RRepoGEO

REPOGEO REPORT · LITE

fudan-generative-vision/hallo3

Default branch main · commit e342dcec · scanned 5/29/2026, 12:42:51 AM

GitHub: 1,385 stars · 179 forks

AI VISIBILITY SCORE
35 /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
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 fudan-generative-vision/hallo3, 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
    Add a concise problem statement to the README's introduction

    Why:

    CURRENT
    The README immediately follows the title with author/affiliation blocks.
    COPY-PASTE FIX
    Insert a sentence or two immediately after the author/affiliation block, e.g., 'Hallo3 addresses the challenge of animating static portrait images into highly dynamic and realistic videos, leveraging advanced video diffusion transformers to achieve unprecedented realism and expressiveness.'
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ['portrait-animation', 'video-diffusion', 'generative-ai', 'computer-vision', 'image-animation', 'talking-head', 'cvpr-2025']
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://fudan-generative-vision.github.io/hallo3/#/

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 fudan-generative-vision/hallo3
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Synthesia
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Synthesia · recommended 2×
  2. DeepMotion Animate 3D · recommended 1×
  3. MyHeritage Deep Nostalgia · recommended 1×
  4. D-ID Creative Reality Studio · recommended 1×
  5. RunwayML · recommended 1×
  • CATEGORY QUERY
    How can I animate a static portrait image into a dynamic, realistic video?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Animate 3D
    2. MyHeritage Deep Nostalgia
    3. D-ID Creative Reality Studio
    4. Synthesia
    5. RunwayML
    6. Adobe After Effects
    7. DeepMotion's After Effects plugin
    8. Stable Diffusion
    9. Midjourney
    10. ControlNet
    11. SadTalker
    12. WarpFusion

    AI recommended 12 alternatives but never named fudan-generative-vision/hallo3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can generate highly dynamic and realistic talking head videos from a single image?
    you: not recommended
    AI recommended (in order):
    1. HeyGen
    2. Synthesia
    3. D-ID (Creative Reality Studio)
    4. DeepMotion (Animate 3D)
    5. RunwayML (Gen-1/Gen-2)
    6. Pika Labs
    7. Adobe Character Animator

    AI recommended 7 alternatives but never named fudan-generative-vision/hallo3. 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 fudan-generative-vision/hallo3?
    pass
    AI named fudan-generative-vision/hallo3 explicitly

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

  • If a team adopts fudan-generative-vision/hallo3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fudan-generative-vision/hallo3 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 fudan-generative-vision/hallo3 solve, and who is the primary audience?
    pass
    AI named fudan-generative-vision/hallo3 explicitly

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

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fudan-generative-vision/hallo3 — 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