RRepoGEO

REPOGEO REPORT · LITE

dalinvip/Awesome-ChatGPT

Default branch main · commit d7e8ee1e · scanned 5/23/2026, 11:42:52 AM

GitHub: 4,189 stars · 387 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
22 /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
1 / 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 dalinvip/Awesome-ChatGPT, 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 opening to explicitly state its purpose as a curated resource list

    Why:

    CURRENT
    ChatGPT资料汇总学习，持续更新...... ChatGPT再一次掀起了AI的热潮，是否还会像BERT一样成为AI进程上的里程碑事件，还是噱头炒作，持续关注，让时间流淌~
    COPY-PASTE FIX
    这是一个持续更新的ChatGPT及AIGC相关资料精选汇总，旨在为开发者、研究者和爱好者提供全面、系统的学习与追踪资源。ChatGPT再一次掀起了AI的热潮，是否还会像BERT一样成为AI进程上的里程碑事件，还是噱头炒作，持续关注，让时间流淌~
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the content of a standard open-source license, such as the MIT License.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to `https://szqxz4m7fs.feishu.cn/wiki/wikcnMJ5qdVdOJ03XsBZFuXIRkf`

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 dalinvip/Awesome-ChatGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepLearning.AI's Large Language Models Specialization
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepLearning.AI's Large Language Models Specialization · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. OpenAI API · recommended 1×
  4. Stanford CS224N: Natural Language Processing with Deep Learning · recommended 1×
  5. Google AI Blog · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive learning materials for the latest large language model technologies?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's Large Language Models Specialization
    2. Hugging Face Transformers (huggingface/transformers)
    3. OpenAI API
    4. Stanford CS224N: Natural Language Processing with Deep Learning
    5. Google AI Blog
    6. Towards Data Science
    7. Analytics Vidhya

    AI recommended 7 alternatives but never named dalinvip/Awesome-ChatGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best resources to track advancements in generative AI and neural language processing?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Hugging Face Blog/Newsletter
    3. Papers With Code
    4. The Batch (DeepLearning.AI Newsletter)
    5. LessWrong / Alignment Forum
    6. Twitter
    7. AI Explained (YouTube Channel)

    AI recommended 7 alternatives but never named dalinvip/Awesome-ChatGPT. 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 dalinvip/Awesome-ChatGPT?
    pass
    AI did not name dalinvip/Awesome-ChatGPT — 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 dalinvip/Awesome-ChatGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dalinvip/Awesome-ChatGPT 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 dalinvip/Awesome-ChatGPT solve, and who is the primary audience?
    pass
    AI did not name dalinvip/Awesome-ChatGPT — 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?

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dalinvip/Awesome-ChatGPT — 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