RRepoGEO

REPOGEO REPORT · LITE

CASIA-LMC-Lab/AnomalyGPT

Default branch main · commit f21c51b9 · scanned 6/29/2026, 5:17:53 PM

GitHub: 1,120 stars · 145 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)

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

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 CASIA-LMC-Lab/AnomalyGPT, 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
  • highreadme#1
    Add a concise introductory paragraph to the README

    Why:

    CURRENT
    <p align="left">
   🌐 <a href="https://anomalygpt.github.io" target="_blank">Project Page</a> • 🤗 <a href="https://huggingface.co/spaces/FantasticGNU/AnomalyGPT" target="_blank">Online Demo</a> • 📃 <a href="https://arxiv.org/abs/2308.15366" target="_blank">Paper</a> • 🤖 <a href="https://huggingface.co/FantasticGNU/AnomalyGPT" target="_blank">Model</a> • 📹 <a href="https://www.youtube.com/watch?v=lcxBfy0YnNA" target="_blank">Video</a>
</p>
    COPY-PASTE FIX
    <p align="left">
   🌐 <a href="https://anomalygpt.github.io" target="_blank">Project Page</a> • 🤗 <a href="https://huggingface.co/spaces/FantasticGNU/AnomalyGPT" target="_blank">Online Demo</a> • 📃 <a href="https://arxiv.org/abs/2308.15366" target="_blank">Paper</a> • 🤖 <a href="https://huggingface.co/FantasticGNU/AnomalyGPT" target="_blank">Model</a> • 📹 <a href="https://www.youtube.com/watch?v=lcxBfy0YnNA" target="_blank">Video</a>
</p>

AnomalyGPT is a cutting-edge solution for detecting industrial anomalies and defects using advanced multimodal AI. It leverages large vision-language models (LVLMs) to identify subtle imperfections in industrial images, offering a powerful approach for quality control and predictive maintenance in manufacturing.
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, e.g., "## License\nThis project is released under the specific terms outlined in the [LICENSE](LICENSE) file. Please review the file for full details on usage and distribution."

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 CASIA-LMC-Lab/AnomalyGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openvinotoolkit/openvino
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openvinotoolkit/openvino · recommended 1×
  2. MVTec HALCON · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. TensorFlow Lite · recommended 1×
  5. tensorflow/serving · recommended 1×
  • CATEGORY QUERY
    How can I detect anomalies in industrial images using advanced vision models?
    you: not recommended
    AI recommended (in order):
    1. OpenVINO (openvinotoolkit/openvino)
    2. MVTec HALCON
    3. TensorFlow (tensorflow/tensorflow)
    4. TensorFlow Lite
    5. TensorFlow Serving (tensorflow/serving)
    6. PyTorch (pytorch/pytorch)
    7. ONNX Runtime (microsoft/onnxruntime)
    8. NVIDIA DeepStream SDK (NVIDIA-AI-IOT/deepstream_sdk)
    9. LandingLens
    10. Amazon Rekognition Custom Labels

    AI recommended 10 alternatives but never named CASIA-LMC-Lab/AnomalyGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective methods for identifying defects in manufacturing using multimodal AI?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. OpenCV
    5. Scikit-learn
    6. Grafana
    7. Prometheus
    8. Detectron2 (facebookresearch/detectron2)
    9. MMDetection (open-mmlab/mmdetection)
    10. MMSegmentation (open-mmlab/mmsegmentation)
    11. Blender
    12. Open CASCADE Technology (OCCT)
    13. Prophet (facebook/prophet)
    14. Apache Kafka
    15. RabbitMQ
    16. InfluxDB
    17. TimescaleDB
    18. Hugging Face Transformers (huggingface/transformers)
    19. SpaCy (explosion/spaCy)
    20. Gensim (RaRe-Technologies/gensim)
    21. Elasticsearch
    22. Apache Solr
    23. Ray RLlib (ray-project/ray)
    24. OpenAI Gym (openai/gym)
    25. Unity ML-Agents (Unity-Technologies/ml-agents)

    AI recommended 25 alternatives but never named CASIA-LMC-Lab/AnomalyGPT. 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 CASIA-LMC-Lab/AnomalyGPT?
    pass
    AI named CASIA-LMC-Lab/AnomalyGPT explicitly

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

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

    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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CASIA-LMC-Lab/AnomalyGPT — 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