REPOGEO REPORT · LITE

mustvlad/ChatGPT-System-Prompts

Default branch main · commit e19d82a2 · scanned 5/16/2026, 5:27:52 PM

GitHub: 1,205 stars · 137 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)

3 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 mustvlad/ChatGPT-System-Prompts, 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 README H1 to clarify it's a prompt collection, not a model/framework

Why:

CURRENT

# ChatGPT System Prompts

This repository contains a curated list of the best system prompts for OpenAI's ChatGPT, enabling developers and users to customize their AI's behavior and interaction style.

COPY-PASTE FIX

# ChatGPT System Prompts: A Curated Collection

This repository offers a curated collection of the best system prompts designed to customize the behavior and interaction style of existing conversational AI models like OpenAI's ChatGPT. It is a resource for prompt engineers and developers, not an AI model or framework itself.

mediumtopics#2
Add more specific topics to clarify the repo's content
Why:
CURRENT
```
chatgpt, gpt4, openai
```
COPY-PASTE FIX
```
chatgpt, gpt4, openai, prompt-engineering, system-prompts, llm-prompts, prompt-collection
```
mediumhomepage#3
Add a homepage URL to the repository's 'About' section
Why:
COPY-PASTE FIX
```
https://github.com/mustvlad/ChatGPT-System-Prompts
```

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 mustvlad/ChatGPT-System-Prompts

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI GPT-3.5/GPT-4

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI GPT-3.5/GPT-4 · recommended 1×
huggingface/transformers · recommended 1×
langchain-ai/langchain · recommended 1×
Google Cloud's Dialogflow CX/ES · recommended 1×
Cohere Command/Generate · recommended 1×

CATEGORY QUERY
How can I better control the persona and responses of my conversational AI?
you: not recommended
AI recommended (in order):
1. OpenAI GPT-3.5/GPT-4
2. Hugging Face Transformers (huggingface/transformers)
3. LangChain (langchain-ai/langchain)
4. Google Cloud's Dialogflow CX/ES
5. Cohere Command/Generate
6. Microsoft Azure OpenAI Service
AI recommended 6 alternatives but never named mustvlad/ChatGPT-System-Prompts. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find effective system instructions to guide large language model interactions?
you: not recommended
AI recommended (in order):
1. OpenAI GPT Best Practices
2. Anthropic Claude Prompt Engineering Guide
3. Learn Prompting
4. Prompt Engineering Guide
5. Hugging Face Transformers
6. LangChain
7. LlamaIndex
8. arXiv
AI recommended 8 alternatives but never named mustvlad/ChatGPT-System-Prompts. 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 mustvlad/ChatGPT-System-Prompts?
pass
AI did not name mustvlad/ChatGPT-System-Prompts — 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 mustvlad/ChatGPT-System-Prompts in production, what risks or prerequisites should they evaluate first?
pass
AI named mustvlad/ChatGPT-System-Prompts 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 mustvlad/ChatGPT-System-Prompts solve, and who is the primary audience?
pass
AI did not name mustvlad/ChatGPT-System-Prompts — 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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mustvlad/ChatGPT-System-Prompts — 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