RRepoGEO

REPOGEO REPORT · LITE

jianzhnie/awesome-text-to-video

Default branch main · commit 6a2fac4a · scanned 6/21/2026, 3:22:51 PM

GitHub: 736 stars · 100 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 jianzhnie/awesome-text-to-video, 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
    Add 'awesome-list' and 'survey' to repository topics

    Why:

    CURRENT
    aigc, image-generation, text-to-image, text-to-video, video-generation
    COPY-PASTE FIX
    aigc, image-generation, text-to-image, text-to-video, video-generation, awesome-list, survey
  • mediumabout#2
    Clarify the 'About' description to explicitly mention 'awesome list'

    Why:

    CURRENT
    A Survey on Text-to-Video Generation/Synthesis.
    COPY-PASTE FIX
    A comprehensive survey and awesome list of Text-to-Video Generation/Synthesis resources.
  • lowhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/jianzhnie/awesome-text-to-video

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 jianzhnie/awesome-text-to-video
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Synthesys AI Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Synthesys AI Studio · recommended 1×
  2. HeyGen · recommended 1×
  3. Descript · recommended 1×
  4. Pictory AI · recommended 1×
  5. InVideo · recommended 1×
  • CATEGORY QUERY
    I need to generate video content from text; what are the leading AI tools available?
    you: not recommended
    AI recommended (in order):
    1. Synthesys AI Studio
    2. HeyGen
    3. Descript
    4. Pictory AI
    5. InVideo
    6. Fliki
    7. DeepMotion

    AI recommended 7 alternatives but never named jianzhnie/awesome-text-to-video. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a survey of open-source models and research in text-to-video synthesis?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Models
    2. diffusers library
    3. Stable Video Diffusion (SVD)
    4. ModelScope Text-to-Video Synthesis
    5. VideoCrafter
    6. Phenaki
    7. Make-A-Video (Meta AI)
    8. VideoGPT
    9. NÜWA
    10. Papers With Code
    11. arXiv
    12. The Batch by DeepLearning.AI
    13. Towards Data Science
    14. SyncedReview

    AI recommended 14 alternatives but never named jianzhnie/awesome-text-to-video. 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 jianzhnie/awesome-text-to-video?
    pass
    AI named jianzhnie/awesome-text-to-video explicitly

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

  • If a team adopts jianzhnie/awesome-text-to-video in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jianzhnie/awesome-text-to-video 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 jianzhnie/awesome-text-to-video solve, and who is the primary audience?
    pass
    AI did not name jianzhnie/awesome-text-to-video — 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?

Embed your GEO score

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jianzhnie/awesome-text-to-video — 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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