RRepoGEO

REPOGEO REPORT · LITE

liucongg/GPT2-NewsTitle

Default branch main · commit 1e04fc50 · scanned 6/28/2026, 9:58:18 PM

GitHub: 1,110 stars · 181 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
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 liucongg/GPT2-NewsTitle, 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
    Clarify the project's learning/tutorial focus in the README's opening

    Why:

    COPY-PASTE FIX
    本项目是一个带有超级详细中文注释的基于GPT2模型的新闻标题生成项目，旨在带领大家走一遍GPT2生成模型的训练、测试及部署全部流程。
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://[your-live-demo-url-here]
  • lowtopics#3
    Refine repository topics for more precise categorization

    Why:

    CURRENT
    chinese, gpt2, news-summarization, nlp, text-generation, torch, transformer
    COPY-PASTE FIX
    chinese, gpt2, nlp, text-generation, title-generation, torch, transformer, streamlit, flask

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 liucongg/GPT2-NewsTitle
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. PaddlePaddle/Paddle · recommended 1×
  3. OpenNMT/OpenNMT-py · recommended 1×
  4. Google Cloud AI Platform · recommended 1×
  5. Microsoft Azure AI · recommended 1×
  • CATEGORY QUERY
    Need a solution for generating short, relevant Chinese news titles from articles.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PaddlePaddle (PaddlePaddle/Paddle)
    3. OpenNMT-py (OpenNMT/OpenNMT-py)
    4. Google Cloud AI Platform
    5. Microsoft Azure AI
    6. Jieba (fxsjy/jieba)
    7. TextRank

    AI recommended 7 alternatives but never named liucongg/GPT2-NewsTitle. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an annotated deep learning project for Chinese text summarization or title generation.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch
    3. PyTorch-Lightning
    4. TensorFlow
    5. Keras
    6. PaddlePaddle
    7. ERNIE
    8. OpenNMT-py
    9. fairseq

    AI recommended 9 alternatives but never named liucongg/GPT2-NewsTitle. 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 liucongg/GPT2-NewsTitle?
    pass
    AI named liucongg/GPT2-NewsTitle explicitly

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

  • If a team adopts liucongg/GPT2-NewsTitle in production, what risks or prerequisites should they evaluate first?
    pass
    AI named liucongg/GPT2-NewsTitle 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 liucongg/GPT2-NewsTitle solve, and who is the primary audience?
    pass
    AI did not name liucongg/GPT2-NewsTitle — 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

Drop this badge into the README of liucongg/GPT2-NewsTitle. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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liucongg/GPT2-NewsTitle — 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