RRepoGEO

REPOGEO REPORT · LITE

noahlevenson/stealing-ur-feelings

Default branch master · commit 75fd9687 · scanned 6/3/2026, 1:28:09 AM

GitHub: 922 stars · 33 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 noahlevenson/stealing-ur-feelings, 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 to clarify project type

    Why:

    CURRENT
    Meet the new AI that knows you better than you know yourself. *Stealing Ur Feelings* is a deep learning-powered AR experience which analyzes your facial reactions to reveal the dangers of Big Tech's emotional surveillance programs.
    COPY-PASTE FIX
    This repository hosts *Stealing Ur Feelings*, an award-winning interactive art project and deep learning-powered AR experience that demonstrates the privacy risks of emotional surveillance.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, for example, using the MIT License template.
  • mediumhomepage#3
    Add the project homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://stealingurfeelin.gs

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 noahlevenson/stealing-ur-feelings
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apple ARKit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Apple ARKit · recommended 1×
  2. Google ARCore · recommended 1×
  3. Apple Vision · recommended 1×
  4. Google ML Kit · recommended 1×
  5. Unity · recommended 1×
  • CATEGORY QUERY
    How to build an augmented reality experience that analyzes user facial expressions?
    you: not recommended
    AI recommended (in order):
    1. Apple ARKit
    2. Google ARCore
    3. Apple Vision
    4. Google ML Kit
    5. Unity
    6. AR Foundation
    7. OpenCV for Unity
    8. Barracuda
    9. Snapchat Lens Studio
    10. Spark AR Studio
    11. 8th Wall
    12. Zappar
    13. MediaPipe (google/mediapipe)

    AI recommended 13 alternatives but never named noahlevenson/stealing-ur-feelings. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for demonstrating privacy risks of AI-powered facial emotion detection in interactive media?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. dlib
    3. MediaPipe
    4. Face++
    5. Microsoft Azure Face API
    6. Amazon Rekognition
    7. Affectiva Affdex SDK
    8. TensorFlow.js
    9. PyTorch
    10. OpenFace

    AI recommended 10 alternatives but never named noahlevenson/stealing-ur-feelings. 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 noahlevenson/stealing-ur-feelings?
    pass
    AI named noahlevenson/stealing-ur-feelings explicitly

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

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

Embed your GEO score

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MARKDOWN (README)
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noahlevenson/stealing-ur-feelings — 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