RRepoGEO

REPOGEO REPORT · LITE

jshilong/GPT4RoI

Default branch main · commit d9bf2ead · scanned 5/29/2026, 10:43:16 PM

GitHub: 555 stars · 28 forks

AI VISIBILITY SCORE
35 /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
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 jshilong/GPT4RoI, 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 highlight core value

    Why:

    CURRENT
    The README starts with the title, then image placeholders, then 'Introduction' and the paper title.
    COPY-PASTE FIX
    Add the following sentence immediately after the main title `# GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest :fire: Demo :fire:`:
`GPT4RoI is an instruction-tuned large language model specifically designed for detailed understanding and analysis of user-specified regions-of-interest within images, as presented at ECCVW 2025.`
  • highhomepage#2
    Add the project's paper URL as the homepage

    Why:

    COPY-PASTE FIX
    https://[insert-actual-paper-url-here]
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, for example, under 'Acknowledge' or a new 'License' section: `This project is released under the terms specified in the LICENSE file. Please refer to the LICENSE file for full details.`

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 jshilong/GPT4RoI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LLaVA
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LLaVA · recommended 2×
  2. Detectron2 · recommended 2×
  3. MMDetection · recommended 2×
  4. Hugging Face Transformers Library · recommended 1×
  5. BLIP-2 · recommended 1×
  • CATEGORY QUERY
    How can I fine-tune large language models to interpret specific regions within images?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library
    2. BLIP-2
    3. LLaVA
    4. InstructBLIP
    5. Flamingo
    6. PEFT
    7. Accelerate
    8. OpenAI CLIP
    9. DALL-E 2
    10. Stable Diffusion
    11. Detectron2
    12. MMDetection
    13. ResNet
    14. ViT
    15. Vision Transformer (ViT)
    16. Kosmos-1
    17. Florence
    18. PyTorch Image Models (timm)
    19. EfficientNet
    20. ConvNeXt
    21. Swin Transformer

    AI recommended 21 alternatives but never named jshilong/GPT4RoI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable language models to perform detailed analysis on specific image regions?
    you: not recommended
    AI recommended (in order):
    1. Grounding DINO
    2. CLIP
    3. BLIP
    4. LLaVA
    5. OWL-ViT
    6. SAM
    7. GPT-4V
    8. MMDetection
    9. Detectron2
    10. Hugging Face Transformers
    11. Google Cloud Vision AI
    12. Azure AI Vision
    13. Amazon Rekognition
    14. Google Cloud Natural Language API

    AI recommended 14 alternatives but never named jshilong/GPT4RoI. 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 jshilong/GPT4RoI?
    pass
    AI named jshilong/GPT4RoI explicitly

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

  • If a team adopts jshilong/GPT4RoI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jshilong/GPT4RoI 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 jshilong/GPT4RoI solve, and who is the primary audience?
    pass
    AI named jshilong/GPT4RoI explicitly

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

Embed your GEO score

Drop this badge into the README of jshilong/GPT4RoI. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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jshilong/GPT4RoI — 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