RRepoGEO

REPOGEO REPORT · LITE

aloshdenny/reverse-SynthID

Default branch main · commit 96076718 · scanned 5/27/2026, 9:33:00 AM

GitHub: 3,960 stars · 416 forks

AI VISIBILITY SCORE
22 /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
1 / 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 aloshdenny/reverse-SynthID, 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
  • highabout#1
    Reposition the 'About' description to clarify the project's purpose as a tool

    Why:

    CURRENT
    reverse engineering Gemini's SynthID detection
    COPY-PASTE FIX
    An open-source project for detecting, analyzing, and removing Google's SynthID AI watermarks using spectral analysis.
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under the terms specified in the included LICENSE file. Please consult the LICENSE file for full details on usage and distribution.

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 aloshdenny/reverse-SynthID
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ImageHash
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ImageHash · recommended 1×
  2. OpenCV · recommended 1×
  3. SciPy · recommended 1×
  4. MATLAB · recommended 1×
  5. Numpy · recommended 1×
  • CATEGORY QUERY
    How can I detect if an image contains an invisible watermark from an AI model?
    you: not recommended
    AI recommended (in order):
    1. ImageHash
    2. OpenCV
    3. SciPy
    4. MATLAB
    5. Numpy
    6. Scikit-learn
    7. StegaStamp Detector
    8. Awatermark Detector
    9. Invisible AI Watermark Detector
    10. TensorFlow / Keras
    11. PyTorch

    AI recommended 11 alternatives but never named aloshdenny/reverse-SynthID. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Are there open-source methods to remove or manipulate embedded watermarks in AI-generated pictures?
    you: not recommended
    AI recommended (in order):
    1. GIMP (GNU Image Manipulation Program)
    2. Krita
    3. ImageMagick (ImageMagick/ImageMagick)
    4. OpenCV (Open Source Computer Vision Library) (opencv/opencv)
    5. Stable Diffusion (Stability-AI/stablediffusion)
    6. lama-cleaner (Sanster/lama-cleaner)

    AI recommended 6 alternatives but never named aloshdenny/reverse-SynthID. 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 aloshdenny/reverse-SynthID?
    pass
    AI did not name aloshdenny/reverse-SynthID — 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 aloshdenny/reverse-SynthID in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aloshdenny/reverse-SynthID 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 aloshdenny/reverse-SynthID solve, and who is the primary audience?
    pass
    AI did not name aloshdenny/reverse-SynthID — 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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aloshdenny/reverse-SynthID — 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