What are the best Python libraries for generating high-fidelity synchronized audio and video content?
    you: not recommended
    AI recommended (in order):
    1. MoviePy
    2. PyAV
    3. OpenCV
    4. Pydub
    5. Scipy
    6. FFmpeg
    7. ffmpeg-python

    AI recommended 7 alternatives but never named Lightricks/LTX-2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I train custom generative models for high-quality video creation with audio synchronization?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Jukebox
    2. DALL-E 3
    3. Sora
    4. RunwayML Gen-1
    5. RunwayML Gen-2
    6. Meta's Make-A-Video
    7. AudioGen
    8. Google's Phenaki
    9. Imagen Video
    10. Stable Diffusion
    11. ControlNet
    12. AnimateDiff
    13. Riffusion
    14. Hugging Face Transformers
    15. audiocraft
    16. PyTorch
    17. TensorFlow

    AI recommended 17 alternatives but never named Lightricks/LTX-2. 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 Lightricks/LTX-2?
    pass
    AI named Lightricks/LTX-2 explicitly

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

  • If a team adopts Lightricks/LTX-2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Lightricks/LTX-2 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 Lightricks/LTX-2 solve, and who is the primary audience?
    pass
    AI named Lightricks/LTX-2 explicitly

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

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Lightricks/LTX-2 — 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