RRepoGEO

REPOGEO REPORT · LITE

Phhofm/models

Default branch main · commit 43a9792f · scanned 6/3/2026, 3:36:59 PM

GitHub: 603 stars · 40 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Phhofm/models, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumreadme#2
    Strengthen the README's opening to clarify model type

    Why:

    CURRENT
    # Models
    COPY-PASTE FIX
    # Phhofm's AI Upscaling Models (Single Image Super Resolution)

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 Phhofm/models
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ESRGAN
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ESRGAN · recommended 2×
  2. Real-ESRGAN · recommended 2×
  3. SwinIR · recommended 2×
  4. Waifu2x · recommended 1×
  5. Upscale Diffusion · recommended 1×
  • CATEGORY QUERY
    Where can I find open source AI models for high-quality image upscaling?
    you: not recommended
    AI recommended (in order):
    1. ESRGAN
    2. Real-ESRGAN
    3. SwinIR
    4. Waifu2x
    5. Upscale Diffusion
    6. BasicSR

    AI recommended 6 alternatives but never named Phhofm/models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need pre-trained deep learning models for single image super-resolution tasks.
    you: not recommended
    AI recommended (in order):
    1. ESRGAN
    2. Real-ESRGAN
    3. SwinIR
    4. EDSR
    5. SRGAN
    6. LapSRN

    AI recommended 6 alternatives but never named Phhofm/models. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 Phhofm/models?
    pass
    AI named Phhofm/models explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite