REPOGEO REPORT · LITE
agencyenterprise/PromptInject
Default branch main · commit 2928a719 · scanned 6/17/2026, 9:37:31 AM
GitHub: 500 stars · 52 forks
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 agencyenterprise/PromptInject, 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.
- highreadme#1Reposition README H1 and opening paragraph to emphasize evaluation framework
Why:
CURRENT# PromptInject **Paper: Ignore Previous Prompt: Attack Techniques For Language Models** ## Abstract
COPY-PASTE FIX# PromptInject: A Framework for Quantitatively Evaluating LLM Robustness to Adversarial Prompt Attacks PromptInject provides a modular framework to systematically analyze and measure the resilience of large language models against various prompt injection techniques, helping developers and security teams assess AI safety and alignment. **Paper: Ignore Previous Prompt: Attack Techniques For Language Models** ## Abstract
- mediumreadme#2Add a 'Quick Start' or 'How to Use' section to the README
Why:
COPY-PASTE FIX## Quick Start To begin evaluating your LLMs with PromptInject, follow these steps: 1. **Installation:** `pip install promptinject` 2. **Basic Usage:** [Provide a minimal code example demonstrating a simple attack or evaluation run] 3. **Configuration:** [Briefly mention how to configure different attack types or LLMs]
- mediumhomepage#3Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://arxiv.org/abs/2211.09528
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.
- llm-garak/garak · recommended 1×
- Confidential AI · recommended 1×
- microsoft/guidance · recommended 1×
- OWASP/owasp-llm-top-10 · recommended 1×
- microsoft/AdvGLUE · recommended 1×
- CATEGORY QUERYHow to evaluate large language model robustness against prompt injection attacks?you: not recommendedAI recommended (in order):
- Garak (llm-garak/garak)
- Confidential AI
- Microsoft Guidance (microsoft/guidance)
- OWASP LLM Top 10 Project (OWASP/owasp-llm-top-10)
- Adversarial GLUE (microsoft/AdvGLUE)
AI recommended 5 alternatives but never named agencyenterprise/PromptInject. This is the gap to close.
Show full AI answer
- CATEGORY QUERYTools for assessing AI safety and alignment against adversarial prompt attacks?you: #3AI recommended (in order):
- Garak
- Adversarial Robustness Toolbox (ART)
- PromptInject ← you
- OpenAI Evals
- Surge AI
- Scale AI
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 agencyenterprise/PromptInject?passAI named agencyenterprise/PromptInject explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts agencyenterprise/PromptInject in production, what risks or prerequisites should they evaluate first?passAI named agencyenterprise/PromptInject 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 agencyenterprise/PromptInject solve, and who is the primary audience?passAI named agencyenterprise/PromptInject explicitly
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 agencyenterprise/PromptInject. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/agencyenterprise/PromptInject)<a href="https://repogeo.com/en/r/agencyenterprise/PromptInject"><img src="https://repogeo.com/badge/agencyenterprise/PromptInject.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
agencyenterprise/PromptInject — 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