RRepoGEO

REPOGEO REPORT · LITE

PurpleAILAB/Decepticon

Default branch main · commit fd485c15 · scanned 5/23/2026, 9:01:33 PM

GitHub: 4,013 stars · 791 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
40 /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
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 PurpleAILAB/Decepticon, 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 opening to explicitly state core function

    Why:

    CURRENT
    "Another AI hacker? Let us guess — it runs nmap and writes a report."
    COPY-PASTE FIX
    Decepticon is an advanced, autonomous AI agent designed for red team operations, cybersecurity pentesting, and vulnerability assessment. It leverages generative AI to simulate sophisticated hacking techniques and identify weaknesses in systems, going beyond simple scanning to provide actionable insights.
  • mediumreadme#2
    Add a 'What Decepticon Does' section to detail capabilities

    Why:

    COPY-PASTE FIX
    Add a new section immediately after the introductory paragraph (or video) titled 'What Decepticon Does' or 'Key Capabilities,' listing specific actions it performs, e.g., 'Automated reconnaissance,' 'Exploitation of common vulnerabilities,' 'Post-exploitation activities,' 'Vulnerability reporting,' etc.
  • lowreadme#3
    Clarify Decepticon's unique approach and differentiators

    Why:

    COPY-PASTE FIX
    Add a section like 'Why Decepticon?' or 'How is Decepticon Different?' that explains its unique focus (e.g., 'Unlike traditional scanners, Decepticon employs a sophisticated agentic architecture to adapt and learn during engagements, focusing on real-world attack simulations rather than just static vulnerability checks.')

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 PurpleAILAB/Decepticon
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MITRE/caldera
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MITRE/caldera · recommended 1×
  2. AttackIQ Security Optimization Platform · recommended 1×
  3. prowler-cloud/prowler · recommended 1×
  4. OpenAI GPT-4 / GPT-3.5 · recommended 1×
  5. Anthropic Claude · recommended 1×
  • CATEGORY QUERY
    How can I automate red team exercises using an AI-powered hacking agent?
    you: not recommended
    AI recommended (in order):
    1. Caldera (MITRE/caldera)
    2. AttackIQ Security Optimization Platform
    3. Prowler (prowler-cloud/prowler)
    4. OpenAI GPT-4 / GPT-3.5
    5. Anthropic Claude
    6. Google Gemini
    7. OpenAI Gym (openai/gym)
    8. Stable Baselines3 (DLR-RM/stable-baselines3)
    9. Nessus
    10. OpenVAS (greenbone/openvas)
    11. Metasploit Framework (rapid7/metasploit-framework)
    12. Nuclei (projectdiscovery/nuclei)

    AI recommended 12 alternatives but never named PurpleAILAB/Decepticon. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What generative AI tools assist with autonomous cybersecurity pentesting and vulnerability assessment?
    you: not recommended
    AI recommended (in order):
    1. PlexTrac
    2. Nucleus Security
    3. Vulcan Cyber
    4. NodeZero
    5. Picus Complete Security Validation Platform
    6. Tenable.io
    7. Lumin Exposure View
    8. Rapid7 InsightVM
    9. InsightConnect
    10. Cymulate

    AI recommended 10 alternatives but never named PurpleAILAB/Decepticon. 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 PurpleAILAB/Decepticon?
    pass
    AI named PurpleAILAB/Decepticon explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts PurpleAILAB/Decepticon in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PurpleAILAB/Decepticon 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 PurpleAILAB/Decepticon solve, and who is the primary audience?
    pass
    AI named PurpleAILAB/Decepticon 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 PurpleAILAB/Decepticon. 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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PurpleAILAB/Decepticon — 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