RRepoGEO

REPOGEO REPORT · LITE

WeThinkIn/AIGC-Interview-Book

Default branch main · commit 0ff7c11a · scanned 6/24/2026, 11:43:39 PM

GitHub: 3,979 stars · 418 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 WeThinkIn/AIGC-Interview-Book, 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 the core purpose statement to immediately follow the README's main title

    Why:

    CURRENT
    The README's first content paragraphs immediately list 'AIGC算法岗方向' and 'AIGC开发岗方向' before the explicit statement of purpose.
    COPY-PASTE FIX
    Move the paragraph starting with '🚀**本项目凝聚了AIGC时代众多一线AIGC算法专家的行业经验与深度洞察**，涵盖AIGC完整知识架构、AIGC大厂内推、AIGC面试经验、AIGC公司指南/辛秘、AI校招时间表、AIGC面试准备、AIGC薪资爆料、AIGC刷题指南、AIGC求职答疑等干货资源。' to appear directly after the H1 and its English subtitle.
  • mediumreadme#2
    Add a 'Who is this for?' section to the README

    Why:

    CURRENT
    The README mentions target users within a longer paragraph ('尤其适合AIGC求职者和提供相关AIGC算法岗位的面试官阅读研究').
    COPY-PASTE FIX
    Create a dedicated section, e.g., '## 🎯 Who is this for? 
 This guide is primarily designed for AIGC, LLM, and AI Agent algorithm and development job seekers, students preparing for AI interviews, and even interviewers looking for comprehensive question sets.'
  • lowcomparison#3
    Add a 'Comparison to other resources' section to the README

    Why:

    COPY-PASTE FIX
    Create a section like '## 🆚 Comparison to other resources 
 Unlike general AI/ML libraries (e.g., TensorFlow, PyTorch) or academic textbooks, this project is a focused, practical interview preparation guide. It provides curated questions, solutions, and career advice specifically for AIGC, LLM, and AI Agent roles, drawing from real-world industry experience.'

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 WeThinkIn/AIGC-Interview-Book
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. PyTorch · recommended 2×
  3. NumPy · recommended 2×
  4. Pandas · recommended 2×
  5. Scikit-learn · recommended 1×
  • CATEGORY QUERY
    Need a comprehensive guide for AIGC, LLM, and AI Agent algorithm engineer interview preparation.
    you: not recommended
    AI recommended (in order):
    1. Scikit-learn
    2. TensorFlow
    3. PyTorch
    4. NumPy
    5. Pandas
    6. Hugging Face Transformers
    7. Stable Diffusion
    8. DALL-E 2
    9. Midjourney
    10. Hugging Face Diffusers
    11. LangChain
    12. LlamaIndex
    13. Pinecone
    14. Weaviate
    15. Chroma
    16. FAISS
    17. AWS
    18. SageMaker
    19. EC2
    20. S3
    21. Lambda
    22. Google Cloud Platform
    23. Vertex AI
    24. GKE
    25. Cloud Storage
    26. Azure Machine Learning
    27. Docker
    28. Kubernetes
    29. Triton Inference Server
    30. Ray Serve
    31. FastAPI
    32. Flask
    33. MLflow
    34. DVC
    35. Prometheus
    36. Grafana
    37. LangSmith
    38. LeetCode
    39. Python

    AI recommended 39 alternatives but never named WeThinkIn/AIGC-Interview-Book. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential topics and questions for deep learning and computer vision AI interviews?
    you: not recommended
    AI recommended (in order):
    1. LeNet-5
    2. AlexNet
    3. VGGNet
    4. ResNet
    5. InceptionNet (GoogLeNet)
    6. DenseNet
    7. EfficientNet
    8. Vision Transformers (ViT)
    9. CutMix
    10. Mixup
    11. R-CNN
    12. Fast R-CNN
    13. Faster R-CNN
    14. YOLO (You Only Look Once)
    15. SSD (Single Shot MultiBox Detector)
    16. U-Net
    17. FCN (Fully Convolutional Network)
    18. Mask R-CNN
    19. OpenPose
    20. StyleGAN
    21. DALL-E
    22. SRGAN
    23. ONNX
    24. TensorRT
    25. NumPy
    26. Pandas
    27. PyTorch
    28. TensorFlow
    29. Keras
    30. torchvision.models
    31. tf.keras.applications
    32. OpenCV
    33. Pillow (PIL)
    34. Albumentations

    AI recommended 34 alternatives but never named WeThinkIn/AIGC-Interview-Book. 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 WeThinkIn/AIGC-Interview-Book?
    pass
    AI did not name WeThinkIn/AIGC-Interview-Book — 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 WeThinkIn/AIGC-Interview-Book in production, what risks or prerequisites should they evaluate first?
    pass
    AI named WeThinkIn/AIGC-Interview-Book 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 WeThinkIn/AIGC-Interview-Book solve, and who is the primary audience?
    pass
    AI did not name WeThinkIn/AIGC-Interview-Book — 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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  • Brand-free category queries5 vs 2 in Lite
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