REPOGEO REPORT · LITE

Armur-Ai/Pentest-Swarm-AI

Default branch main · commit ca19c93f · scanned 6/29/2026, 2:16:49 AM

GitHub: 1,981 stars · 394 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

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 Armur-Ai/Pentest-Swarm-AI, 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's core value proposition to emphasize AI framework

Why:

CURRENT

The first open-source pentesting tool built on a real swarm — not just multiple agents in a row.

COPY-PASTE FIX

Update the README's main subtitle or opening paragraph to clearly state its role as an AI-driven offensive security *framework* or *toolchain*. For example, change the subtitle to: 'The open-source AI-driven offensive security framework and toolchain for advanced models, built on a real swarm of agents for autonomous penetration testing.'

highhomepage#2
Add a homepage URL to the repository settings
Why:
COPY-PASTE FIX
```
https://armur.ai/pentest-swarm-ai
```

mediumtopics#3

Add more specific topics for AI-driven vulnerability discovery and continuous monitoring

Why:

CURRENT

ai-agents, bug-bounty, cybersecurity, offensive-security, penetration-testing, penetration-testing-framework, penetration-testing-tools

COPY-PASTE FIX

ai-agents, bug-bounty, cybersecurity, offensive-security, penetration-testing, penetration-testing-framework, penetration-testing-tools, continuous-monitoring, vulnerability-discovery, vulnerability-exploitation

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 Armur-Ai/Pentest-Swarm-AI

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OWASP ZAP

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

OWASP ZAP · recommended 2×
Nuclei · recommended 2×
Semgrep · recommended 1×
Snyk · recommended 1×
Veracode · recommended 1×

CATEGORY QUERY
How to automate security vulnerability discovery using AI agents for continuous monitoring?
you: not recommended
AI recommended (in order):
1. OWASP ZAP
2. Nuclei
3. Semgrep
4. Snyk
5. Veracode
6. Checkmarx
7. Contrast Security
8. Wiz
9. TensorFlow
10. PyTorch
11. scikit-learn
AI recommended 11 alternatives but never named Armur-Ai/Pentest-Swarm-AI. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an AI-driven offensive security framework for orchestrating vulnerability exploitation and reporting in bug bounties.
you: not recommended
AI recommended (in order):
1. Metasploit Framework
2. Nuclei
3. OWASP ZAP
4. Burp Suite
5. ProjectDiscovery's katana + subfinder + httpx
6. Pwnagotchi
AI recommended 6 alternatives but never named Armur-Ai/Pentest-Swarm-AI. 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 Armur-Ai/Pentest-Swarm-AI?
pass
AI named Armur-Ai/Pentest-Swarm-AI explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Armur-Ai/Pentest-Swarm-AI in production, what risks or prerequisites should they evaluate first?
pass
AI named Armur-Ai/Pentest-Swarm-AI 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 Armur-Ai/Pentest-Swarm-AI solve, and who is the primary audience?
pass
AI named Armur-Ai/Pentest-Swarm-AI explicitly
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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Armur-Ai/Pentest-Swarm-AI — 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