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REPOGEO REPORT · LITE

ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique

Default branch main · commit bf2735ba · scanned 5/28/2026, 2:53:10 AM

GitHub: 1,004 stars · 118 forks

AI VISIBILITY SCORE
10 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
0 / 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 ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    prompt-engineering, chatgpt, llm, guide, tutorial, ai-prompts, large-language-models, generative-ai, prompt-techniques, chinese
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of the MIT License (or another suitable open-source license if preferred).
  • mediumabout#3
    Refine the repository's 'About' description

    Why:

    CURRENT
    ChatGPT提问技巧
    COPY-PASTE FIX
    一本关于如何向ChatGPT提问以获得高质量答案的完整指南，涵盖各种提示工程技术和实践示例。

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 ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 3×
  2. OpenAI Playground · recommended 1×
  3. Anthropic Console · recommended 1×
  4. run-llama/llama_index · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to improve output quality from large language models for specific tasks?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Playground
    2. Anthropic Console
    3. LlamaIndex (run-llama/llama_index)
    4. LangChain (langchain-ai/langchain)
    5. Pinecone
    6. Weaviate (weaviate/weaviate)
    7. Chroma (chroma-core/chroma)
    8. OpenAI API Fine-tuning
    9. Hugging Face Transformers library (huggingface/transformers)
    10. LoRA
    11. LangChain Output Parsers (langchain-ai/langchain)
    12. Guardrails AI (guardrails-ai/guardrails)
    13. LangChain Agents (langchain-ai/langchain)
    14. Semantic Kernel (microsoft/semantic-kernel)
    15. Label Studio (heartexlabs/label-studio)
    16. Argilla (argilla-io/argilla)

    AI recommended 16 alternatives but never named ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective prompt engineering strategies for interacting with AI chatbots?
    you: not recommended
    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique?
    pass
    AI did not name ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique — 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 ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique — 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?

  • In one sentence, what problem does the repo ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique solve, and who is the primary audience?
    pass
    AI did not name ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique — 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 ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique. 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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ORDINAND/The-Art-of-Asking-ChatGPT-for-High-Quality-Answers-A-complete-Guide-to-Prompt-Engineering-Technique — 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