RRepoGEO

REPOGEO REPORT · LITE

fudan-generative-vision/hallo2

Default branch main · commit 58a9aa6c · scanned 6/23/2026, 1:03:50 PM

GitHub: 3,710 stars · 536 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
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/hallo2, 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
    Clarify the README's introductory paragraph to explicitly state the project's core function

    Why:

    COPY-PASTE FIX
    Ensure the first paragraph of the README explicitly states: 'Hallo2 is a research project focused on long-duration and high-resolution audio-driven portrait image animation, enabling the creation of realistic talking head videos from audio input.'
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    audio-driven-animation, portrait-animation, talking-head-generation, generative-ai, computer-vision, deep-learning, iclr-2025
  • mediumreadme#3
    Add a 'Use Cases' or 'Applications' section to the README

    Why:

    COPY-PASTE FIX
    Add a section titled 'Use Cases' or 'Applications' to the README, including examples like: 'Creating realistic talking head videos for virtual assistants', 'Generating animated portraits for digital storytelling', or 'Producing long-duration, high-resolution video content from audio for media production.'

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/hallo2
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. HeyGen · recommended 2×
  3. DeepMotion Animate 3D · recommended 1×
  4. Adobe Character Animator · recommended 1×
  5. Blender · recommended 1×
  • CATEGORY QUERY
    How to animate static portrait images using audio for long, high-resolution videos?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Animate 3D
    2. Adobe Character Animator
    3. Synthesia
    4. HeyGen
    5. Blender
    6. FaceBuilder
    7. FaceRig
    8. After Effects
    9. DUIK Bassel
    10. Joysticks 'n Sliders
    11. RunwayML
    12. Gen-1
    13. Gen-2

    AI recommended 13 alternatives but never named fudan-generative-vision/hallo2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools offer realistic, high-resolution talking head video generation from audio input?
    you: not recommended
    AI recommended (in order):
    1. Synthesia
    2. HeyGen
    3. DeepMotion (Animate 3D)
    4. D-ID (Creative Reality Studio)
    5. RunwayML (Gen-1/Gen-2)
    6. ElevenLabs

    AI recommended 6 alternatives but never named fudan-generative-vision/hallo2. 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/hallo2?
    pass
    AI named fudan-generative-vision/hallo2 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/hallo2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fudan-generative-vision/hallo2 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/hallo2 solve, and who is the primary audience?
    pass
    AI named fudan-generative-vision/hallo2 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/hallo2 — 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