RRepoGEO

REPOGEO REPORT · LITE

OptimalScale/DetGPT

Default branch main · commit 633b1fc5 · scanned 6/2/2026, 11:32:50 AM

GitHub: 788 stars · 75 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 OptimalScale/DetGPT, 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
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    DetGPT: An open-world object detector that uses Large Language Models (LLMs) for complex reasoning and natural language instructions to precisely locate objects in images.
  • mediumreadme#2
    Add a clear, concise positioning statement to the README's opening

    Why:

    CURRENT
    # DetGPT: Detect What You Need via Reasoning

[](https://a03e18d54fcb7ceb54.gradio.live)
[](https://detgpt.github.io/)
    COPY-PASTE FIX
    # DetGPT: Detect What You Need via Reasoning

DetGPT is an innovative open-world object detector that leverages Large Language Models (LLMs) for advanced reasoning, enabling precise object localization from complex natural language instructions.

[](https://a03e18d54fcb7ceb54.gradio.live)
[](https://detgpt.github.io/)

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 OptimalScale/DetGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Grounding DINO
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Grounding DINO · recommended 2×
  2. OWL-ViT · recommended 1×
  3. GLIP · recommended 1×
  4. MDETR · recommended 1×
  5. VL-T5 · recommended 1×
  • CATEGORY QUERY
    How to locate specific objects in images using natural language reasoning?
    you: not recommended
    AI recommended (in order):
    1. OWL-ViT
    2. Grounding DINO
    3. GLIP
    4. MDETR
    5. VL-T5
    6. CLIP

    AI recommended 6 alternatives but never named OptimalScale/DetGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI can identify objects in images from complex, detailed text commands?
    you: not recommended
    AI recommended (in order):
    1. GPT-4o (or GPT-4 with Vision)
    2. Google Gemini (Advanced/Ultra)
    3. Meta Llama 3 (with Vision capabilities, once released/integrated)
    4. CLIP (Contrastive Language-Image Pre-training) by OpenAI (or derivatives like OpenCLIP)
    5. OWL-ViT (Open-World Vision Transformer) by Google Research
    6. Grounding DINO

    AI recommended 6 alternatives but never named OptimalScale/DetGPT. 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 OptimalScale/DetGPT?
    pass
    AI named OptimalScale/DetGPT explicitly

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

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

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

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OptimalScale/DetGPT — 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