RRepoGEO

REPOGEO REPORT · LITE

yangjianxin1/GPT2-chitchat

Default branch master · commit 9066954a · scanned 5/24/2026, 2:03:01 PM

GitHub: 3,004 stars · 669 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 yangjianxin1/GPT2-chitchat, 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
    Refocus README by removing unrelated 'News' section

    Why:

    CURRENT
    The current README contains a 'News' section detailing other projects.
    COPY-PASTE FIX
    Remove the entire 'News' section from `README.md`. Consider moving this content to a separate `AUTHOR_PROJECTS.md` file or the author's GitHub profile.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, or GPL-3.0).
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in GitHub settings to a relevant project page, demo, or the author's profile/blog (e.g., `https://github.com/yangjianxin1/GPT2-chitchat` or a specific project page if one exists).

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 yangjianxin1/GPT2-chitchat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGLM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGLM · recommended 2×
  2. Baichuan · recommended 1×
  3. Qwen · recommended 1×
  4. InternLM · recommended 1×
  5. PandaLM · recommended 1×
  • CATEGORY QUERY
    What are good open-source models for building a Chinese conversational AI chatbot?
    you: not recommended
    AI recommended (in order):
    1. ChatGLM
    2. Baichuan
    3. Qwen
    4. InternLM
    5. PandaLM
    6. Chinese-LLaMA-Alpaca

    AI recommended 6 alternatives but never named yangjianxin1/GPT2-chitchat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a pre-trained transformer model to generate engaging Chinese dialogue.
    you: not recommended
    AI recommended (in order):
    1. Baidu ERNIE
    2. ERNIE-Bot
    3. Tsinghua University GLM
    4. ChatGLM
    5. Meta LLaMA
    6. Llama 2
    7. OpenAI GPT-3.5
    8. GPT-4
    9. Google PaLM 2
    10. Gemini
    11. Hugging Face Transformers
    12. BERT
    13. RoBERTa
    14. GPT-2
    15. Pangu-α

    AI recommended 15 alternatives but never named yangjianxin1/GPT2-chitchat. 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 yangjianxin1/GPT2-chitchat?
    pass
    AI named yangjianxin1/GPT2-chitchat explicitly

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

  • If a team adopts yangjianxin1/GPT2-chitchat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yangjianxin1/GPT2-chitchat 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 yangjianxin1/GPT2-chitchat solve, and who is the primary audience?
    pass
    AI did not name yangjianxin1/GPT2-chitchat — 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 yangjianxin1/GPT2-chitchat. 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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yangjianxin1/GPT2-chitchat — 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