RRepoGEO

REPOGEO REPORT · LITE

OpenTalker/StyleHEAT

Default branch main · commit 9cb0c7ca · scanned 6/12/2026, 9:17:03 PM

GitHub: 658 stars · 86 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 OpenTalker/StyleHEAT, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clarify its nature as an open-source framework

    Why:

    CURRENT
    # StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pretrained StyleGAN (ECCV 2022)
    COPY-PASTE FIX
    # StyleHEAT: An Open-Source Research Framework for One-Shot High-Resolution Editable Talking Face Generation via Pretrained StyleGAN (ECCV 2022)
  • mediumreadme#2
    Add a section clarifying StyleHEAT's relationship with SadTalker and other frameworks

    Why:

    COPY-PASTE FIX
    ## Comparison with SadTalker and Other Frameworks

StyleHEAT incorporates SadTalker for its audio-driven talking head capabilities, building upon it to offer high-resolution, editable talking face generation via pretrained StyleGAN. Unlike standalone audio-reenactment tools, StyleHEAT focuses on disentangled control, flexible face editing, and leveraging StyleGAN's latent space for superior visual quality and editability. While frameworks like GeneFace++ and Wav2Lip focus on specific aspects of talking head generation, StyleHEAT provides a unified framework for high-resolution video generation with advanced editing features.

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 OpenTalker/StyleHEAT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion · recommended 2×
  2. Synthesia · recommended 1×
  3. D-ID · recommended 1×
  4. HeyGen · recommended 1×
  5. RunwayML · recommended 1×
  • CATEGORY QUERY
    How to generate high-resolution video of a talking face from audio input?
    you: not recommended
    AI recommended (in order):
    1. Synthesia
    2. D-ID
    3. HeyGen
    4. DeepMotion
    5. RunwayML
    6. SadTalker (OpenTalker/SadTalker)
    7. Wav2Lip (Rudrabha/Wav2Lip)

    AI recommended 7 alternatives but never named OpenTalker/StyleHEAT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable editable high-resolution talking head generation with disentangled control?
    you: not recommended
    AI recommended (in order):
    1. SadTalker
    2. GeneFace++
    3. Wav2Lip
    4. Face-vid2vid
    5. Stable Diffusion
    6. Midjourney
    7. DeepMotion
    8. MetaHuman Animator

    AI recommended 8 alternatives but never named OpenTalker/StyleHEAT. 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 OpenTalker/StyleHEAT?
    pass
    AI named OpenTalker/StyleHEAT explicitly

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

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

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

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OpenTalker/StyleHEAT — 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