RRepoGEO

REPOGEO REPORT · LITE

apple/ml-mgie

Default branch main · commit 835af371 · scanned 5/12/2026, 2:54:18 PM

GitHub: 3,881 stars · 256 forks

AI VISIBILITY SCORE
23 /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
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 apple/ml-mgie, 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
  • highreadme#1
    Reposition the README's opening to clarify its nature as a research project

    Why:

    CURRENT
    # Guiding Instruction-based Image Editing via Multimodal Large Language Models
This repo contains the code for Guiding Instruction-based Image Editing via Multimodal Large Language Models (ICLR'24 Spotlight)
    COPY-PASTE FIX
    # Guiding Instruction-based Image Editing via Multimodal Large Language Models
This repository presents MGIE, a research framework for instruction-based image editing leveraging Multimodal Large Language Models (MLLMs) to derive expressive instructions and guide image manipulation. It is designed for AI/ML researchers and developers exploring advanced generative image editing techniques.
  • highabout#2
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    Research framework for instruction-based image editing using Multimodal Large Language Models (MLLMs) to guide image manipulation. Explores how MLLMs derive expressive instructions for generative image editing.

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 apple/ml-mgie
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Midjourney
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Midjourney · recommended 2×
  2. DALL-E 3 · recommended 2×
  3. Stable Diffusion · recommended 2×
  4. RunwayML · recommended 2×
  5. Adobe Photoshop · recommended 1×
  • CATEGORY QUERY
    How can I improve image editing control using natural language instructions with AI?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Midjourney
    3. DALL-E 3
    4. Stable Diffusion
    5. RunwayML

    AI recommended 5 alternatives but never named apple/ml-mgie. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools can enhance image manipulation from vague text prompts by generating detailed guidance?
    you: not recommended
    AI recommended (in order):
    1. Midjourney
    2. DALL-E 3
    3. Adobe Firefly
    4. Stable Diffusion
    5. RunwayML
    6. Fooocus

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

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

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MARKDOWN (README)
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HTML
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apple/ml-mgie — 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