RRepoGEO

REPOGEO REPORT · LITE

becauseofAI/awesome-face

Default branch master · commit 640700c2 · scanned 6/19/2026, 12:22:53 AM

GitHub: 1,293 stars · 210 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
33 /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
2 / 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 becauseofAI/awesome-face, 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
    Reposition the README's opening line to highlight comprehensive scope

    Why:

    CURRENT
    An Awesome Face Technology Repository. (**Updating**)
    COPY-PASTE FIX
    An Awesome Face Technology Repository: A comprehensive and diverse collection of papers, datasets, tools, and projects across all major face-related AI/computer vision sub-domains.
  • mediumreadme#2
    Add a dedicated section to the README detailing the repo's unique differentiators

    Why:

    COPY-PASTE FIX
    Add a new section (e.g., 'Why HelloFace?' or 'Scope and Differentiators') with content like: 'HelloFace stands out for its exceptionally broad and comprehensive coverage, curating resources across all major face-related AI/computer vision sub-domains including detection, recognition, generation, manipulation, and anti-spoofing. We provide a diverse range of resources, from cutting-edge research papers and benchmark datasets to practical tools and open-source projects.'
  • lowtopics#3
    Add the 'awesome-list' topic to explicitly categorize the repository

    Why:

    CURRENT
    artificial-intelligence, awesome-face, deep-learning, face, face-3d, face-action, face-anti-spoofing, face-benchmark, face-clustering, face-code, face-deblurring, face-detection, face-expression, face-gan, face-landmark, face-manipulation, face-paper, face-recognition, face-super-resolution, machine-learning
    COPY-PASTE FIX
    artificial-intelligence, awesome-face, awesome-list, deep-learning, face, face-3d, face-action, face-anti-spoofing, face-benchmark, face-clustering, face-code, face-deblurring, face-detection, face-expression, face-gan, face-landmark, face-manipulation, face-paper, face-recognition, face-super-resolution, machine-learning

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 becauseofAI/awesome-face
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 2×
  2. ZhaoJ901/Awesome-Face-Recognition · recommended 1×
  3. Papers With Code - Face Recognition · recommended 1×
  4. DLIB · recommended 1×
  5. Kaggle · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of resources for various face technology tasks?
    you: not recommended
    AI recommended (in order):
    1. Awesome Face Recognition (ZhaoJ901/Awesome-Face-Recognition)
    2. Papers With Code - Face Recognition
    3. OpenCV
    4. DLIB
    5. Kaggle
    6. Google AI Blog
    7. Microsoft Research Blog
    8. Facebook AI Research (FAIR) Blog
    9. ArXiv

    AI recommended 9 alternatives but never named becauseofAI/awesome-face. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best deep learning frameworks for real-time face detection and recognition?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. TensorFlow Lite
    3. TensorFlow.js
    4. PyTorch
    5. TorchScript
    6. ONNX Runtime
    7. OpenCV
    8. MXNet
    9. Apache TVM
    10. Caffe
    11. Caffe2

    AI recommended 11 alternatives but never named becauseofAI/awesome-face. 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 becauseofAI/awesome-face?
    pass
    AI did not name becauseofAI/awesome-face — likely talking about a different project

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

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

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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