REPOGEO REPORT · LITE

CyberAlbSecOP/Awesome_GPT_Super_Prompting

Default branch main · commit 8e1a3a6d · scanned 5/12/2026, 5:44:31 PM

GitHub: 4,037 stars · 495 forks

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 CyberAlbSecOP/Awesome_GPT_Super_Prompting, 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 clearly state its purpose

Why:

CURRENT

⭐⭐⭐⭐⭐ +3000 STARS | THANK YOU! ⭐⭐⭐⭐⭐

## What will you find in V.2.0:

COPY-PASTE FIX

⭐⭐⭐⭐⭐ +3000 STARS | THANK YOU! ⭐⭐⭐⭐⭐

This repository is a curated collection of advanced techniques and resources for exploring, exploiting, and understanding Large Language Model (LLM) security vulnerabilities, including prompt injection, jailbreaks, and adversarial prompting.

## What will you find in V.2.0:

mediumabout#2

Refine the 'About' description to emphasize its collection/research nature

Why:

CURRENT

ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.

COPY-PASTE FIX

A curated collection of advanced techniques and resources for LLM security research, including ChatGPT jailbreaks, prompt injection, prompt leaks, super prompts, and adversarial prompt engineering.

lowtopics#3

Add specific topics related to LLM red-teaming and vulnerability research

Why:

CURRENT

adversarial-machine-learning, agent, ai, assistant, chatgpt, gpt, gpt-3, gpt-4, hacking, jailbreak, leaks, llm, prompt-engineering, prompt-injection, prompt-security, prompts, system-prompt

COPY-PASTE FIX

adversarial-machine-learning, agent, ai, assistant, chatgpt, gpt, gpt-3, gpt-4, hacking, jailbreak, leaks, llm, llm-red-teaming, prompt-engineering, prompt-injection, prompt-security, prompts, system-prompt, vulnerability-research, ai-security-research

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 CyberAlbSecOP/Awesome_GPT_Super_Prompting

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

openai/evals

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

openai/evals · recommended 1×
llm-ops/garak · recommended 1×
Prompt Security · recommended 1×
guardrails-ai/guardrails · recommended 1×
OWASP Top 10 for Large Language Model Applications · recommended 1×

CATEGORY QUERY
How to bypass large language model safety constraints using prompt techniques?
you: not recommended
Show full AI answer
CATEGORY QUERY
Looking for resources on securing conversational AI against prompt manipulation attacks.
you: not recommended
AI recommended (in order):
1. OpenAI Evals (openai/evals)
2. Garak (llm-ops/garak)
3. Prompt Security
4. Guardrails AI (guardrails-ai/guardrails)
5. OWASP Top 10 for Large Language Model Applications
6. Adversarial GLUE
AI recommended 6 alternatives but never named CyberAlbSecOP/Awesome_GPT_Super_Prompting. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 CyberAlbSecOP/Awesome_GPT_Super_Prompting?
pass
AI did not name CyberAlbSecOP/Awesome_GPT_Super_Prompting — 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 CyberAlbSecOP/Awesome_GPT_Super_Prompting in production, what risks or prerequisites should they evaluate first?
pass
AI named CyberAlbSecOP/Awesome_GPT_Super_Prompting 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 CyberAlbSecOP/Awesome_GPT_Super_Prompting solve, and who is the primary audience?
pass
AI did not name CyberAlbSecOP/Awesome_GPT_Super_Prompting — 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 CyberAlbSecOP/Awesome_GPT_Super_Prompting. 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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MARKDOWN (README)

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CyberAlbSecOP/Awesome_GPT_Super_Prompting — 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