REPOGEO REPORT · LITE

AILab-CVC/GPT4Tools

Default branch master · commit 643faa8e · scanned 6/9/2026, 6:07:51 AM

GitHub: 770 stars · 56 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 AILab-CVC/GPT4Tools, 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

hightopics#1

Add relevant topics to improve categorization

Why:

COPY-PASTE FIX

llm, large-language-models, tool-use, visual-ai, computer-vision, multimodal, self-instruction, foundation-models, agent

highreadme#2

Strengthen README's opening to emphasize LLM control of visual tools

Why:

CURRENT

GPT4Tools is a centralized system that can control multiple visual foundation models. It is based on Vicuna (LLaMA), and 71K self-built instruction data. By analyzing the language content, GPT4Tools is capable of automatically deciding, controlling, and utilizing different visual foundation models, allowing the user to interact with images during a conversation.

COPY-PASTE FIX

GPT4Tools is an intelligent system that empowers Large Language Models (LLMs) to automatically decide, control, and utilize various visual foundation models. Built on Vicuna (LLaMA) with 71K self-built instruction data, it enables seamless user interaction with images during a conversation by allowing the LLM to orchestrate visual AI tools.

mediumlicense#3

Add a clear statement about the project's license in the README

Why:

COPY-PASTE FIX

## License

The code and models in this repository are released under [specify license(s) here, e.g., a custom license, or a combination of licenses like Apache 2.0 for code and CC BY-NC 4.0 for models]. 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 AILab-CVC/GPT4Tools

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

BLIP-2

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

BLIP-2 · recommended 1×
ViT-GPT2 · recommended 1×
CoCa · recommended 1×
YOLO (You Only Look Once) series · recommended 1×
DETR (DEtection TRansformer) · recommended 1×

CATEGORY QUERY
How can an LLM effectively interact with images using various visual AI models?
you: not recommended
AI recommended (in order):
1. BLIP-2
2. ViT-GPT2
3. CoCa
4. YOLO (You Only Look Once) series
5. DETR (DEtection TRansformer)
6. Mask R-CNN
7. InstructBLIP
8. VisualBERT
9. OFA (One-For-All)
10. Tesseract OCR
11. Google Cloud Vision AI (Text Detection)
12. PaddleOCR
13. CLIP (Contrastive Language-Image Pre-training)
14. OpenCLIP
15. DINOv2 (Self-supervised Vision Transformers)
AI recommended 15 alternatives but never named AILab-CVC/GPT4Tools. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good approaches for teaching LLMs to utilize external tools via self-instruction?
you: not recommended
AI recommended (in order):
1. Toolformer
2. Gorilla
3. AutoGPT (Significant-Gravitas/AutoGPT)
4. LangChain Agents (langchain-ai/langchain)
5. LlamaIndex Agents (run-llama/llama_index)
6. OpenAI Function Calling
7. Hugging Face Transformers Agents (huggingface/transformers)
AI recommended 7 alternatives but never named AILab-CVC/GPT4Tools. 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 AILab-CVC/GPT4Tools?
pass
AI named AILab-CVC/GPT4Tools explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts AILab-CVC/GPT4Tools in production, what risks or prerequisites should they evaluate first?
pass
AI named AILab-CVC/GPT4Tools 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 AILab-CVC/GPT4Tools solve, and who is the primary audience?
pass
AI named AILab-CVC/GPT4Tools 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 AILab-CVC/GPT4Tools. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

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HTML

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AILab-CVC/GPT4Tools — 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