REPOGEO REPORT · LITE

FunnyWolf/Viper

Default branch master · commit 78ffab87 · scanned 7/1/2026, 7:36:49 AM

GitHub: 5,118 stars · 666 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /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

3 / 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 FunnyWolf/Viper, 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

Integrate "AI" and "adversary simulation" into the README's initial positioning

Why:

CURRENT

VIPER is a powerful and flexible red team platform. It integrates the core tools and functionalities required for adversary simulation and red team operations, assisting you in efficiently completing cybersecurity assessment tasks.

COPY-PASTE FIX

VIPER is an **AI-powered adversary simulation and red teaming platform**. It integrates core tools and functionalities for advanced cybersecurity assessment tasks, assisting you in efficiently completing red team operations with intelligent automation and analysis.

mediumlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a LICENSE file in the repository root, specifying the chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

lowcomparison#3

Add a "Comparison to Alternatives" section in the README

Why:

COPY-PASTE FIX

Add a new section to the README titled 'Comparison to Alternatives' that outlines how Viper differentiates itself from other red teaming platforms and tools like Cobalt Strike, Metasploit Framework, or AttackIQ, especially regarding its AI capabilities and integrated approach.

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 FunnyWolf/Viper

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Mandiant Advantage Automated Defense

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Mandiant Advantage Automated Defense · recommended 1×
Picus Security Platform · recommended 1×
AttackIQ Security Optimization Platform · recommended 1×
Palo Alto Networks Cortex XSOAR · recommended 1×
Splunk Phantom · recommended 1×

CATEGORY QUERY
What platforms can help automate adversary simulation and red team operations using AI?
you: not recommended
AI recommended (in order):
1. Mandiant Advantage Automated Defense
2. Picus Security Platform
3. AttackIQ Security Optimization Platform
4. Palo Alto Networks Cortex XSOAR
5. Splunk Phantom
6. Caldera
7. TensorFlow
8. PyTorch
AI recommended 8 alternatives but never named FunnyWolf/Viper. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an integrated platform for advanced post-exploitation and cybersecurity assessment tasks.
you: not recommended
AI recommended (in order):
1. Cobalt Strike
2. Metasploit Framework (rapid7/metasploit-framework)
3. Mythic C2 (its-a-feature/Mythic)
4. Brute Ratel C4
5. Empire (BC-SECURITY/Empire)
6. Sliver C2 (BishopFox/sliver)
AI recommended 6 alternatives but never named FunnyWolf/Viper. 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 FunnyWolf/Viper?
pass
AI named FunnyWolf/Viper explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts FunnyWolf/Viper in production, what risks or prerequisites should they evaluate first?
pass
AI named FunnyWolf/Viper 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 FunnyWolf/Viper solve, and who is the primary audience?
pass
AI named FunnyWolf/Viper 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 FunnyWolf/Viper. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/FunnyWolf/Viper.svg)](https://repogeo.com/en/r/FunnyWolf/Viper)

HTML

<a href="https://repogeo.com/en/r/FunnyWolf/Viper"><img src="https://repogeo.com/badge/FunnyWolf/Viper.svg" alt="RepoGEO" /></a>

Pro

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FunnyWolf/Viper — 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