RRepoGEO

REPOGEO REPORT · LITE

OpenSQZ/MiniCPM-V-CookBook

Default branch main · commit df047591 · scanned 6/2/2026, 6:07:37 PM

GitHub: 565 stars · 73 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 OpenSQZ/MiniCPM-V-CookBook, 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 clarify it's a *guide* for MiniCPM models and explicitly name the repo.

    Why:

    CURRENT
    # 🍳 MiniCPM-V & o Cookbook

🏠 Main Repository | 📚 Full Documentation

Cook up amazing AI applications effortlessly with MiniCPM-V, MiniCPM-o, and the MiniCPM LLM series — bringing text, vision, speech, and live-streaming capabilities right to your fingertips! For version-specific deployment instructions, see the files in the [deployment](./deployment/) directory.
    COPY-PASTE FIX
    # 🍳 MiniCPM-V & o Cookbook: Practical Guides for Deployment and Finetuning

🏠 Main Repository | 📚 Full Documentation

The OpenSQZ/MiniCPM-V-CookBook provides practical, ready-to-use guides and examples for deploying and finetuning MiniCPM-V, MiniCPM-o, and the MiniCPM LLM series. This cookbook helps you effortlessly develop multimodal AI applications by bringing text, vision, speech, and live-streaming capabilities right to your fingertips! For version-specific deployment instructions, see the files in the [deployment](./deployment/) directory.
  • mediumtopics#2
    Add broader category topics for better discoverability.

    Why:

    CURRENT
    minicpm, minicpm-o, minicpm-v
    COPY-PASTE FIX
    minicpm, minicpm-o, minicpm-v, multimodal-ai, llm-deployment, finetuning, ai-recipes, ai-examples, how-to-guide
  • lowabout#3
    Clarify repository description to emphasize its "cookbook" nature.

    Why:

    CURRENT
    Cook up amazing AI applications effortlessly with MiniCPM / MiniCPM-V / MiniCPM-o
    COPY-PASTE FIX
    A practical cookbook with guides and examples for deploying and finetuning MiniCPM, MiniCPM-V, and MiniCPM-o to build amazing AI applications.

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 OpenSQZ/MiniCPM-V-CookBook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Vertex AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Vertex AI · recommended 2×
  2. OpenAI API · recommended 1×
  3. GPT-4o · recommended 1×
  4. GPT-4 with Vision · recommended 1×
  5. Whisper · recommended 1×
  • CATEGORY QUERY
    How can I easily develop multimodal AI applications integrating text, vision, and speech?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GPT-4o
    3. GPT-4 with Vision
    4. Whisper
    5. DALL-E 3
    6. Google Cloud Vertex AI
    7. Gemini
    8. Vision AI
    9. Speech-to-Text
    10. Text-to-Speech
    11. Hugging Face Transformers (huggingface/transformers)
    12. Diffusers Libraries (huggingface/diffusers)
    13. LangChain (langchain-ai/langchain)
    14. Microsoft Azure AI Services
    15. Azure OpenAI Service
    16. Azure AI Vision
    17. Azure AI Speech

    AI recommended 17 alternatives but never named OpenSQZ/MiniCPM-V-CookBook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient deployment options for small language models across different user needs?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Inference Endpoints
    2. AWS SageMaker
    3. Google Cloud Vertex AI
    4. Azure Machine Learning
    5. OpenVINO (openvinotoolkit/openvino)
    6. ONNX Runtime (microsoft/onnxruntime)
    7. FastAPI (tiangolo/fastapi)
    8. Uvicorn (encode/uvicorn)
    9. Gunicorn (benoitc/gunicorn)
    10. AWS EC2
    11. Google Compute Engine
    12. Azure Virtual Machines
    13. Docker (moby/moby)
    14. AWS ECS
    15. AWS EKS
    16. Google Cloud Run
    17. Google Kubernetes Engine (GKE)
    18. Azure Container Instances
    19. Azure Kubernetes Service (AKS)
    20. VLLM (vllm-project/vllm)

    AI recommended 20 alternatives but never named OpenSQZ/MiniCPM-V-CookBook. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 OpenSQZ/MiniCPM-V-CookBook?
    pass
    AI did not name OpenSQZ/MiniCPM-V-CookBook — 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 OpenSQZ/MiniCPM-V-CookBook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OpenSQZ/MiniCPM-V-CookBook 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 OpenSQZ/MiniCPM-V-CookBook solve, and who is the primary audience?
    pass
    AI did not name OpenSQZ/MiniCPM-V-CookBook — 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?

Embed your GEO score

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OpenSQZ/MiniCPM-V-CookBook — 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