RRepoGEO

REPOGEO REPORT · LITE

daveshap/ChatGPT_Custom_Instructions

Default branch main · commit 9ed79d25 · scanned 5/25/2026, 6:17:32 AM

GitHub: 1,364 stars · 233 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 daveshap/ChatGPT_Custom_Instructions, 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 H1 and first sentence to specify category and value

    Why:

    CURRENT
    # ChatGPT_Custom_Instructions

Each file has a brief description and the SYSTEM prompt (custom instructions).
    COPY-PASTE FIX
    # ChatGPT_Custom_Instructions

A curated collection of highly structured, comprehensive, and ready-to-use custom instructions (SYSTEM prompts) designed to deeply configure ChatGPT's behavior for consistent and advanced interactions.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    chatgpt, custom-instructions, system-prompts, ai-prompts, prompt-engineering, generative-ai, llm-prompts
  • mediumabout#3
    Refine the 'About' description for clarity and specificity

    Why:

    CURRENT
    Repo of custom instructions that you can use for ChatGPT
    COPY-PASTE FIX
    A curated collection of highly structured and comprehensive custom instructions (SYSTEM prompts) to deeply configure ChatGPT's behavior for consistent, advanced interactions.

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 daveshap/ChatGPT_Custom_Instructions
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Playground
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Playground · recommended 1×
  2. Anthropic's Claude · recommended 1×
  3. Prompt Engineering Guide · recommended 1×
  4. Hugging Face Hub · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    What are effective strategies for creating detailed system prompts for AI assistants?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    Where can I find examples of well-structured initial prompts for AI chatbots?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Playground
    2. Anthropic's Claude
    3. Prompt Engineering Guide
    4. Hugging Face Hub
    5. LangChain
    6. DeepLearning.AI

    AI recommended 6 alternatives but never named daveshap/ChatGPT_Custom_Instructions. 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 daveshap/ChatGPT_Custom_Instructions?
    pass
    AI named daveshap/ChatGPT_Custom_Instructions explicitly

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

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

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MARKDOWN (README)
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daveshap/ChatGPT_Custom_Instructions — 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