RRepoGEO

REPOGEO REPORT · LITE

vladmandic/face-api

Default branch master · commit 189226d6 · scanned 5/17/2026, 12:41:43 PM

GitHub: 1,052 stars · 200 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 vladmandic/face-api, 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 README H1 to clarify its identity as the actively maintained successor

    Why:

    CURRENT
    # FaceAPI
    COPY-PASTE FIX
    # FaceAPI: Actively Maintained & Modernized face-api.js
  • mediumreadme#2
    Add a 'Why choose FaceAPI?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why choose FaceAPI?

- Actively maintained and updated for modern web standards.
- Modernized codebase with significant performance enhancements.
- Supports newer browser APIs like WebGPU for optimal performance.
- Comprehensive features for face detection, recognition, age/gender/emotion prediction.
- Works seamlessly in both Browser and NodeJS environments.
  • lowtopics#3
    Expand topics to include more specific keywords

    Why:

    CURRENT
    age-gender, emotion-detection, face-api, face-detection, face-recognition, tensorflow, tfjs
    COPY-PASTE FIX
    age-gender, emotion-detection, face-api, face-detection, face-recognition, tensorflow, tfjs, javascript, browser-ml, nodejs-ml, real-time, computer-vision, machine-learning, web-development

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 vladmandic/face-api
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Face-api.js
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Face-api.js · recommended 2×
  2. MediaPipe Face Detection · recommended 1×
  3. OpenCV.js · recommended 1×
  4. Jeeliz FaceFilter · recommended 1×
  5. Tracking.js · recommended 1×
  • CATEGORY QUERY
    How to implement real-time face detection, emotion, and age prediction in a web browser?
    you: not recommended
    AI recommended (in order):
    1. Face-api.js
    2. MediaPipe Face Detection
    3. OpenCV.js
    4. Jeeliz FaceFilter
    5. Tracking.js

    AI recommended 5 alternatives but never named vladmandic/face-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good options for performing face recognition and gender prediction in NodeJS applications?
    you: not recommended
    AI recommended (in order):
    1. Face-api.js
    2. AWS Rekognition
    3. Azure Cognitive Services (Face API)
    4. Google Cloud Vision AI
    5. OpenCV
    6. Clarifai
    7. Kairos

    AI recommended 7 alternatives but never named vladmandic/face-api. 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 vladmandic/face-api?
    pass
    AI named vladmandic/face-api explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of vladmandic/face-api. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/vladmandic/face-api"><img src="https://repogeo.com/badge/vladmandic/face-api.svg" alt="RepoGEO" /></a>
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vladmandic/face-api — RepoGEO report