RRepoGEO

REPOGEO REPORT · LITE

Turing-Project/WriteGPT

Default branch master · commit 98f9dad5 · scanned 5/18/2026, 10:23:05 AM

GitHub: 5,306 stars · 890 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 Turing-Project/WriteGPT, 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 README's introductory sentence to highlight its specific niche

    Why:

    CURRENT
    通用型议论文创作人工智能框架,仅限交流与科普。
    COPY-PASTE FIX
    WriteGPT是一个专为高考议论文设计的生成式AI框架,结合OCR与NLP技术,旨在辅助中文教育场景下的文本创作与研究。
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai, nlp, gpt2, chinese-nlp, text-generation, essay-generation, gaokao, ocr, deep-learning, bert
  • mediumreadme#3
    Clarify the AI model source and deployment in the README

    Why:

    COPY-PASTE FIX
    Add a sentence under '项目简介' or '框架说明': 'WriteGPT is built entirely on open-source models like GPT-2 and Bert, and does not rely on external APIs such as OpenAI. It supports both local deployment and an online demo via Colab.'

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/WriteGPT
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Baichuan 2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Baichuan 2 · recommended 1×
  2. Qwen · recommended 1×
  3. ChatGLM3 · recommended 1×
  4. InternLM · recommended 1×
  5. Llama 2 · recommended 1×
  • CATEGORY QUERY
    What open-source AI models can generate high-quality argumentative essays in Chinese?
    you: not recommended
    AI recommended (in order):
    1. Baichuan 2
    2. Qwen
    3. ChatGLM3
    4. InternLM
    5. Llama 2

    AI recommended 5 alternatives but never named Turing-Project/WriteGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement an AI system to generate structured text from scanned educational documents?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI
    2. Amazon Textract
    3. Azure AI Document Intelligence
    4. Tesseract OCR
    5. spaCy
    6. NLTK
    7. Hugging Face Transformers
    8. OpenCV

    AI recommended 8 alternatives but never named Turing-Project/WriteGPT. 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/WriteGPT?
    pass
    AI named Turing-Project/WriteGPT explicitly

    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/WriteGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Turing-Project/WriteGPT 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/WriteGPT solve, and who is the primary audience?
    pass
    AI named Turing-Project/WriteGPT explicitly

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

Embed your GEO score

Drop this badge into the README of Turing-Project/WriteGPT. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Turing-Project/WriteGPT.svg)](https://repogeo.com/en/r/Turing-Project/WriteGPT)
HTML
<a href="https://repogeo.com/en/r/Turing-Project/WriteGPT"><img src="https://repogeo.com/badge/Turing-Project/WriteGPT.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Turing-Project/WriteGPT — 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