RRepoGEO

REPOGEO REPORT · LITE

SthPhoenix/InsightFace-REST

Default branch master · commit fb854d80 · scanned 6/2/2026, 11:47:05 AM

GitHub: 617 stars · 146 forks

AI VISIBILITY SCORE
28 /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
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 SthPhoenix/InsightFace-REST, 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 opening to emphasize 'face recognition service'

    Why:

    CURRENT
    A production-ready REST API for face detection and recognition pipelines. Built with FastAPI for serving and optimized with NVIDIA TensorRT for high-performance inference. Supports both GPU-accelerated and CPU-based deployments.
    COPY-PASTE FIX
    A production-ready, self-hostable REST API service for high-performance face detection and recognition pipelines. Built with FastAPI for serving and optimized with NVIDIA TensorRT for GPU-accelerated inference, it provides a complete solution for deploying face analysis capabilities.
  • mediumhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://github.com/SthPhoenix/InsightFace-REST
  • lowtopics#3
    Expand topics to include broader solution categories

    Why:

    CURRENT
    adaface, arcface, centerface, docker, face-detection, face-recognition, fastapi, fp16, gpu, insightface, mask-detection, onnx, retinaface, scrfd, tensorrt, tensorrt-conversion, yolov5-face
    COPY-PASTE FIX
    adaface, arcface, centerface, docker, face-detection, face-recognition, fastapi, fp16, gpu, insightface, mask-detection, onnx, retinaface, scrfd, tensorrt, tensorrt-conversion, yolov5-face, face-analysis, computer-vision-api

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 SthPhoenix/InsightFace-REST
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FastAPI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. FastAPI · recommended 2×
  2. Flask · recommended 2×
  3. NVIDIA Triton Inference Server · recommended 1×
  4. TensorFlow Serving · recommended 1×
  5. TorchServe · recommended 1×
  • CATEGORY QUERY
    How to deploy a high-performance face recognition API with GPU acceleration?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Triton Inference Server
    2. TensorFlow Serving
    3. TorchServe
    4. ONNX Runtime
    5. FastAPI
    6. Flask
    7. KServe
    8. DeepFace

    AI recommended 8 alternatives but never named SthPhoenix/InsightFace-REST. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Dockerized REST API for real-time face detection using TensorRT optimization.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA DeepStream SDK
    2. TRITON Inference Server
    3. OpenVINO Toolkit
    4. FastAPI
    5. Flask
    6. torch_tensorrt
    7. tf_trt_converter
    8. Jetson Inference

    AI recommended 8 alternatives but never named SthPhoenix/InsightFace-REST. 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 SthPhoenix/InsightFace-REST?
    pass
    AI named SthPhoenix/InsightFace-REST explicitly

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

  • If a team adopts SthPhoenix/InsightFace-REST in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SthPhoenix/InsightFace-REST 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 SthPhoenix/InsightFace-REST solve, and who is the primary audience?
    pass
    AI did not name SthPhoenix/InsightFace-REST — 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?

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite