RRepoGEO

REPOGEO REPORT · LITE

Turing-Project/EssayTopicPredictV2

Default branch main · commit 030e852d · scanned 6/4/2026, 1:38:10 PM

GitHub: 561 stars · 93 forks

AI VISIBILITY SCORE
28 /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
2 / 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 Turing-Project/EssayTopicPredictV2, 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 specific topics to the repository

    Why:

    COPY-PASTE FIX
    gaokao, essay-prediction, nlp, aigc, education-ai, chinese-education, bert, roberta, topic-modeling
  • highreadme#2
    Reposition the README H1 and opening paragraph to clearly state its specific purpose

    Why:

    CURRENT
    # EssayTopicPredict

         

通用型高考作文题目预测模型 v2.0 -人工智能框架，仅限交流与科普。

## 项目简介
EssayTopicPredict是基于无监督学习、模式识别与NLP领域的最新模型所构建的生成式AIGC考试题预测框架，目前第一版finetune模型针对高考作文，可以有效生成符合人类认知的文章题目。
    COPY-PASTE FIX
    # EssayTopicPredictV2: 高考作文题目预测模型 (Gaokao Essay Topic Prediction Model)

EssayTopicPredictV2是一个专为中国高考作文设计的生成式AI框架，利用无监督学习、模式识别与NLP技术，有效预测并生成符合人类认知的作文题目。本模型为v2.0版本，仅限交流与科普。
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Turing-Project/EssayTopicPredictV2

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 Turing-Project/EssayTopicPredictV2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 1×
  2. Claude 3 Opus · recommended 1×
  3. Gemini 1.5 Pro · recommended 1×
  4. BERT · recommended 1×
  5. RoBERTa · recommended 1×
  • CATEGORY QUERY
    What AI models can predict essay topics for standardized national exams?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. BERT
    5. RoBERTa
    6. Latent Dirichlet Allocation (LDA)
    7. Non-negative Matrix Factorization (NMF)
    8. Recurrent Neural Networks (RNNs)
    9. LSTMs
    10. GRUs
    11. Support Vector Machines (SVMs)
    12. Random Forests

    AI recommended 12 alternatives but never named Turing-Project/EssayTopicPredictV2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI framework for generating and predicting essay questions in competitive exams.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. OpenAI API
    3. spaCy
    4. Keras/TensorFlow
    5. PyTorch
    6. Gensim

    AI recommended 6 alternatives but never named Turing-Project/EssayTopicPredictV2. 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 Turing-Project/EssayTopicPredictV2?
    pass
    AI did not name Turing-Project/EssayTopicPredictV2 — 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 Turing-Project/EssayTopicPredictV2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Turing-Project/EssayTopicPredictV2 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 Turing-Project/EssayTopicPredictV2 solve, and who is the primary audience?
    pass
    AI named Turing-Project/EssayTopicPredictV2 explicitly

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

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Turing-Project/EssayTopicPredictV2 — 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