RRepoGEO

REPOGEO REPORT · LITE

mymagicpower/AIAS

Default branch main · commit 99e850a5 · scanned 6/10/2026, 2:57:12 PM

GitHub: 981 stars · 293 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
40 /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
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 mymagicpower/AIAS, 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
    Add a clear project statement to the README's opening

    Why:

    COPY-PASTE FIX
    AIAS (AI All-in-one Solution) is a free, commercial-ready Java AI platform providing product-level IOCR custom template recognition, image-to-image search, and portrait search. It includes a Java PyTorch training engine, a comprehensive AI SDK, and ready-to-deploy web applications to accelerate your AI development.
  • mediumtopics#2
    Update repository topics for better categorization

    Why:

    CURRENT
    ai, aigc, llm, webapp
    COPY-PASTE FIX
    java, ai-sdk, image-recognition, ocr, pytorch, machine-learning, computer-vision, image-search, training-platform, webapp
  • lowabout#3
    Add an English translation to the repository description

    Why:

    CURRENT
    提供产品级IOCR自定义模板识别，以图搜图，人像搜索等，免费，可商用，Java AI 人工智能一站式解决方案，为工作减负，为产品研发加速。项目类别包括：以及Java版 Pytorch 训练引擎，AI SDK，web应用等。
    COPY-PASTE FIX
    AIAS: A free, commercial-ready Java AI all-in-one solution for product-level IOCR custom template recognition, image search, and portrait search. Includes a Java PyTorch training engine, AI SDK, and web applications. (提供产品级IOCR自定义模板识别，以图搜图，人像搜索等，免费，可商用，Java AI 人工智能一站式解决方案，为工作减负，为产品研发加速。项目类别包括：以及Java版 Pytorch 训练引擎，AI SDK，web应用等。)

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 mymagicpower/AIAS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Deeplearning4j (DL4J)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Deeplearning4j (DL4J) · recommended 1×
  2. Apache Lucene · recommended 1×
  3. deeplearning4j/deeplearning4j · recommended 1×
  4. tensorflow/tensorflow · recommended 1×
  5. pytorch/pytorch · recommended 1×
  • CATEGORY QUERY
    Looking for a free Java AI SDK for image recognition and search capabilities.
    you: not recommended
    AI recommended (in order):
    1. Deeplearning4j (DL4J)
    2. Apache Lucene

    AI recommended 2 alternatives but never named mymagicpower/AIAS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to train custom image classification models using Java for production applications?
    you: not recommended
    AI recommended (in order):
    1. Deeplearning4j (deeplearning4j/deeplearning4j)
    2. TensorFlow (tensorflow/tensorflow)
    3. PyTorch (pytorch/pytorch)
    4. Keras (keras-team/keras)
    5. ONNX Runtime (microsoft/onnxruntime)
    6. Apache MXNet (apache/mxnet)
    7. H2O-3 (h2oai/h2o-3)
    8. H2O Driverless AI

    AI recommended 8 alternatives but never named mymagicpower/AIAS. 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 mymagicpower/AIAS?
    pass
    AI named mymagicpower/AIAS explicitly

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

  • If a team adopts mymagicpower/AIAS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mymagicpower/AIAS 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 mymagicpower/AIAS solve, and who is the primary audience?
    pass
    AI named mymagicpower/AIAS 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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MARKDOWN (README)
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mymagicpower/AIAS — 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