RRepoGEO

REPOGEO REPORT · LITE

bilibili/Index-anisora

Default branch main · commit e244b6e1 · scanned 5/21/2026, 12:07:45 PM

GitHub: 2,440 stars · 144 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 bilibili/Index-anisora, 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
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    Index-AniSora is Bilibili's open-source anime video generation model, enabling one-click creation of video shots across diverse anime styles, including series, manga adaptations, and VTuber content.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    anime-generation, video-generation, ai-model, deep-learning, computer-vision, image-to-video, animation, bilibili
  • mediumhomepage#3
    Set the project homepage to the Hugging Face model page

    Why:

    COPY-PASTE FIX
    https://huggingface.co/IndexTeam/Index-anisora

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 bilibili/Index-anisora
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 1×
  2. ControlNet · recommended 1×
  3. Deforum Stable Diffusion · recommended 1×
  4. AnimateDiff · recommended 1×
  5. EbSynth · recommended 1×
  • CATEGORY QUERY
    What open-source AI models can generate diverse anime-style video content?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. ControlNet
    3. Deforum Stable Diffusion
    4. AnimateDiff
    5. EbSynth
    6. ModelScope Text-to-Video Synthesis (T2V)
    7. Tune-A-Video
    8. Phenaki (Google Research)
    9. CogVideo (CogView2)

    AI recommended 9 alternatives but never named bilibili/Index-anisora. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to quickly create animated video shots for manga adaptations or VTuber content?
    you: not recommended
    AI recommended (in order):
    1. Clip Studio Paint EX
    2. Live2D Cubism
    3. Adobe Character Animator
    4. After Effects
    5. Moho Pro
    6. Toon Boom Harmony
    7. Blender

    AI recommended 7 alternatives but never named bilibili/Index-anisora. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 bilibili/Index-anisora?
    pass
    AI named bilibili/Index-anisora explicitly

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

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

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

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bilibili/Index-anisora — 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