RRepoGEO

REPOGEO REPORT · LITE

foivospar/Arc2Face

Default branch main · commit 8f3acd70 · scanned 6/1/2026, 11:58:12 AM

GitHub: 798 stars · 60 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 foivospar/Arc2Face, 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
  • mediumreadme#1
    Reorder the README to present the core project before its latest extension

    Why:

    CURRENT
    The README starts with `## 🚀 NEW (2025): ID-Consistent, Precise Expression Generation with Blendshape-Guided Diffusion` followed by the main title `# Arc2Face: A Foundation Model for ID-Consistent Human Faces`.
    COPY-PASTE FIX
    Move the main project title `# Arc2Face: A Foundation Model for ID-Consistent Human Faces` and its immediate introductory paragraph to appear *before* the `## 🚀 NEW (2025)` section.
  • lowtopics#2
    Add broader generative AI and diffusion model topics

    Why:

    CURRENT
    blendshapes, expression-adapter, expressions, face, face-generation, id-embedding, personalization, stable-diffusion, subject-driven-generation
    COPY-PASTE FIX
    blendshapes, diffusion-models, expression-adapter, expressions, face, face-generation, generative-ai, id-embedding, personalization, stable-diffusion, subject-driven-generation

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 foivospar/Arc2Face
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
StyleGAN
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. StyleGAN · recommended 1×
  2. GANSpace · recommended 1×
  3. InterFaceGAN · recommended 1×
  4. StyleCLIP · recommended 1×
  5. Basel Face Model · recommended 1×
  • CATEGORY QUERY
    How to generate human faces that maintain identity across varied expressions?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN
    2. GANSpace
    3. InterFaceGAN
    4. StyleCLIP
    5. Basel Face Model
    6. FLAME
    7. 3DMM-CNN
    8. NeRF
    9. EG3D
    10. Stable Diffusion
    11. DALL-E 2
    12. Dreambooth
    13. LoRA
    14. FOMM
    15. DeepFaceLab
    16. FaceSwap

    AI recommended 16 alternatives but never named foivospar/Arc2Face. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a model to generate realistic facial expressions using blendshape guidance.
    you: not recommended
    AI recommended (in order):
    1. DeepMotion Animate 3D
    2. FaceFX
    3. MetaHuman Animator
    4. ARKit
    5. Faceware Studio
    6. Rokoko Studio
    7. Blender
    8. FaceBuilder
    9. Faceit

    AI recommended 9 alternatives but never named foivospar/Arc2Face. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 foivospar/Arc2Face?
    pass
    AI named foivospar/Arc2Face explicitly

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

  • If a team adopts foivospar/Arc2Face in production, what risks or prerequisites should they evaluate first?
    pass
    AI named foivospar/Arc2Face 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 foivospar/Arc2Face solve, and who is the primary audience?
    pass
    AI named foivospar/Arc2Face explicitly

    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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MARKDOWN (README)
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foivospar/Arc2Face — 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